What Is Vintage Steel Medical Cabinet?
vintage steel medical cabinet fully deserves the fame as one of the most popular products in the market. To make it own unique appearance, our designers are required to be good at observing the design sources and getting inspired. They come up with the far-reaching and creative ideas to design the product. By adopting the progressive technologies, our technicians make our product highly sophisticated and function perfectly.
Made of the well-selected raw materials from our reliable long-term suppliers, our hospital furniture manufacturer is of superior quality assurance. Produced by our sophisticated craftsmanship, the product has the advantages of good durability and high economic value, as well as scientific design. By utilizing state-of-the-art production concepts and technologies, we have successfully saved manpower and resources through rational planning, therefore, it is also very competitive in its price.
Our focus has always been, and will always be, on service competitiveness. Our goal is to provide the highest quality products at a fair price. We maintain a full staff of engineers dedicated to the field and house state-of-art equipment in our factory. This combination allows qtjadx3f to provide consistent and always high-quality standard products, hence maintaining strong service competitiveness.
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The challenge for companies committed to developing medical diagnostic equipment is to provide consumers with high-quality and low-cost products. In terms of reducing medical costs and improving patient care services, the most important thing is to reduce the volume and improve the accuracy of these medical devices. In today's increasingly serious population aging problem, the above demand is more urgent
With the development and continuous improvement of the monitoring function of medical equipment, telemedicine providers can provide better diagnostic tools for home patients, emergency room paramedics and hospitals in several important areas of human health. Sphygmomanometers, blood glucose meters, defibrillators and other monitoring instruments need clear analog signals for accurate measurement, otherwise they may be life-threatening. The excellent design of analog signal path can help designers reduce the interference of external noise, expand the dynamic range and enhance the accuracy. In addition, in terms of component selection, designers must also choose carefully to meet the performance requirements of the final product.
High performance requirements in small packages
Previously, it was generally believed that medical equipment in hospitals and clinics was more accurate than portable instruments used at home. However, new technological trends are rapidly reversing this view. The users of the new portable medical devices are not only ordinary consumers, but also patients with deep scientific and technological understanding. Therefore, the needs of customers are no longer limited to taking body temperature, ECG and blood pressure. What customers need is a full range of nursing and measurement functions.
In order to meet people's urgent demand for home medical diagnostic instruments, equipment suppliers are relying on advanced inventory management and innovative design to enhance market competitiveness, and equip products with more functions to win more users. In the field of developing home medical instruments, one factor is very important, which is the development time required from the initial design to the real launch of the product. Shortening the time to market can enable manufacturers' products to seize the market. Whether the development cycle can be shortened depends on whether the design of system designers is flexible and cost-effective.
Process technology affects system design
Although electrical specifications are the main factor for designers to select components, the process used to manufacture integrated circuits is also important. For example, a typical blood glucose meter usually needs to be equipped with an operational amplifier with very low input bias current. Most designers will choose JFET amplifier. However, they should consider the temperature before making a decision.
Because JFET has a very low initial input bias, it is vulnerable to temperature changes. For every 10 C rise, the input bias will approximately double. To calculate the drift of the input bias, use the following formula (reference 1).
Ib(T)Ib(T0) x 2(T-T0)/10
For example, a JFET Input Operational Amplifier (such as National Semiconductor's lf411) has an input bias current of 50pA at 25 C, while a better option is National Semiconductor's lmp7731, which is a bipolar input operational amplifier with an input bias current of 1.5na. Through the above formula, we can quickly calculate that the input bias current of lf411 becomes 3.2na at 85 C, which is twice that of lmp7731.
Trade off of evaluation system
Speed, noise and power consumption may be equally important for some designs. A low-noise device will consume more current, while a low-power device can only provide limited bandwidth. One way to overcome these problems is to use inverse compensation amplifiers in appropriate applications. Compared with the stable unit gain and high speed, the advantage of the anti compensation amplifier is that it can provide a large bandwidth without affecting the power consumption.
Inverse compensation operational amplifier is most suitable for current voltage conversion (transimpedance) circuit. In medical instruments, one of the most common applications is to measure the oxygen content in blood cells, which is called SpO2 or saturated or peripheral oxygen. Figure 1 shows the block diagram of SpO2 module, in which the anti compensation amplifier (TIA) is used to convert the current from the photodiode into voltage.
Figure 1 typical block diagram of SpO2 module
Use shortcuts to shorten design time
The most important parameter of medical instruments is noise, which can cause serious interference to the circuit itself and nearby equipment. Calculating noise is a tedious task, especially when you want to calculate the overall impact of signal path on signal-to-noise ratio from power supply, amplifier, data converter and external components.
Generally speaking, medical instrument circuits tend to work at a lower frequency, so the designers of these systems usually pay more attention to the noise in the frequency band of 0.1 to 10Hz, also known as peak to peak noise. Unfortunately, some data sheets do not provide time domain noise (peak to peak) values, but only typical charts of voltage or current noise density. In addition to waiting for the circuit supplier to provide measurement data, there is a fast method to help calculate the peak to peak noise.
Suppose you intend to use lmp7731 of national semiconductor to calculate the noise of peak to peak (0.1 to 10Hz) voltage. First, select a point in the frequency range within the specified frequency band, such as 1Hz, and the value in the comparison curve is 5.1nv / Hz (Fig. 2). Then use the following formula to calculate the root mean square value (RMS) of noise: Formula 1: ENRMS = "enf" ln (10 / 0.1), Where enf is the noise at 1Hz. The total root mean square noise of 10.9nv can be obtained through the above formula. If you want to calculate the peak to peak noise, you only need to multiply this root mean square value by 6.6 to obtain 72.2nv. The result of this estimation is quite good, which is close to the specification 78nv listed in the data sheet.
Fig. 2 Relationship between input voltage noise and frequency of lmp7731 frequency and voltage noise
If the voltage noise density diagram in the data sheet does not represent the noise value at 1Hz, you can use the following simple equation (equation 2) to calculate the value at a certain frequency.
Where ENB is broadband noise (usually the value at 1kHz), and FCE is the 1 / F inflection point. As for F is the frequency of interest, in our case, it is 1Hz.
With the development and continuous improvement of the monitoring function of medical equipment, telemedicine providers can provide better diagnostic tools for home patients, emergency room paramedics and hospitals in several important areas of human health. Sphygmomanometers, blood glucose meters, defibrillators and other monitoring instruments need clear analog signals for accurate measurement, otherwise they may be life-threatening. The excellent design of analog signal path can help designers reduce the interference of external noise, expand the dynamic range and enhance the accuracy. In addition, in terms of component selection, designers must also choose carefully to meet the performance requirements of the final product.
High performance requirements in small packages
Previously, it was generally believed that medical equipment in hospitals and clinics was more accurate than portable instruments used at home. However, new technological trends are rapidly reversing this view. The users of the new portable medical devices are not only ordinary consumers, but also patients with deep scientific and technological understanding. Therefore, the needs of customers are no longer limited to taking body temperature, ECG and blood pressure. What customers need is a full range of nursing and measurement functions.
In order to meet people's urgent demand for home medical diagnostic instruments, equipment suppliers are relying on advanced inventory management and innovative design to enhance market competitiveness, and equip products with more functions to win more users. In the field of developing home medical instruments, one factor is very important, which is the development time required from the initial design to the real launch of the product. Shortening the time to market can enable manufacturers' products to seize the market. Whether the development cycle can be shortened depends on whether the design of system designers is flexible and cost-effective.
Process technology affects system design
Although electrical specifications are the main factor for designers to select components, the process used to manufacture integrated circuits is also important. For example, a typical blood glucose meter usually needs to be equipped with an operational amplifier with very low input bias current. Most designers will choose JFET amplifier. However, they should consider the temperature before making a decision.
Because JFET has a very low initial input bias, it is vulnerable to temperature changes. For every 10 C rise, the input bias will approximately double. To calculate the drift of the input bias, use the following formula (reference 1).
Ib(T)Ib(T0) x 2(T-T0)/10
For example, a JFET Input Operational Amplifier (such as National Semiconductor's lf411) has an input bias current of 50pA at 25 C, while a better option is National Semiconductor's lmp7731, which is a bipolar input operational amplifier with an input bias current of 1.5na. Through the above formula, we can quickly calculate that the input bias current of lf411 becomes 3.2na at 85 C, which is twice that of lmp7731.
Trade off of evaluation system
Speed, noise and power consumption may be equally important for some designs. A low-noise device will consume more current, while a low-power device can only provide limited bandwidth. One way to overcome these problems is to use inverse compensation amplifiers in appropriate applications. Compared with the stable unit gain and high speed, the advantage of the anti compensation amplifier is that it can provide a large bandwidth without affecting the power consumption.
Inverse compensation operational amplifier is most suitable for current voltage conversion (transimpedance) circuit. In medical instruments, one of the most common applications is to measure the oxygen content in blood cells, which is called SpO2 or saturated or peripheral oxygen. Figure 1 shows the block diagram of SpO2 module, in which the anti compensation amplifier (TIA) is used to convert the current from the photodiode into voltage.
Figure 1 typical block diagram of SpO2 module
Use shortcuts to shorten design time
The most important parameter of medical instruments is noise, which can cause serious interference to the circuit itself and nearby equipment. Calculating noise is a tedious task, especially when you want to calculate the overall impact of signal path on signal-to-noise ratio from power supply, amplifier, data converter and external components.
Generally speaking, medical instrument circuits tend to work at a lower frequency, so the designers of these systems usually pay more attention to the noise in the frequency band of 0.1 to 10Hz, also known as peak to peak noise. Unfortunately, some data sheets do not provide time domain noise (peak to peak) values, but only typical charts of voltage or current noise density. In addition to waiting for the circuit supplier to provide measurement data, there is a fast method to help calculate the peak to peak noise.
Suppose you intend to use lmp7731 of national semiconductor to calculate the noise of peak to peak (0.1 to 10Hz) voltage. First, select a point in the frequency range within the specified frequency band, such as 1Hz, and the value in the comparison curve is 5.1nv / Hz (Fig. 2). Then use the following formula to calculate the root mean square value (RMS) of noise: Formula 1: ENRMS = "enf" ln (10 / 0.1), Where enf is the noise at 1Hz. The total root mean square noise of 10.9nv can be obtained through the above formula. If you want to calculate the peak to peak noise, you only need to multiply this root mean square value by 6.6 to obtain 72.2nv. The result of this estimation is quite good, which is close to the specification 78nv listed in the data sheet.
Fig. 2 Relationship between input voltage noise and frequency of lmp7731 frequency and voltage noise
If the voltage noise density diagram in the data sheet does not represent the noise value at 1Hz, you can use the following simple equation (equation 2) to calculate the value at a certain frequency.
Where ENB is broadband noise (usually the value at 1kHz), and FCE is the 1 / F inflection point. As for F is the frequency of interest, in our case, it is 1Hz.
Capacitive detection technology continues to be favored in traditional man-machine interface applications, such as laptop touch panel, MP3 player, touch screen display and short-range detector. In addition to using capacitive sensors to replace mechanical buttons, a little imagination and the basic principle of man-machine interface design will enable many other applications to use this technology. Figure 1 shows examples of application concepts that can be improved by using human contact detection.Figure 1. Device using capacitive sensor electrodes
For the device shown in Fig. 1, it is often advantageous to know the contact quality between the device and the skin before starting the device or measuring. These devices include medical probes that need to be close to the skin, biopotential electrode sensors, or housings for fixing catheters. In order to determine the contact conditions, several green capacitive sensor electrodes in the figure can be directly embedded into the plastic shell of the device during injection molding production. The host microcontroller reads some status registers on the capacitive sensor controller IC, which indicate how close the capacitive sensor is to the skin. Then, the basic detection algorithm running on the host microcontroller processes the status register information to determine whether the contact between each sensor electrode and the skin is appropriate.In the traditional man-machine interface application of capacitive detection, people usually touch the sensor electrode by finger touch. The example in Fig. 1 uses a capacitive sensor in an unconventional way, and the user places a device containing a capacitive detection electrode on the human body. Developing such applications is simple, but in order to build a stable and reliable system, some key guidelines should be followedCapacitance digital controller. To develop high-performance contact detection applications, we must first select a suitable capacitor digital controller (CDC). For the application shown in Fig. 1, the contact between the device surface and the skin is directly measured by a slight change in energy, which is distributed in the capacitive sensor electrode array and occurs when the device contacts the skin. The accuracy of this measurement depends on the sensitivity of the CDC analog front end and the number of sensor electrodes. The accuracy of capacitive sensor manufactured by traditional PCB process is usually in the range of 50 FF to 20 PF, so the high-precision measurement technology using 16 bit CDC is ideal.When selecting CDC, we should first clarify some key characteristics, such as high-resolution analog front-end with 16 bit ADC, programmable sensor sensitivity setting, programmable sensor offset control, on-chip environment calibration, sufficient capacitive input channels supporting an ideal number of sensor electrodes, and integrated design without using external RC devices for sensor calibration. These features support reliable and flexible applications and bring the best user experience. For example, programmable sensitivity allows the interface designer to preset the best sensor sensitivity for a specific application rather than adopting a fixed solution that may lead to poor sensitivity. Programmable offset control is another important feature for interface designers, because the offset value of sensor boards in each production batch may be slightly different. The quick preview feature allows you to change the host firmware settings before putting a new sensor board into mass production. For applications where ambient temperature or humidity is expected to change, on-chip environmental calibration can achieve a more reliable solution. Note that the electrode sensor is constructed using standard PCB copper traces; The properties of the substrate will change with the change of temperature and humidity, so the baseline level of the sensor output will be changed. If CDC supports on-chip calibration, this baseline drift can be dynamically compensated during product use.
Small electrodes require high sensitivity. The objective of measurement is to determine the closeness of the equipment to the skin; The better the contact quality between the skin and the equipment, the more accurate the reading of the equipment. The accuracy of measurement depends on the number (the more electrodes, the higher resolution) and size of electrode sensors distributed in the contact area of the device. For the application shown in Figure 1, the surface area of the device is generally very small, and designers need to use small sensor electrodes when developing applications.In order to reliably measure the small capacitance change related to the small sensor electrode (generally less than 50 PF), a high-sensitivity analog front-end controller is required. Remember that the type and thickness of plastic covering material will further affect the small signal emitted by the sensor through the plastic. The analog front-end measurement of the controller must have sufficient sensitivity to measure this small signal, and maintain a good signal margin between the measured signal and the threshold level detection setting under all operating conditions (such as different power supply voltage, temperature and humidity, and the thickness and type of coverage material). Low signal margin will increase the risk of false detection and sensor instability. In order to minimize risk, when using CDC with 16 bit ADC, a margin of at least 1000 LSB shall be maintained between the sensor baseline level (the sensor is not in contact with the skin) and the contact threshold level.Ad7147 and ad7148 captouch programmable controllers are used for single electrode capacitance sensors. They have 16 bit resolution, can carry out nano farad level measurement, and can set 16 programmable threshold detection level values in the full-scale range. Both controllers support 3 mm & Tides under 1 mm plastic covering material with a dielectric constant of 3.0; 3 mm small sensor electrode while still maintaining the full-scale signal margin of 1000 ADC LSB. The full-scale signal margin is the difference between the sensor output without skin contact and with skin contact.Maintain reliable performance. The capacitive sensor electrode is made of standard copper material or flexible material on PCB. The properties of this material change with temperature and humidity. This change will offset the baseline level (the electrical average of all sensor thresholds is based on the baseline level). A large baseline offset increases the risk that the contact threshold level is too low or too high (too low or too high depends on the direction of baseline offset), which will cause false contact error, or make the threshold level either too sensitive or not sensitive enough, resulting in the instability of contact state. In order to maintain the original signal contact threshold detection level margin (sensitivity) of the sensor, CDC needs to automatically track the amplitude of baseline offset error and readjust the threshold setting accordingly. The example in Figure 2 shows how the threshold levels of ad7147 and ad7148 are automatically tracked and adjusted for baseline offset changes caused by changes in environmental conditions.Figure 2. Ad7147 / ad7148 on chip environment calibrationEliminate measurement errors. The modification of capacitive sensor electrode array in the device may cause space constraints and force the designer to place the CDC away from the capacitive sensor. This will increase the length of parallel sensor routing and make the wiring dense, which is not conducive to capacitive detection applications, because routing at different DC potentials will form the stray coupling path shown in Fig. 3a. The grounding layer of PCB cannot prevent this situation because the wiring and grounding layer are at different DC potentials, which will still form stray capacitance (Fig. 3b).Figure 3. The path of stray capacitance shows the results of the following parallel routing: parallel routing (a) without copper pouring layer, parallel routing (b) on grounding copper pouring layer, and parallel routing (c) on copper pouring layer with the same DC potential as the routingTo eliminate the stray capacitance error, one method is to surround the adjacent routing with a layer driven by the DC level (the DC level is the same as the DC level of the capacitive sensor electrode and routing). The ad7147 and ad7148 devices eliminate stray capacitance by providing a dedicated acschield output with this function, as shown in Figure 3C.Consumer health care equipment such as spa and skin care products are entering ordinary families from professional institutions, and users are no longer technicians who are specially trained and familiar with products and their applications. Therefore, many of these products need a more intelligent user interface to enable untrained users to master the correct product use methods. Capacitive detection provides new choices for user interface designers, enabling them to explore various innovative methods to meet new user interface requirements. Capacitive digital technology provides contact information between capacitive sensor electrode and skin, which can be used to maintain the best product performance and safety.
For the device shown in Fig. 1, it is often advantageous to know the contact quality between the device and the skin before starting the device or measuring. These devices include medical probes that need to be close to the skin, biopotential electrode sensors, or housings for fixing catheters. In order to determine the contact conditions, several green capacitive sensor electrodes in the figure can be directly embedded into the plastic shell of the device during injection molding production. The host microcontroller reads some status registers on the capacitive sensor controller IC, which indicate how close the capacitive sensor is to the skin. Then, the basic detection algorithm running on the host microcontroller processes the status register information to determine whether the contact between each sensor electrode and the skin is appropriate.In the traditional man-machine interface application of capacitive detection, people usually touch the sensor electrode by finger touch. The example in Fig. 1 uses a capacitive sensor in an unconventional way, and the user places a device containing a capacitive detection electrode on the human body. Developing such applications is simple, but in order to build a stable and reliable system, some key guidelines should be followedCapacitance digital controller. To develop high-performance contact detection applications, we must first select a suitable capacitor digital controller (CDC). For the application shown in Fig. 1, the contact between the device surface and the skin is directly measured by a slight change in energy, which is distributed in the capacitive sensor electrode array and occurs when the device contacts the skin. The accuracy of this measurement depends on the sensitivity of the CDC analog front end and the number of sensor electrodes. The accuracy of capacitive sensor manufactured by traditional PCB process is usually in the range of 50 FF to 20 PF, so the high-precision measurement technology using 16 bit CDC is ideal.When selecting CDC, we should first clarify some key characteristics, such as high-resolution analog front-end with 16 bit ADC, programmable sensor sensitivity setting, programmable sensor offset control, on-chip environment calibration, sufficient capacitive input channels supporting an ideal number of sensor electrodes, and integrated design without using external RC devices for sensor calibration. These features support reliable and flexible applications and bring the best user experience. For example, programmable sensitivity allows the interface designer to preset the best sensor sensitivity for a specific application rather than adopting a fixed solution that may lead to poor sensitivity. Programmable offset control is another important feature for interface designers, because the offset value of sensor boards in each production batch may be slightly different. The quick preview feature allows you to change the host firmware settings before putting a new sensor board into mass production. For applications where ambient temperature or humidity is expected to change, on-chip environmental calibration can achieve a more reliable solution. Note that the electrode sensor is constructed using standard PCB copper traces; The properties of the substrate will change with the change of temperature and humidity, so the baseline level of the sensor output will be changed. If CDC supports on-chip calibration, this baseline drift can be dynamically compensated during product use.
Small electrodes require high sensitivity. The objective of measurement is to determine the closeness of the equipment to the skin; The better the contact quality between the skin and the equipment, the more accurate the reading of the equipment. The accuracy of measurement depends on the number (the more electrodes, the higher resolution) and size of electrode sensors distributed in the contact area of the device. For the application shown in Figure 1, the surface area of the device is generally very small, and designers need to use small sensor electrodes when developing applications.In order to reliably measure the small capacitance change related to the small sensor electrode (generally less than 50 PF), a high-sensitivity analog front-end controller is required. Remember that the type and thickness of plastic covering material will further affect the small signal emitted by the sensor through the plastic. The analog front-end measurement of the controller must have sufficient sensitivity to measure this small signal, and maintain a good signal margin between the measured signal and the threshold level detection setting under all operating conditions (such as different power supply voltage, temperature and humidity, and the thickness and type of coverage material). Low signal margin will increase the risk of false detection and sensor instability. In order to minimize risk, when using CDC with 16 bit ADC, a margin of at least 1000 LSB shall be maintained between the sensor baseline level (the sensor is not in contact with the skin) and the contact threshold level.Ad7147 and ad7148 captouch programmable controllers are used for single electrode capacitance sensors. They have 16 bit resolution, can carry out nano farad level measurement, and can set 16 programmable threshold detection level values in the full-scale range. Both controllers support 3 mm & Tides under 1 mm plastic covering material with a dielectric constant of 3.0; 3 mm small sensor electrode while still maintaining the full-scale signal margin of 1000 ADC LSB. The full-scale signal margin is the difference between the sensor output without skin contact and with skin contact.Maintain reliable performance. The capacitive sensor electrode is made of standard copper material or flexible material on PCB. The properties of this material change with temperature and humidity. This change will offset the baseline level (the electrical average of all sensor thresholds is based on the baseline level). A large baseline offset increases the risk that the contact threshold level is too low or too high (too low or too high depends on the direction of baseline offset), which will cause false contact error, or make the threshold level either too sensitive or not sensitive enough, resulting in the instability of contact state. In order to maintain the original signal contact threshold detection level margin (sensitivity) of the sensor, CDC needs to automatically track the amplitude of baseline offset error and readjust the threshold setting accordingly. The example in Figure 2 shows how the threshold levels of ad7147 and ad7148 are automatically tracked and adjusted for baseline offset changes caused by changes in environmental conditions.Figure 2. Ad7147 / ad7148 on chip environment calibrationEliminate measurement errors. The modification of capacitive sensor electrode array in the device may cause space constraints and force the designer to place the CDC away from the capacitive sensor. This will increase the length of parallel sensor routing and make the wiring dense, which is not conducive to capacitive detection applications, because routing at different DC potentials will form the stray coupling path shown in Fig. 3a. The grounding layer of PCB cannot prevent this situation because the wiring and grounding layer are at different DC potentials, which will still form stray capacitance (Fig. 3b).Figure 3. The path of stray capacitance shows the results of the following parallel routing: parallel routing (a) without copper pouring layer, parallel routing (b) on grounding copper pouring layer, and parallel routing (c) on copper pouring layer with the same DC potential as the routingTo eliminate the stray capacitance error, one method is to surround the adjacent routing with a layer driven by the DC level (the DC level is the same as the DC level of the capacitive sensor electrode and routing). The ad7147 and ad7148 devices eliminate stray capacitance by providing a dedicated acschield output with this function, as shown in Figure 3C.Consumer health care equipment such as spa and skin care products are entering ordinary families from professional institutions, and users are no longer technicians who are specially trained and familiar with products and their applications. Therefore, many of these products need a more intelligent user interface to enable untrained users to master the correct product use methods. Capacitive detection provides new choices for user interface designers, enabling them to explore various innovative methods to meet new user interface requirements. Capacitive digital technology provides contact information between capacitive sensor electrode and skin, which can be used to maintain the best product performance and safety.
Application of DICOM standard in portable medical equipment1 IntroductionRadio frequency refers to the electromagnetic wave with a certain wavelength that can be used for radio communication. Radio frequency identification technology is a non-contact automatic identification technology rising in the 1990s. It uses the transmission characteristics of radio frequency signal and spatial coupling (inductive or electromagnetic coupling) or radar reflection to realize the automatic identification of the identified object. However, at present, there are still many bottlenecks in the development of RFID, and the low data reading rate is one of the main bottlenecks.
This paper will analyze the RFID system by introducing the basic composition and working principle of the RFID system. Combined with the problems encountered in the practical application of RFID system and the reasons for the low reading rate of the system due to the blind area in the reading range of readers, redundant data in different reading points, mutual interference of readers and other factors, this paper puts forward from the following aspects: reasonably optimizing the hardware configuration, perfecting the software design Play the role of middleware and integrate other technologies to improve the data reading rate of RFID system.2. Basic composition of RFID systemRFID system at least consists of electronic tag (e-tag / transponder, also known as smart tag) and reader (reader / interleaver, also known as reader / writer).Electronic tag is the data carrier of RFID system. Electronic tag is composed of tag antenna and tag special chip. Electronic tags are divided into active tag, passive tag and semi passive tag according to different power supply modes; It can be divided into low-frequency electronic tag, high-frequency electronic tag, UHF electronic tag and microwave electronic tag according to different frequencies; It is divided into * label, linear label, paper label, glass tube label, circular label and special-purpose special-shaped label according to different packaging forms; According to their different working modes, they are divided into active tags and passive tags.Reader is a device used to read or write electronic tag information. It can be designed into many kinds of products according to specific use environment and requirements. The reader communicates with the electronic tag wirelessly through the antenna, which can read or write the electronic tag identification code and memory data.A typical reader consists of a high frequency module (transmitter and receiver), a control unit, and a reader antenna. Of course, RFID system needs the support of computer and other hardware equipment and software in practical application. Figure 1 shows the composition of a typical RFID system.3 basic model of RFID systemThe basic model of RFID system is shown in Figure 2. As the radio frequency carrier, the electronic tag and the reader realize the spatial (contactless) coupling of the radio frequency signal through the coupling element. In the coupling channel, the energy transmission and data exchange are realized according to the timing relationship.Discussion on reading rate of RFID systemThrough the introduction of RFID system, we believe that the main reasons for the low reading rate of RFID system are: there are blind areas in the reading range of readers, redundant data in different reading points, mutual interference of readers, etc. In view of the above problems, we discuss them from the following four aspects.
4.1 reasonably optimize hardware configurationIn terms of hardware, we must first clarify a problem. That's what you really need. Don't blindly think that "the price is expensive, the larger the reading range and the higher the frequency, the better". It is the so-called "tailor-made" that "what suits you" is the best. Based on this understanding, you can choose hardware devices that meet the actual needs.At the same time, consider all RFID tags and readers as a complete "data network", so as to reasonably optimize the hardware configuration, so as to maximize the efficiency of the whole system. Taking the access control system as an example, in order to prevent the blind area in the reading range of the reader, resulting in missing reading, the number of readers or antennas can be increased to compensate for the defect of blind area in the reading range of the reader; In order to prevent mutual interference between readers, the method of relatively isolating readers or antennas in space can be adopted to avoid mutual interference. In addition, according to the actual needs, the data reading rate of RFID system can also be improved by properly adjusting the antenna layout and antenna transmission power.4.2 improve software designAt present, the hardware facilities of the optimized RFID system can basically meet the needs of data reading rate. With the decline of reader price, end users can easily deploy a large number of readers in their application sites, which not only solves the problem of missing reading, but also obtains more useful information from these systems. But the new problem is: redundant data reading or cross data reading. A simple description of this problem is that "a tag that should not be read in a certain position is read by a reader that should not read this tag".The core of LV positioning logic is based on "picking out the required readout data from the spatial location and filtering out the unnecessary readout data". The result is that the correct and accurate tag position is extracted from the results obtained by all RFID readers. In short, LV positioning logic is a software algorithm based on eliminating "redundant" readout data according to the data set resident in the whole reader system. Colorwave algorithm gives a good solution to the conflict between multiple readers due to overlapping work ranges.For electronic tag collision, in the high frequency band, the classical ALOHA protocol is generally used as the tag anti-collision algorithm. The tag of ALOHA protocol is used to avoid conflict by selecting the method of transmitting information to the reader after a random time; In UHF band, tree bifurcation algorithm is mainly used to avoid conflict. In addition, other optimization settings can be made for the software. For example, in the e-ticket system, the scanning time interval of the reader can be designed by software to adaptively adjust the scanning time. In case of large traffic, the scanning frequency of the reader can be accelerated through software control to prevent missing reading; In the case of less traffic, the scanning frequency can be relatively reduced, so as to avoid the emergence of redundant data.4.3 play the role of MiddlewareRFID middleware is the nerve center in various RFID industrial applications. RFID middleware is a message oriented middleware (MOM). Information is transmitted from one program to another or more programs in the form of messages. RFID middleware plays an intermediary role between RFID tags and applications. From the application side, it uses a set of general application program interfaces (APIs) provided by the middleware, that is, it can connect to the reader and read tag data.Therefore, even if the database software or back-end application program storing RFID tag information is added or replaced by other software, or even the type of RFID reader is increased, the application end does not need to be modified. This not only effectively solves the problem of data reading rate, but also saves other problems such as the maintenance complexity of many to many connections. RFID middleware will have very good development prospects in service-oriented architecture (SOA) and business information security applications in the future.4.4 integration of other technologiesIntegration with sensor technologyIn the next few years, an important application trend of RFID is the equipment that combines RFID with sensors (such as sensors for measuring temperature and pressure). At present, it has been implemented abroad. Because RFID has poor anti-interference and the effective distance is generally less than 10m, its application is limited. Combining WSN (Wireless Sensor Network) with RFID and using the effective radius of the former up to 100m to form wsid network will greatly make up for the shortcomings of RFID system itself.Integration with WiMAX, 3G, GPS and other communication technologiesWiMax (global interoperability for microwave access) is simply defined as a wireless broadband data transmission system. The wireless service range of WiMAX can be as far as several kilometers under the condition of maintaining high data traffic in urban areas. Its performance far exceeds the existing wireless network technology. In directional communication connection, the service range can reach 50 km under the condition of maintaining certain data traffic. Due to its extremely high performance, WiMAX technology is considered to be the best backup scheme for DSL UMTS connection.The integration of WiMAX, 3G, GPS and RFID is moving forward with the active participation of all parties. RFID tag has the characteristics of small volume, large capacity, long service life and reusable. It can support fast reading and writing, non visual identification, mobile identification, multi-target identification, positioning and long-term tracking management. The cost saving and efficiency improvement promote RFID technology to become an important entry point for various industries to realize informatization. They will build a wireless broadband network that can meet the needs of a variety of application environments and generate rich applications, expanding the application field of RFID technology.Fusion with biometricsBiometric recognition technology is a solution to complete authentication by using automatic technology to measure their physical characteristics or personal behavior characteristics, and comparing these characteristics with the template data in the database. The biometric recognition system captures the samples of biometrics, and the unique features will be extracted and transformed into digital symbols, which are stored as personal feature templates. People interact with the identification system to authenticate their identity to determine whether they match or do not match. At present, the commonly used biometric recognition technologies include fingerprint, palmprint, face, voice, retina, signature recognition and so on.In short, the integration of RFID system with other technologies is imperative, and great achievements have been made. It solves the problem of low data reading rate of RFID system, which will inevitably make RFID technology widely used. Finally, it will go deep as bar code technology and slowly extend to all aspects of various industries, which plays a key role in improving operation efficiency and economic benefits of the industry, so as to promote a new leap in the global economy and have a far-reaching impact on human society.5 ConclusionOn the whole, the development of RFID system will be better and better in the future. Although there are still some technical and application problems such as low reading rate, we believe that it is not difficult to overcome the current problems of RFID through a series of measures such as optimizing hardware configuration, improving software design, playing the role of middleware and integrating other technologies. Under the strong market orientation, RFID technology will cause a major change all over the world. It will become a new economic growth point in the future, and will eventually become the largest information technology support for the development direction of Chinese enterprises. It can be predicted that in the near future, as a global manufacturing base, China will be the world's largest RFID application market in the future. This will be a rare opportunity for domestic scientific research institutions and enterprises.
This paper will analyze the RFID system by introducing the basic composition and working principle of the RFID system. Combined with the problems encountered in the practical application of RFID system and the reasons for the low reading rate of the system due to the blind area in the reading range of readers, redundant data in different reading points, mutual interference of readers and other factors, this paper puts forward from the following aspects: reasonably optimizing the hardware configuration, perfecting the software design Play the role of middleware and integrate other technologies to improve the data reading rate of RFID system.2. Basic composition of RFID systemRFID system at least consists of electronic tag (e-tag / transponder, also known as smart tag) and reader (reader / interleaver, also known as reader / writer).Electronic tag is the data carrier of RFID system. Electronic tag is composed of tag antenna and tag special chip. Electronic tags are divided into active tag, passive tag and semi passive tag according to different power supply modes; It can be divided into low-frequency electronic tag, high-frequency electronic tag, UHF electronic tag and microwave electronic tag according to different frequencies; It is divided into * label, linear label, paper label, glass tube label, circular label and special-purpose special-shaped label according to different packaging forms; According to their different working modes, they are divided into active tags and passive tags.Reader is a device used to read or write electronic tag information. It can be designed into many kinds of products according to specific use environment and requirements. The reader communicates with the electronic tag wirelessly through the antenna, which can read or write the electronic tag identification code and memory data.A typical reader consists of a high frequency module (transmitter and receiver), a control unit, and a reader antenna. Of course, RFID system needs the support of computer and other hardware equipment and software in practical application. Figure 1 shows the composition of a typical RFID system.3 basic model of RFID systemThe basic model of RFID system is shown in Figure 2. As the radio frequency carrier, the electronic tag and the reader realize the spatial (contactless) coupling of the radio frequency signal through the coupling element. In the coupling channel, the energy transmission and data exchange are realized according to the timing relationship.Discussion on reading rate of RFID systemThrough the introduction of RFID system, we believe that the main reasons for the low reading rate of RFID system are: there are blind areas in the reading range of readers, redundant data in different reading points, mutual interference of readers, etc. In view of the above problems, we discuss them from the following four aspects.
4.1 reasonably optimize hardware configurationIn terms of hardware, we must first clarify a problem. That's what you really need. Don't blindly think that "the price is expensive, the larger the reading range and the higher the frequency, the better". It is the so-called "tailor-made" that "what suits you" is the best. Based on this understanding, you can choose hardware devices that meet the actual needs.At the same time, consider all RFID tags and readers as a complete "data network", so as to reasonably optimize the hardware configuration, so as to maximize the efficiency of the whole system. Taking the access control system as an example, in order to prevent the blind area in the reading range of the reader, resulting in missing reading, the number of readers or antennas can be increased to compensate for the defect of blind area in the reading range of the reader; In order to prevent mutual interference between readers, the method of relatively isolating readers or antennas in space can be adopted to avoid mutual interference. In addition, according to the actual needs, the data reading rate of RFID system can also be improved by properly adjusting the antenna layout and antenna transmission power.4.2 improve software designAt present, the hardware facilities of the optimized RFID system can basically meet the needs of data reading rate. With the decline of reader price, end users can easily deploy a large number of readers in their application sites, which not only solves the problem of missing reading, but also obtains more useful information from these systems. But the new problem is: redundant data reading or cross data reading. A simple description of this problem is that "a tag that should not be read in a certain position is read by a reader that should not read this tag".The core of LV positioning logic is based on "picking out the required readout data from the spatial location and filtering out the unnecessary readout data". The result is that the correct and accurate tag position is extracted from the results obtained by all RFID readers. In short, LV positioning logic is a software algorithm based on eliminating "redundant" readout data according to the data set resident in the whole reader system. Colorwave algorithm gives a good solution to the conflict between multiple readers due to overlapping work ranges.For electronic tag collision, in the high frequency band, the classical ALOHA protocol is generally used as the tag anti-collision algorithm. The tag of ALOHA protocol is used to avoid conflict by selecting the method of transmitting information to the reader after a random time; In UHF band, tree bifurcation algorithm is mainly used to avoid conflict. In addition, other optimization settings can be made for the software. For example, in the e-ticket system, the scanning time interval of the reader can be designed by software to adaptively adjust the scanning time. In case of large traffic, the scanning frequency of the reader can be accelerated through software control to prevent missing reading; In the case of less traffic, the scanning frequency can be relatively reduced, so as to avoid the emergence of redundant data.4.3 play the role of MiddlewareRFID middleware is the nerve center in various RFID industrial applications. RFID middleware is a message oriented middleware (MOM). Information is transmitted from one program to another or more programs in the form of messages. RFID middleware plays an intermediary role between RFID tags and applications. From the application side, it uses a set of general application program interfaces (APIs) provided by the middleware, that is, it can connect to the reader and read tag data.Therefore, even if the database software or back-end application program storing RFID tag information is added or replaced by other software, or even the type of RFID reader is increased, the application end does not need to be modified. This not only effectively solves the problem of data reading rate, but also saves other problems such as the maintenance complexity of many to many connections. RFID middleware will have very good development prospects in service-oriented architecture (SOA) and business information security applications in the future.4.4 integration of other technologiesIntegration with sensor technologyIn the next few years, an important application trend of RFID is the equipment that combines RFID with sensors (such as sensors for measuring temperature and pressure). At present, it has been implemented abroad. Because RFID has poor anti-interference and the effective distance is generally less than 10m, its application is limited. Combining WSN (Wireless Sensor Network) with RFID and using the effective radius of the former up to 100m to form wsid network will greatly make up for the shortcomings of RFID system itself.Integration with WiMAX, 3G, GPS and other communication technologiesWiMax (global interoperability for microwave access) is simply defined as a wireless broadband data transmission system. The wireless service range of WiMAX can be as far as several kilometers under the condition of maintaining high data traffic in urban areas. Its performance far exceeds the existing wireless network technology. In directional communication connection, the service range can reach 50 km under the condition of maintaining certain data traffic. Due to its extremely high performance, WiMAX technology is considered to be the best backup scheme for DSL UMTS connection.The integration of WiMAX, 3G, GPS and RFID is moving forward with the active participation of all parties. RFID tag has the characteristics of small volume, large capacity, long service life and reusable. It can support fast reading and writing, non visual identification, mobile identification, multi-target identification, positioning and long-term tracking management. The cost saving and efficiency improvement promote RFID technology to become an important entry point for various industries to realize informatization. They will build a wireless broadband network that can meet the needs of a variety of application environments and generate rich applications, expanding the application field of RFID technology.Fusion with biometricsBiometric recognition technology is a solution to complete authentication by using automatic technology to measure their physical characteristics or personal behavior characteristics, and comparing these characteristics with the template data in the database. The biometric recognition system captures the samples of biometrics, and the unique features will be extracted and transformed into digital symbols, which are stored as personal feature templates. People interact with the identification system to authenticate their identity to determine whether they match or do not match. At present, the commonly used biometric recognition technologies include fingerprint, palmprint, face, voice, retina, signature recognition and so on.In short, the integration of RFID system with other technologies is imperative, and great achievements have been made. It solves the problem of low data reading rate of RFID system, which will inevitably make RFID technology widely used. Finally, it will go deep as bar code technology and slowly extend to all aspects of various industries, which plays a key role in improving operation efficiency and economic benefits of the industry, so as to promote a new leap in the global economy and have a far-reaching impact on human society.5 ConclusionOn the whole, the development of RFID system will be better and better in the future. Although there are still some technical and application problems such as low reading rate, we believe that it is not difficult to overcome the current problems of RFID through a series of measures such as optimizing hardware configuration, improving software design, playing the role of middleware and integrating other technologies. Under the strong market orientation, RFID technology will cause a major change all over the world. It will become a new economic growth point in the future, and will eventually become the largest information technology support for the development direction of Chinese enterprises. It can be predicted that in the near future, as a global manufacturing base, China will be the world's largest RFID application market in the future. This will be a rare opportunity for domestic scientific research institutions and enterprises.
The challenge for companies committed to developing medical diagnostic equipment is to provide consumers with high-quality and low-cost products. In terms of reducing medical costs and improving patient care services, the most important thing is to reduce the volume and improve the accuracy of these medical devices. In today's increasingly serious problem of population aging, the above needs are more urgent. According to the imdica report of IMS research company, the total sales of consumer medical devices are expected to exceed US $5 billion by 2011.
With the development and continuous improvement of the monitoring function of medical equipment, telemedicine providers can provide better diagnostic tools for home patients, emergency room paramedics and hospitals in several important areas of human health. Sphygmomanometers, blood glucose meters, defibrillators and other monitoring instruments need clear analog signals for accurate measurement, otherwise they may be life-threatening. The excellent design of analog signal path can help designers reduce the interference of external noise, expand the dynamic range and enhance the accuracy. In addition, in terms of component selection, designers must also choose carefully to meet the performance requirements of the final product.
High performance requirements in small packages
Previously, it was generally believed that medical equipment in hospitals and clinics was more accurate than portable instruments used at home. However, new technological trends are rapidly reversing this view. The users of the new portable medical devices are not only ordinary consumers, but also patients with deep scientific and technological understanding. Therefore, the needs of customers are no longer limited to taking body temperature, ECG and blood pressure. What customers need is a full range of nursing and measurement functions.
In order to meet people's urgent demand for home medical diagnostic instruments, equipment suppliers are relying on advanced inventory management and innovative design to enhance market competitiveness, and equip products with more functions to win more users. In the field of developing home medical instruments, one factor is very important, which is the development time required from the initial design to the real launch of the product. Shortening the time to market can enable manufacturers' products to seize the market. Whether the development cycle can be shortened depends on whether the design of system designers is flexible and cost-effective.
Process technology affects system design
Although electrical specifications are the main factor for designers to select components, the process used to manufacture integrated circuits is also important. For example, a typical blood glucose meter usually needs to be equipped with an operational amplifier with very low input bias current. Most designers will choose JFET amplifier. However, they should consider the temperature before making a decision.
Because JFET has a very low initial input bias, it is vulnerable to temperature changes. For every 10 C rise, the input bias will approximately double. To calculate the drift of the input bias, use the following formula (reference 1).
Ib(T)Ib(T0) x 2(T-T0)/10
For example, a JFET Input Operational Amplifier (such as National Semiconductor's lf411) has an input bias current of 50pA at 25 C, while a better option is National Semiconductor's lmp7731, which is a bipolar input operational amplifier with an input bias current of 1.5na. Through the above formula, we can quickly calculate that the input bias current of lf411 becomes 3.2na at 85 C, which is twice that of lmp7731.
Trade off of evaluation system
Speed, noise and power consumption may be equally important for some designs. A low-noise device will consume more current, while a low-power device can only provide limited bandwidth. One way to overcome these problems is to use inverse compensation amplifiers in appropriate applications. Compared with the stable unit gain and high speed, the advantage of the anti compensation amplifier is that it can provide a large bandwidth without affecting the power consumption.
Inverse compensation operational amplifier is most suitable for current voltage conversion (transimpedance) circuit. In medical instruments, one of the most common applications is to measure the oxygen content in blood cells, which is called SpO2 or saturated or peripheral oxygen. Figure 1 shows the block diagram of SpO2 module, in which the anti compensation amplifier (TIA) is used to convert the current from the photodiode into voltage.
Figure 1 typical block diagram of SpO2 module
Use shortcuts to shorten design time
The most important parameter of medical instruments is noise, which can cause serious interference to the circuit itself and nearby equipment. Calculating noise is a tedious task, especially when you want to calculate the overall impact of signal path on signal-to-noise ratio from power supply, amplifier, data converter and external components.
Generally speaking, medical instrument circuits tend to work at a lower frequency, so the designers of these systems usually pay more attention to the noise in the frequency band of 0.1 to 10Hz, also known as peak to peak noise. Unfortunately, some data sheets do not provide time domain noise (peak to peak) values, but only typical charts of voltage or current noise density. In addition to waiting for the circuit supplier to provide measurement data, there is a fast method to help calculate the peak to peak noise.
Suppose you intend to use lmp7731 of national semiconductor to calculate the noise of peak to peak (0.1 to 10Hz) voltage. First, select a point in the frequency range within the specified frequency band, such as 1Hz, and the value in the comparison curve is 5.1nv / Hz (Fig. 2). Then use the following formula to calculate the root mean square value (RMS) of noise: Formula 1: ENRMS = "enf" ln (10 / 0.1), Where enf is the noise at 1Hz. The total root mean square noise of 10.9nv can be obtained through the above formula. If you want to calculate the peak to peak noise, you only need to multiply this root mean square value by 6.6 to obtain 72.2nv. The result of this estimation is quite good, which is close to the specification 78nv listed in the data sheet.
Fig. 2 Relationship between input voltage noise and frequency of lmp7731 frequency and voltage noise
If the voltage noise density diagram in the data sheet does not represent the noise value at 1Hz, you can use the following simple equation (equation 2) to calculate the value at a certain frequency.
Where ENB is broadband noise (usually the value at 1kHz), and FCE is the 1 / F inflection point. As for F is the frequency of interest, in our case, it is 1Hz.
For example, the broadband noise of lmv851 of national semiconductor is 10nv / Hz at 10kHz. In order to calculate the root mean square noise, first determine the value of 1 / F inflection point (FCE) from the chart. Using the voltage noise density diagram in the data sheet, it can be found that FCE is approximately equal to 300Hz. Then, using the above formula, we can calculate en = 10 * (300 / 1) = 173nv Hz, which is the voltage noise at 1Hz. Finally, substitute this value into Formula 1 and multiply the result by 6.6 to get 2.4 Peak to peak noise of V.
Another consideration is current noise. Generally speaking, if the impedance of the power supply is not very large (> 100k ), you can still get a very close calculation result without considering the current noise, just like the above example. However, if the impedance of the power supply is large, the same technique must be used to calculate the current noise, and the voltage and current noise must be added in the form of root mean square value.
Requirements for determining speed
Just as the noise of operational amplifier is very important to the resolution of ADC, so is the bandwidth to maintain the accuracy of the system. In order to limit the error to 1 / 2 least significant bit (LSB), a fast check is needed to determine whether the bandwidth of the amplifier is sufficient. In addition to using complex and generic guidance, you can also use the resolution of the analog / digital converter to quickly calculate the results. The method is to use 1 / 2 (n / 2) and multiply the result by the amplifier frequency at - 3dB (reference 2).
Through the above shortcut and a 14 bit ADC, FEFF = 0.007813 * f-3db is obtained in this example. For the operational amplifier (LMP7711) with configurable gain of 10 in Fig. 3, the frequency at - 3dB is 1.7MHz. In this way, the maximum bandwidth (at 1 / 2 LSB error) is equal to 0.007813 * 1.7e6 = 13.3khz.
Fig. 3 block diagram of portable electrocardiograph
Monitor device and communication device
Most of the newer medical diagnostic instruments are equipped with wireless communication function. Modern electrocardiograph (EKG or ECG) can transmit patient data to doctor's clinic or hospital in a few minutes through personal electronic manual account (PDA) or other computer peripherals. Despite the benefits of wireless data transmission, such devices may cause serious interference to medical devices and make their readings wrong.
In order to avoid this interference, a filter must be used. However, adding filters will not only increase the volume of the equipment, but also increase the design cost. A more cost-effective and fast way is to use components (including filters) that can suppress radio frequency (RF) noise.
epilogue
Nowadays, the trend in the field of medical equipment is to provide consumers with higher value products, that is, home care instruments that are cheap and high-quality and can quickly provide diagnostic results. With the continuous progress of technology, more and more medical devices will transmit data from patients' homes to doctors' clinics in real time through computers. In addition, with the demand of users for more functions, the accuracy requirements for portable medical devices will be further improved to achieve more accurate diagnosis, which will rely on the continuous innovation, long-term development and commitment to comprehensive solutions made by designers.
With the development and continuous improvement of the monitoring function of medical equipment, telemedicine providers can provide better diagnostic tools for home patients, emergency room paramedics and hospitals in several important areas of human health. Sphygmomanometers, blood glucose meters, defibrillators and other monitoring instruments need clear analog signals for accurate measurement, otherwise they may be life-threatening. The excellent design of analog signal path can help designers reduce the interference of external noise, expand the dynamic range and enhance the accuracy. In addition, in terms of component selection, designers must also choose carefully to meet the performance requirements of the final product.
High performance requirements in small packages
Previously, it was generally believed that medical equipment in hospitals and clinics was more accurate than portable instruments used at home. However, new technological trends are rapidly reversing this view. The users of the new portable medical devices are not only ordinary consumers, but also patients with deep scientific and technological understanding. Therefore, the needs of customers are no longer limited to taking body temperature, ECG and blood pressure. What customers need is a full range of nursing and measurement functions.
In order to meet people's urgent demand for home medical diagnostic instruments, equipment suppliers are relying on advanced inventory management and innovative design to enhance market competitiveness, and equip products with more functions to win more users. In the field of developing home medical instruments, one factor is very important, which is the development time required from the initial design to the real launch of the product. Shortening the time to market can enable manufacturers' products to seize the market. Whether the development cycle can be shortened depends on whether the design of system designers is flexible and cost-effective.
Process technology affects system design
Although electrical specifications are the main factor for designers to select components, the process used to manufacture integrated circuits is also important. For example, a typical blood glucose meter usually needs to be equipped with an operational amplifier with very low input bias current. Most designers will choose JFET amplifier. However, they should consider the temperature before making a decision.
Because JFET has a very low initial input bias, it is vulnerable to temperature changes. For every 10 C rise, the input bias will approximately double. To calculate the drift of the input bias, use the following formula (reference 1).
Ib(T)Ib(T0) x 2(T-T0)/10
For example, a JFET Input Operational Amplifier (such as National Semiconductor's lf411) has an input bias current of 50pA at 25 C, while a better option is National Semiconductor's lmp7731, which is a bipolar input operational amplifier with an input bias current of 1.5na. Through the above formula, we can quickly calculate that the input bias current of lf411 becomes 3.2na at 85 C, which is twice that of lmp7731.
Trade off of evaluation system
Speed, noise and power consumption may be equally important for some designs. A low-noise device will consume more current, while a low-power device can only provide limited bandwidth. One way to overcome these problems is to use inverse compensation amplifiers in appropriate applications. Compared with the stable unit gain and high speed, the advantage of the anti compensation amplifier is that it can provide a large bandwidth without affecting the power consumption.
Inverse compensation operational amplifier is most suitable for current voltage conversion (transimpedance) circuit. In medical instruments, one of the most common applications is to measure the oxygen content in blood cells, which is called SpO2 or saturated or peripheral oxygen. Figure 1 shows the block diagram of SpO2 module, in which the anti compensation amplifier (TIA) is used to convert the current from the photodiode into voltage.
Figure 1 typical block diagram of SpO2 module
Use shortcuts to shorten design time
The most important parameter of medical instruments is noise, which can cause serious interference to the circuit itself and nearby equipment. Calculating noise is a tedious task, especially when you want to calculate the overall impact of signal path on signal-to-noise ratio from power supply, amplifier, data converter and external components.
Generally speaking, medical instrument circuits tend to work at a lower frequency, so the designers of these systems usually pay more attention to the noise in the frequency band of 0.1 to 10Hz, also known as peak to peak noise. Unfortunately, some data sheets do not provide time domain noise (peak to peak) values, but only typical charts of voltage or current noise density. In addition to waiting for the circuit supplier to provide measurement data, there is a fast method to help calculate the peak to peak noise.
Suppose you intend to use lmp7731 of national semiconductor to calculate the noise of peak to peak (0.1 to 10Hz) voltage. First, select a point in the frequency range within the specified frequency band, such as 1Hz, and the value in the comparison curve is 5.1nv / Hz (Fig. 2). Then use the following formula to calculate the root mean square value (RMS) of noise: Formula 1: ENRMS = "enf" ln (10 / 0.1), Where enf is the noise at 1Hz. The total root mean square noise of 10.9nv can be obtained through the above formula. If you want to calculate the peak to peak noise, you only need to multiply this root mean square value by 6.6 to obtain 72.2nv. The result of this estimation is quite good, which is close to the specification 78nv listed in the data sheet.
Fig. 2 Relationship between input voltage noise and frequency of lmp7731 frequency and voltage noise
If the voltage noise density diagram in the data sheet does not represent the noise value at 1Hz, you can use the following simple equation (equation 2) to calculate the value at a certain frequency.
Where ENB is broadband noise (usually the value at 1kHz), and FCE is the 1 / F inflection point. As for F is the frequency of interest, in our case, it is 1Hz.
For example, the broadband noise of lmv851 of national semiconductor is 10nv / Hz at 10kHz. In order to calculate the root mean square noise, first determine the value of 1 / F inflection point (FCE) from the chart. Using the voltage noise density diagram in the data sheet, it can be found that FCE is approximately equal to 300Hz. Then, using the above formula, we can calculate en = 10 * (300 / 1) = 173nv Hz, which is the voltage noise at 1Hz. Finally, substitute this value into Formula 1 and multiply the result by 6.6 to get 2.4 Peak to peak noise of V.
Another consideration is current noise. Generally speaking, if the impedance of the power supply is not very large (> 100k ), you can still get a very close calculation result without considering the current noise, just like the above example. However, if the impedance of the power supply is large, the same technique must be used to calculate the current noise, and the voltage and current noise must be added in the form of root mean square value.
Requirements for determining speed
Just as the noise of operational amplifier is very important to the resolution of ADC, so is the bandwidth to maintain the accuracy of the system. In order to limit the error to 1 / 2 least significant bit (LSB), a fast check is needed to determine whether the bandwidth of the amplifier is sufficient. In addition to using complex and generic guidance, you can also use the resolution of the analog / digital converter to quickly calculate the results. The method is to use 1 / 2 (n / 2) and multiply the result by the amplifier frequency at - 3dB (reference 2).
Through the above shortcut and a 14 bit ADC, FEFF = 0.007813 * f-3db is obtained in this example. For the operational amplifier (LMP7711) with configurable gain of 10 in Fig. 3, the frequency at - 3dB is 1.7MHz. In this way, the maximum bandwidth (at 1 / 2 LSB error) is equal to 0.007813 * 1.7e6 = 13.3khz.
Fig. 3 block diagram of portable electrocardiograph
Monitor device and communication device
Most of the newer medical diagnostic instruments are equipped with wireless communication function. Modern electrocardiograph (EKG or ECG) can transmit patient data to doctor's clinic or hospital in a few minutes through personal electronic manual account (PDA) or other computer peripherals. Despite the benefits of wireless data transmission, such devices may cause serious interference to medical devices and make their readings wrong.
In order to avoid this interference, a filter must be used. However, adding filters will not only increase the volume of the equipment, but also increase the design cost. A more cost-effective and fast way is to use components (including filters) that can suppress radio frequency (RF) noise.
epilogue
Nowadays, the trend in the field of medical equipment is to provide consumers with higher value products, that is, home care instruments that are cheap and high-quality and can quickly provide diagnostic results. With the continuous progress of technology, more and more medical devices will transmit data from patients' homes to doctors' clinics in real time through computers. In addition, with the demand of users for more functions, the accuracy requirements for portable medical devices will be further improved to achieve more accurate diagnosis, which will rely on the continuous innovation, long-term development and commitment to comprehensive solutions made by designers.
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