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 system
The 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 Conclusion
On 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.

The emergence of portable medical devices has filled the shortcomings of difficult and annoying medical treatment in China. People can diagnose themselves at home, eliminating the necessity of going to the hospital and reducing hospitalization. At the same time, it can also reduce medical costs
At the same time, portable medical equipment can monitor vital signs before sending patients to the hospital, make the heart pacing again, and use ultrasound to check the internal situation of the body. Its goal is to contribute to the development of easy-to-use and interoperable home medical devices, and provide diagnostic data so that patients can obtain insurance compensation, etc
Let's analyze the mechanism and characteristics of portable medical devices, peel them layer by layer, and slowly "sting" our eyes
Block diagram of portable medical equipment:
Jn5148 - ultra low power consumption, high performance 32-bit MCU combined with IEEE802.15.4 compliant transceiver, supporting ZigBee & Jennet
For low-power wireless network applications, it has an enhanced 32-bit RISC processor to achieve high coding efficiency through variable width instructions; A multi-level instruction pipeline realizes low-power operation through programmable clock speed and various sleep modes. The device includes 128 KB ROM, 128 KB ram and various combinations of analog and digital peripherals. At the same time, the working current is less than 18 Ma, allowing it to work directly through the button battery... It is also extremely suitable for ZigBee Pro Network and intelligent metering
Advantages and features:
1. First class radio current consumption and a wide range of user peripherals
2. Adopt multi-functional 32-bit RISC CPU to realize high performance and low power consumption, and can run applications and ZigBee pro at the same time
3. The system BOM has few components, low cost and very low current, which can realize the solution of ultra long battery life
It can compensate for various changes, such as the change of humidity or pollution degree on the electrode. At the same time, it can detect the change of capacitance on the remote sensing board, so as to realize close operation without contact.
Pca8885ts - 8-channel capacitive touch and proximity sensor with automatic calibration and very low power consumption.
An 8-channel capacitive touch and proximity sensor detects capacitance changes on the remote sensing panel using the patented (edisen) method. The change of static capacitance is automatically compensated by continuous automatic calibration. The remote sensing panel can be connected to the IC through coaxial cable. 8 input channels work independently of each other. The sensors can also be arranged in a matrix through built-in options: interruption occurs only when two channels are activated at the same time, so as to prevent redundant channel output when both channels have been activated
Advantages and features:
1. Support matrix array sensor and remote connection of sensing plate
2. Adjustable response time and sensitivity (continuous automatic calibration, digital processing method, can be used with plexiglass with a maximum thickness of 6 mm)
3. Direct and latch switch mode, I C ultra fast mode (FM ) compatible interface
Pcf85063a - micro encapsulated real-time clock / calendar with alarm function and SPI bus
A CMOS real-time clock (RTC) and calendar, most suitable for low-power applications. The offset register allows fine adjustment of the clock. All addresses and data can be bi-directional I through two lines C bus serial transmission. The maximum data rate is 400 kbit / s. The register address will be automatically incremented after each write or read of data bytes... It is also suitable for various digital products and mobile devices
Advantages and features:
1. 400 kHz double line I Programmable clock output of C bus interface and peripheral devices
2. Alarm function, countdown timer, minute and half minute interrupt
3. Internal power on reset (POR), programmable offset register for frequency adjustment
Accurate and reliable, long-term stability, positive temperature coefficient and fault protection characteristics
PCT2075-I C bus FM , accuracy 1 , digital temperature sensor and temperature monitor
The accuracy is 1 C in the temperature range of 25 C to 100 C. Provide over temperature detection output and integrate a series of data registers: configuration register for memory device setting; A temperature register for storing digital temperature readings; Set point register for storing programmable over temperature shutdown and hysteresis limits and programmable temperature sensor sampling time tidle, which can be accessed through two-wire serial I The bus ultra fast mode (FM ) interface communicates with the controller
Advantages and features:
1. 1 MHz ultra fast mode (FM ) 30 Ma SDA driver can connect more devices on one bus, and is downward compatible with fast mode and standard mode
2. It has programmable temperature threshold and hysteresis set point during operation, and the power supply current is less than 1.0 in off mode A. It can save electric energy
3. When powered on, it can be used alone as a thermostat, an 11 bit ADC with a temperature resolution of 0.125 C
Pca6408a - low voltage, 8-bit I with interrupt output, reset and configuration registers C bus and SMBus I / O extender
Pass I C bus interface provides remote I / O expansion for most microcontroller series. When additional I / O is required while minimizing interconnection, NXP I / O expander provides a simple solution and has built-in level switching function, which makes these devices extremely flexible in a mixed signal environment where incompatible I / O voltages need to communicate
Advantages and features:
1. The latch output has a maximum driving capacity of 25 mA, which is used to directly drive the LED
2. Schmidt trigger operation allows slow input transition on SCL and SDA inputs and brings better switching noise immunity
3. When powered on, make all channels configured as input without pulse interference
Tfa9881uk - 3.4 w PDM input class D audio amplifier
Using 9 bumps WLCSP (wafer level chip package), with 400 M to receive audio and control settings through this interface. The dedicated silent mode is used to configure the control settings of the device, turn off the transition to the working mode, and trigger when the clock signal is detected... It is also extremely suitable for portable navigation devices, mobile phones and computers
Advantages and features:
1. The second-order closed-loop structure provides excellent audio performance and high supply voltage ripple suppression
2. It can completely prevent short circuit at both ends of the load and short circuit with the power line
3. Current limit that can avoid sound leakage, thermal protection function, undervoltage and overvoltage protection
2n7002bk - 60 V, 350 Ma n-channel trench MOSFET
N-channel enhanced field effect transistor (FET) is packaged with small SOT23 (to-236ab) surface mount device (SMD) with MOSFET technology. It has ESD protection up to 2 kV, compatible logic level and very fast switching. At the same time, it is especially suitable for: high-speed line driver and on-off circuit
Discrete semiconductor, DC / DC converter, LDOS
Ip3319cx6 - single channel common mode filter with integrated ESD protection network
Logic gate, data selector, GPIO, analog switch, LED controller, LCD driver, LED diode
Bza408b - Quadruple bidirectional ESD transient voltage suppressor
Today, many consumer medical devices simply display health monitoring results, leaving interpretation and recording to end users and their doctors. The new equipment can automatically record and transmit results through network connection.
At the same time, medical devices that help consumers have the following characteristics: simple and easy to use, highly reliable, safe, convenient connection, low power consumption (long battery life), support for a variety of voltages (especially low voltage), high measurement accuracy, small size, high cost performance
With so many advantages, so broad prospects and so practical performance, I believe no one can resist the naked Temptation
Do not forget the original heart, we can always... If you have thoughts, there will be repercussions

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.

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 system
The 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 Conclusion
On 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.