CN202776280U - Wearable rescue personnel physiological characteristic dynamic monitoring device and rescue personnel physiological characteristic dynamic monitoring system - Google Patents

Abstract

The utility model relates to a wearable dynamic monitoring device and system for the physiological characteristics of rescuers. The dynamic monitoring device includes: a wearable part that can be worn by the tester; and a signal acquisition part installed on the wearable part, the signal collection part includes a physiological characteristic measurement unit, a motion state measurement unit, a communication interface, a microprocessor and an electric energy supply unit ; The physiological characteristic measurement unit, the exercise state measurement unit, and the communication interface are respectively connected to the microprocessor signal, and the power supply unit provides the required power. The dynamic monitoring system also includes a communication unit, which communicates with the wearable dynamic monitoring equipment for the physiological characteristics of rescuers; and a command center server, which is wirelessly connected with the communication unit. The wearable dynamic monitoring device and system for the physiological characteristics of rescuers of the utility model are convenient to use and accurate in monitoring.

Description

Wearable physiological characteristics dynamic monitoring equipment and system for rescuers

technical field

The utility model relates to the field of physiological signal collection and monitoring, in particular to a dynamic monitoring device and system for physiological characteristics of rescuers. the

Background technique

At the scene of dangerous chemical leakage, in order to ensure the life and health of rescuers and the smooth progress of rescue work, it is necessary to monitor the vital signs of rescuers in real time, so as to detect dangerous situations such as poisoning and fatigue in time, and take measures such as alarm and evacuation . the

"Dynamic monitoring system for physiological characteristics of rescuers" refers to a system that collects, processes and monitors physiological signals and other information of rescuers at the rescue site anytime and anywhere. From the perspective of the application environment of the system, the challenges faced by the dynamic monitoring system for the physiological characteristics of rescuers include: 1) The monitored objects in the monitoring system are not static, but may be performing various activities, which will give many Acquisition of physiological parameters has a great impact, namely the introduction of motion artifacts and noise. 2) The monitoring system should have as little impact on the life of the individual as possible, which imposes great constraints on the size, weight, and wearing method of the sensing node. In addition, the system should not restrict the range of activities of the individual. 3) The environment where the monitoring system is located is a variety of complex living and working sites. The environment brings many uncertain factors to data collection and transmission. In addition to various factors that may interfere with equipment work and communication, it also brings very There are many "scenarios" that trigger physiological responses that need to be recorded and observed. the

Contents of the invention

In view of the above-mentioned defects in the prior art, the purpose of the present invention is to provide a wearable dynamic monitoring device, system and method for the physiological characteristics of rescuers that is easy to use and accurate in monitoring. the

In order to achieve the above object, a wearable rescuer physiological characteristic dynamic monitoring device proposed according to the utility model includes: a wearable piece that can be worn by the tester; and a signal acquisition unit installed on the wearable piece, the signal acquisition unit includes Physiological characteristic measurement unit, exercise state measurement unit, communication interface, microprocessor and electric energy supply unit; The physiological characteristic measurement unit, exercise state measurement unit, communication interface are connected with microprocessor signal respectively, and this electric energy supply unit provides required electric energy . the

The utility model can also be further realized by adopting the following technical measures. the

The aforesaid wearable dynamic monitoring equipment for the physiological characteristics of rescuers is described herein. the

The aforementioned dynamic monitoring device for physiological characteristics, wherein the physiological characteristic measurement unit includes electrocardiogram and respiration measurement components, body temperature measurement components and blood pressure measurement components; the physiological characteristic measurement unit is connected with the microprocessor signal, and the measured physiological characteristic signal passed to the microprocessor. the

The aforementioned dynamic monitoring device for physiological characteristics, wherein the electrocardiogram and respiration measurement component includes an electrocardiogram and respiration front-end chip and three electrodes connected with the front-end chip. the

The aforementioned dynamic monitoring device for physiological characteristics, wherein the body temperature measurement component includes a platinum resistance temperature sensor, a signal adjustment electrically connected to the platinum resistance temperature sensor, and a resistance measurement circuit. the

The aforementioned dynamic monitoring device for physiological characteristics, wherein the blood pressure measurement component includes a probe with pulse wave photoelectric tracing and a back-end signal conditioning circuit connected thereto. the

The aforementioned dynamic monitoring device for physiological characteristics, wherein the movement state measuring unit is an acceleration sensor. the

The utility model also proposes a dynamic monitoring system for the physiological characteristics of rescuers, which includes:

As mentioned above, the wearable rescuer's physiological characteristics dynamic monitoring device; the communication unit communicates with the wearable rescuer's physiological characteristic dynamic monitoring device; and the command center server wirelessly connects with the communication unit; wherein, the wearable rescuer's physiological The characteristic dynamic monitoring equipment monitors the rescuer's physiological characteristic signal and motion state signal in real time; the communication unit transmits the data monitored by the wearable rescuer's physiological characteristic dynamic monitoring device to the command center server; the command center server receives the data and The state signal judges whether the physiological characteristic signal is abnormal. the

The utility model can also be further realized by adopting the following technical measures. the

In the aforementioned dynamic monitoring system for the physiological characteristics of rescuers, the communication unit is a mobile phone. the

In the aforementioned dynamic monitoring system for physiological characteristics of rescuers, the command center server is a computer with a network connection. the

The utility model also proposes a method for monitoring the heart rate of the rescuer by using the aforementioned dynamic monitoring system for the physiological characteristics of the rescuer, including the following steps: Step S1, obtaining the heart rate parameters of the rescuer at different exercise intensities, and storing them in the command center server; Step S2, setting the threshold of the heart rate parameter; Step S3, monitoring the exercise intensity signal and the electrocardiogram signal of the rescuer; and Step S4, comparing the monitored heart rate with the heart rate parameter threshold. the

The utility model can also be further realized by adopting the following technical measures. the

The aforementioned method for monitoring the heart rate of rescuers, wherein the comparing the monitored heart rate with the heart rate parameter threshold includes first judging the exercise intensity according to the monitored exercise intensity information, and calling the corresponding information stored in the command center server. heart rate characteristic information of exercise intensity, and then compare the monitored heart rate with the heart rate characteristic information. the

The utility model wearable dynamic monitoring equipment for physiological characteristics of rescuers is suitable for dangerous chemical accident sites, and can quickly collect and analyze human physiological characteristics, position and movement data. The equipment can be directly worn inside the chemical protective clothing, which is convenient for rescuers to put on and take off. The dynamic monitoring system for the physiological characteristics of rescuers of the utility model can detect, fuse and analyze the physiological, position and motion data of rescuers in a real-time, dynamic and intelligent manner. The collected information includes electrocardiogram, respiration, body temperature, pulse volume rate, and acceleration signal. At the same time, a smartphone is used as a terminal to collect GPS positioning information. the

Compared with the prior art, the utility model has obvious advantages and beneficial effects. By virtue of the above-mentioned technical scheme, the wearable rescuer physiological characteristics dynamic monitoring equipment, system and method of the utility model are easy to use and accurate in monitoring.

Description of drawings

Fig. 1 is a schematic diagram of a dynamic monitoring system for physiological characteristics of rescuers of the present invention. the

Fig. 2 is a structural schematic diagram of the utility model dynamic monitoring equipment for physiological characteristics of rescuers. the

Fig. 3 is a schematic block diagram of the utility model dynamic monitoring equipment for physiological characteristics of rescuers. the

Detailed ways

In order to further explain the technical means and effects of the utility model to achieve the intended purpose of the invention, the specific implementation methods, steps, The structure, characteristics and functions are described in detail. the

Please refer to Fig. 1 to Fig. 3, which are the schematic diagram of the dynamic monitoring system for the physiological characteristics of rescuers, the structural diagram of the dynamic monitoring equipment for physiological characteristics of rescuers, and the block diagram of the dynamic monitoring equipment for physiological characteristics of rescuers according to the present invention. The system for dynamic monitoring of physiological characteristics of rescuers in a preferred embodiment of the utility model includes a wearable signal acquisition device 100 , a communication unit 200 , and a command center server 300 . the

The wearable signal collection device 100 collects the testee's physiological characteristic signals and the testee's motion signals in real time, and transmits them to the near-end communication unit 200 (or gateway). the

The communication unit 200 receives the data from the wearable signal collection device 100 , preprocesses the data, and sends the data to the command center server 300 in a wireless manner (such as WIFI or 2G, 3G network). In this embodiment, the communication unit 200 is a smart phone, which also has a GPS module that can collect the position information of the person under test, and send it to the command center server 300 together with the test data of the wearable signal acquisition device 100; The command of the central server 300 completes the sound and light alarm. the

The command center server 300 is wirelessly connected to the communication unit 200, receives the monitoring data of the wearable signal acquisition device 100, and judges whether the physiological characteristic signal is abnormal according to the motion signal, and sends an alarm command to the communication unit 200 if abnormal. The command center server 300 stores received data, and can display raw data and processing results to medical staff. In this embodiment, the command center server 300 is a computer with network connection, which can be connected to the mobile phones of multiple testees through the network. The command center server 300 analyzes the received data packets, and calculates the heart rate and respiration rate of the rescuers. , blood pressure, body temperature, and exercise status, and display various physiological signal waveforms of rescuers on the display device after processing. the

The wearable signal acquisition device 100 includes a wearable piece 120 that can be worn by a tester and a signal collection unit 110 installed on the wearable piece 120 . The signal acquisition unit 110 includes a physiological characteristic measurement unit 113 , an exercise state measurement unit 115 , a communication interface 117 , a microprocessor 111 and a power supply unit 119 . The wearing piece 120 is, for example, a shirt, a sleeveless vest, and a short-sleeve vest, but it is not limited thereto. the

The physiological characteristic measurement unit 113 includes an electrocardiogram and respiration measurement component 1131 , a body temperature measurement component 1135 and a blood pressure measurement component 1133 . The physiological characteristic measurement unit 113 is connected with the microprocessor 111 in signal, and transmits the measured human physiological characteristic signal to the microprocessor 111 . the

The electrocardiogram and respiration measurement component 1131 can be a well-known product sold in the market, such as the ADS1294R type electrocardiogram and respiration front-end chip and three test probes (or called test electrodes) of American TI Company. The ECG and respiratory front-end chip completes the functions of ECG signal conditioning, differential, adjustable gain signal amplification, and analog-to-digital conversion. The ECG and respiratory front-end chip simultaneously complete the function based on chest impedance measurement, that is, provide a modulated constant-amplitude current source to excite the human body and measure the voltage generated by the current to obtain the chest impedance of the human body, which changes with the breathing of the human body. Two of the three test probes are placed on the left and right clavicles or on the left and right arms to form the standard ECG limb lead II (Lead II); the other test probe is placed on the right abdomen to suppress common-mode interference. the

The body temperature measurement component 1135 can be a known product sold in the market, such as a platinum resistance temperature sensor and a signal adjustment circuit. the

The blood pressure measurement component 1133 includes a pulse wave volume ratio circuit and a probe; the pulse wave volume ratio probe is used to irradiate human arteries with light of a certain wavelength, and measure the intensity of transmitted or reflected light, and analyze blood based on the absorption of light by blood. The change of the volume produces the indirect measurement of the pulse wave; the pulse wave volume rate circuit includes a transverse current generating unit, which excites the LED lamp to emit light of a fixed wavelength, and the conversion of the current to the voltage of the radio and television induction device, as well as the filtering and amplification of the voltage , DC adjustment, limiter. the

The motion state measuring unit 115 is a motion sensor, for example, an acceleration sensor chip of ADXL345 of American Analog Devices can be used. This chip can measure 3-axis acceleration, the measurement range is adjustable, and has an SPI bus. The exercise state measuring unit 115 is connected with the microprocessor 111 in signal, and transmits the tested exercise signal to the microprocessor 111 . The sampling rate of the acceleration sensor chip is 100Hz per axis, and the number of quantization bits is 8bit. The measurement range of the accelerometer is ±2g (g is the acceleration due to gravity). The accelerometer, microprocessor 111, communication interface 117, and power supply unit 119 are placed on the circuit board (not shown). Since the circuit board is fixed on the chest on the human body, the driving motion of the human body can be measured in this way. At the same time, the accelerometer can also measure the acceleration of gravity to provide information for human body posture recognition at static moments. the

The communication interface 117 transmits the tested human physiological characteristic signals and motion signals in a wireless or wired manner. This communication interface 117 is the bluetooth chip of CSR company in the present embodiment, supports bluetooth protocol 2.1 EDR expansion, communicates with microprocessor 111 by serial port, and data transmission is given to communication unit 200. the

The power supply unit 119 provides power for the signal acquisition unit 110 , and includes a battery, a DC/DC conversion module for converting the battery, a switch circuit for controlling the power switch, and a charging circuit. The microprocessor 111 monitors the power information of the battery and displays the battery power. The battery may be a lithium battery. the

The microprocessor 111 can adopt the MSP430F247 single-chip microcomputer of TI Company, which receives the physiological characteristic signal and the motion state signal and packs the data, and sends the collected data through the communication interface 117 . the

The signal acquisition unit 110 of this embodiment also has a waterproof and explosion-proof casing (not shown), and all interfaces have waterproof rubber pads. the

The aforementioned wearable signal acquisition device 100 adopts a wearable design, and the probes and patch connection lines required for acquisition are embedded in the wearable piece, which can effectively prevent signal interference and motion false caused by the shaking of the cable. At the same time, it is convenient for rescuers to wear, does not affect the activities of rescuers, and does not affect the wearing and use of chemical protective clothing. The monitoring system uses a smart phone as a communication unit, and is wirelessly connected to the signal collection department and the central server, reducing cables. In addition, using the communication function of the smart phone, you can choose WIFI or 2G, 3G transmission. At the same time, the smart phone's sound and light emitting function can be used to alarm in time. The GPS function of the smartphone is used to provide positioning. The system also specially collects the acceleration signals of the rescuers, which can determine the activity status of the rescuers, and assist in judging whether the changes in the physiological state of the rescuers are normal changes caused by exercise or dangerous situations caused by other reasons. the

The heart rate dynamic monitoring method for monitoring the heart rate of the rescuer by using the dynamic monitoring system for the physiological characteristics of the rescuer of the present invention includes, step S1, obtaining the heart rate parameters of the rescuer at different exercise intensities, and storing them in the command center server 300; step S2, setting The threshold of the centering rate parameter; Step S3, monitor the exercise intensity signal (the exercise intensity signal is calculated from the acceleration signal) and the electrocardiogram signal when the rescuer rescues; Step S4, judge whether the rescuer's heart rate is abnormal. the

Step S1 , acquiring heart rate parameters of rescuers at different exercise intensities, and storing them in the command center server 300 . the

The heart rate parameters include resting heart rate, target heart rate, ratio k of target heart rate and exercise intensity, heart rate drift rate a_l, time T_tec required for heart rate to rise from resting heart rate to target heart rate, and time T_tec for heart rate to drop from target heart rate to resting heart rate. Time needed T_tar, maximum heart rate, etc. the

The change of human heart rate with exercise is divided into static stage, continuous exercise stage with a certain intensity, and recovery stage. In the resting stage, the heart rate generally changes in a small range within a certain constant value, which is called the resting heart rate. Corresponding to the continuous exercise stage, the heart rate will rise rapidly in the early stage, which is called the rising period, and the heart rate will rise slowly in the later stage, which is called the drifting period. The maximum heart rate is related to age and gender, and there are differences between individuals. The maximum heart rate can be obtained through experimental tests or calculated by formulas. the

There are many ways to obtain the heart rate parameters. For example, the tester can continuously exercise at 3 kilometers per hour on a treadmill, and record acceleration data and ECG data at the same time; Electrocardiogram data; and so on, let the testers exercise under various exercise intensities, and record the acceleration data and ECG data at the same time; then use the test data to obtain the corresponding heart rate parameters under different exercise intensities. the

The exercise intensity is represented by the degree of fluctuation (TFA) of the acceleration signal, namely

$\mathrm{<span\; class="notranslate">\; intn</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; TFA</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; N</span>}}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; x</span>}}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; the\; y</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; the\; y</span>}}}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span><span\; class="notranslate">\; |</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; z</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; z</span>}}}<span\; class="notranslate">\; )</span>$

表示N个z轴加速度数据的平均值。此处的X轴是测试者的左右方向、Y轴是测试者的上下方向、Z轴是测试者的前后方向。  Among them, N is the number of acceleration samples in a certain time interval. This time interval is generally equal to the interval of heart rate calculation. For example, if the heart rate is updated once a minute, then this value is the number of acceleration data in one minute. a _z represents the acceleration data of the x-axis, a _y represents the acceleration data of the y-axis, a _z represents the acceleration data of the z-axis, Indicates the average value of N x-axis acceleration data, Indicates the average value of N y-axis acceleration data.

Indicates the average value of N z-axis acceleration data. Here, the X-axis is the left-right direction of the tester, the Y-axis is the up-down direction of the tester, and the Z-axis is the front-back direction of the tester.

Calculation of heart rate refers to determining the number of heartbeats in one minute by detecting the position of the QRS wave in the ECG data and counting the number of QRS waves in one minute. the

The aforementioned heart rate parameters correspond to the exercise intensity. For example, as shown in Table 1, different exercise intensities have different heart rate parameters. The heart rate parameters are stored in the central server 300 . the

Table 1. Correspondence between exercise intensity and heart rate parameters

Exercise intensity TFA target heart rate Ratio k Drift rate a_l T_Tec T_tar 16 80 0 ₁ 0 0 0 150 100 0.13 1.1 times/min 0.5 0.5 600 155 0.13 1.2 times/min 3 3 675 178 0.14 0.3 times/min 3 4

Step S2, setting the threshold of the heart rate parameter. the

In this step, you can set the threshold of each heart rate parameter. For example, if the test resting heart rate is 75 beats/min, then set the resting heart rate threshold to 75±10 beats/min; The time T_tar can be set to ±M minutes, and M is an integer less than 10; the same T_Tec can also set a threshold of the order of minutes; the heart rate rise rate a_l during the heart rate drift period can also set a threshold of the order of 10 times per minute. the

Step S3, monitoring the exercise intensity signal and the electrocardiogram signal of the rescuer during the rescue. Specifically, through the above-mentioned dynamic monitoring system for the physiological characteristics of rescuers, the exercise intensity information and physiological characteristic information of the rescuers are monitored. The physiological characteristic information includes electrocardiogram information. Monitoring data is sent to command center server 300. the

Step S4, judging whether the rescuer's heart rate is abnormal. the

Specifically, it includes firstly judging the exercise intensity according to the monitored exercise intensity information, calling the heart rate feature information corresponding to the exercise intensity stored in the command center server 300, and then comparing the monitored heart rate with the heart rate feature information to determine whether the heart rate feature The threshold range of information, if the monitored heart rate information is not within the threshold range of heart rate characteristic information, it is considered abnormal, and the command center server 300 issues an audible and visual alarm. Abnormal heart rate includes the following situations: 1) In a static state, the heart rate continues to rise and fall for 20 beats; 2) Violation of the heart rate change trend in each stage of the heart rate, such as in the early stage of exercise, the heart rate continues to drop; 3) The exercise intensity increases, and the heart rate 80% of the target heart rate is not reached when the T_tar time is exceeded; 4) The exercise intensity decreases, and the heart rate does not reach the new target heart rate when the time exceeds T_rec; 5) In the exercise state, the heart rate is close to 80% of the maximum heart rate; 6) During the drift period, the heart rate prediction value The error with the measured value is greater than the predefined threshold. the

The foregoing heart rate dynamic monitoring method obtains the motion state of the rescuer through the acceleration signal, and judges whether the heart rate change is normal with reference to the motion state of the rescuer. Because the heart rate is greatly affected by exercise, the rise, fall and various fluctuations of the heart rate cannot be judged whether it is normal without knowing the exercise status of the rescuer. This method is based on the physiological law of heart rate changes with exercise, taking into account the heart rate change law during the rising period, drift period, and recovery period, and through the pre-training data, the heart rate change law of rescuers with exercise is obtained, and the detection threshold generated based on this , to judge the heart rate, so the accuracy of the method is greatly improved. the

Although the utility model has been disclosed above with preferred embodiments, it is not intended to limit the scope of implementation of the utility model. Simple equivalent changes and modifications made according to the claims and description of the utility model still belong to the utility model. Within the scope of new technical solutions. the

Claims (9)

1. Wearable rescue personnel physiological feature dynamic monitoring equipment is characterized in that it comprises:

The wearing spare of can the testee dressing; And

Be installed in the signal acquisition part of dressing part, this signal acquisition part comprises physiological feature measuring unit, kinestate measuring unit, communication interface, microprocessor and supply of electrical energy unit; This physiological feature measuring unit, kinestate measuring unit, communication interface are connected with microprocessor signals respectively, and this supply of electrical energy unit provides required electric energy.

2. Wearable rescue personnel physiological feature dynamic monitoring equipment as claimed in claim 1 is characterized in that wherein said physiological feature measuring unit comprises electrocardiogram and respiration measurement assembly, measurement of bldy temperature assembly and blood pressure measurement assembly; This physiological feature measuring unit is connected with this microprocessor signals, and the physiological feature signal of measuring is passed to this microprocessor.

3. Wearable rescue personnel physiological feature dynamic monitoring equipment as claimed in claim 2 is characterized in that wherein said electrocardiogram is connected electrocardiogram and is connected front-end chip and three test electrodes that are connected with the front-end chip signal with the respiration measurement assembly.

4. Wearable rescue personnel physiological feature dynamic monitoring equipment as claimed in claim 2 is characterized in that signal adjustment and resistance measuring circuit that wherein said measurement of bldy temperature assembly comprises platinum resistance temperature sensor and is electrically connected with platinum resistance temperature sensor.

5. Wearable rescue personnel physiological feature dynamic monitoring equipment as claimed in claim 2 is characterized in that wherein said blood pressure measurement assembly comprises having probe that pulse wave photoelectricity traces and coupled back end signal modulate circuit.

6. Wearable rescue personnel physiological feature dynamic monitoring equipment as claimed in claim 1 is characterized in that wherein said kinestate measuring unit is acceleration transducer.

7. rescue personnel's physiological feature dynamic monitoring system is characterized in that comprising

Such as the described Wearable rescue personnel of arbitrary claim physiological feature dynamic monitoring equipment in the claim 1 to 6;

Communication unit is connected with Wearable rescue personnel physiological feature dynamic monitoring devices communicating; And

Command centre's server is with the communication unit wireless connections;

Wherein, this Wearable rescue personnel physiological feature dynamic monitoring equipment Real-Time Monitoring rescue personnel's physiological feature signal and motion state signal; This communication unit passes to this command centre's server with the data of this Wearable rescue personnel physiological feature dynamic monitoring monitoring of equipment; This command centre's server receive data also judges according to motion state signal whether the physiological feature signal is unusual.

8. rescue personnel's physiological feature dynamic monitoring system as claimed in claim 7 is characterized in that wherein said communication unit is mobile phone.

9. rescue personnel's physiological feature dynamic monitoring system as claimed in claim 7 is characterized in that wherein said command centre server is the computer that possesses network connection.

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