CN213097840U - Intelligent vital sign monitoring and controlling system based on microwave radar - Google Patents
Intelligent vital sign monitoring and controlling system based on microwave radar Download PDFInfo
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Abstract
The utility model provides a vital sign intelligent monitoring control system based on microwave radar which characterized in that: the system comprises a Doppler human body life detection radar front end, an intelligent control end, a local control end and a remote end; the local control end comprises a controller and local hardware equipment, and the local hardware equipment comprises an intelligent home and a medical emergency system; and the intelligent control end identifies the original data acquired by the front end of the Doppler human body life detection radar and then generates human body life characteristic parameters and gesture commands. The utility model is based on the detection of gesture command, human respiration and heart rate by the continuous wave radar, the front end of the Doppler radar has simple structure, realizes the all-weather monitoring of the physiological state of the target human body under the condition of no contact, and the radar electromagnetic wave technology is not influenced by the environment; the intelligent household appliance can realize the control switch and emergency help seeking of the intelligent household appliance, and can carry out voice or manual remote control.
Description
Technical Field
The utility model relates to an intelligence house technical field specifically is a vital sign intelligent monitoring control system based on microwave radar.
Background
With the continuous development of economy and the continuous improvement of living standard of people in China, people pay more attention to their own health conditions, and particularly, the physiological health conditions of some special groups need to be tracked for a long time. On one hand, the physiological health status of the elderly at home, in hospitals or in nursing homes needs to be monitored for a long time, especially for the elderly with inconvenient actions, and a healthy intelligent home system is also needed to improve the self-care ability of the elderly in life, for example, the system can assist the elderly to remotely and intelligently control a lamp and a power supply to prevent accidents in the process of switching on and off the electric appliances. On the other hand, the office workers with chronic diseases for a long time, the high working pressure and the fast life rhythm can also cause accidents in the process of home. Even for other general populations, long-term monitoring of physiological conditions in their homes is necessary.
In recent years, with the development of consumer electronics technology, people mostly monitor the human body characteristic parameters of people, such as heart rate, respiration, blood oxygen, and the like, by means of some consumer electronics products, such as health bracelets, but the devices are characterized in that the devices must be worn on the human body for a long time, and the normal activities of the human body are affected. The contactless device can monitor the physiological state of the target human body without contact. The method is characterized in that image video monitoring is adopted to observe the physiological state of an indoor human body in real time, but the image technology is limited by ambient light and cannot distinguish the state of a sleeping person; the infrared sensing measurement monitoring equipment can sense the temperature of a human body to judge the life condition of the human body, but cannot accurately know the heartbeat, the breathing and other conditions of the human body. In addition, these conventional devices can only perform a single function, and cannot help people to control the on/off of the intelligent home appliance. Although some intelligent switch systems are already available in the market, the intelligent switch systems mostly need to realize a voice or manual remote control function by means of a mobile phone, and are inconvenient for some old people to use.
With the continuous development of radar technology, it is mature to use doppler radar to monitor the vital state of human body, such as respiration and heartbeat. In addition, radar gesture command technology is also gradually being researched and used. Compared with other non-contact technologies, the radar electromagnetic wave technology is not influenced by the environment and has the advantages of all weather and tradition. Therefore, this patent realizes a healthy house system based on doppler radar, and this system utilizes doppler radar, utilizes signal processing algorithm to obtain human breathing and heartbeat parameter, sends human vital sign parameter long-range to the distal end, simultaneously, when detecting human vital sign parameter unusual, then can trigger local and remote alarm, and simultaneously, this system can also accomplish the gesture command to control local equipment such as lamps and lanterns, cell-phone terminal equipment etc..
SUMMERY OF THE UTILITY MODEL
The utility model discloses aim at solving one of the at least technical problem who exists among the prior art, provide a vital sign intelligent monitoring control system based on microwave radar, can realize all-weather, the human life state of contactless control.
The utility model discloses a solve above-mentioned technical problem and adopt following technical scheme: the utility model provides a vital sign intelligent monitoring control system based on microwave radar which characterized in that: the method comprises the following steps: the intelligent control system comprises a Doppler human body life detection radar front end, an intelligent control end, a local control end and a remote end, wherein the Doppler human body life detection radar front end and the intelligent control end, the intelligent control end and the local control end, and the local control end and the remote end are in communication connection; the local control end comprises a controller and local hardware equipment, and the local hardware equipment comprises an intelligent home and a medical emergency system; and the intelligent control end identifies the original data acquired by the front end of the Doppler human body life detection radar and then generates human body life characteristic parameters and gesture commands.
An intelligent control method of a vital sign intelligent monitoring control system based on a microwave radar is characterized in that: the method comprises the following specific steps:
step one, starting a system, setting parameters, and presetting a gesture command as: facing to the forward waving hand, backward waving hand and waving hand before and after one period of radar, waving hand forward to control local light to be turned on, waving hand backward to control local light to be turned off, waving hand before and after one period to control local dialing 120 emergency calls;
amplifying the output orthogonal I/Q baseband signals by 100 times at the front end of the Doppler human body life detection radar, and then transmitting electromagnetic field waves, wherein the electromagnetic field waves encounter detection signals returned by a detected human body and then output two orthogonal analog signals through low-pass filtering, and the two orthogonal analog signals are converted into original digital signals to be transmitted to an intelligent control end;
reading the original digital signal by the intelligent control end, identifying and processing the original digital signal, sending the human vital sign parameters and the gesture command generated after identification processing to the local control end and the remote end, and simultaneously storing the human vital sign parameters and the gesture command;
step four, repeating the step two and the step three, after the human body vital sign parameters identified by the intelligent control terminal are transmitted to the local control terminal and the remote terminal, if the parameters are abnormal, starting the medical first-aid system, and triggering an alarm;
and step five, after the local control terminal receives the gesture command, controlling the local intelligent home according to the gesture.
In the utility model, the front end of the Doppler human life detection radar comprises a transmitter, a receiver, a local oscillator, a receiving and transmitting antenna, a precision amplifier, a low-pass filtering component and an AD signal acquisition card; the transmitter, the receiver, the local oscillator and the receiving and transmitting antenna belong to a radar radio frequency part, the model number of the transmitter, the receiver, the local oscillator and the receiving and transmitting antenna is 24GHz radar analog front end K-LC2 and mainly responsible for radar radio frequency receiving and transmitting; the precision amplifier is used for signal amplification; the low-pass filtering component is used for low-pass filtering the amplified signal into two orthogonal analog signals; the AD acquisition card is used for converting two orthogonal analog signals into digital signals.
In the utility model, the intelligent control end comprises a data interface module, a signal processing module, a wireless communication module, a data storage module, a display module and a parameter configuration module; the data interface module is used for receiving an original digital signal acquired by an AD acquisition card; the signal processing module is used for processing the original digital signal and generating human body vital sign parameters; the wireless communication module is used for sending the human body vital sign parameters to the local control end and the remote end; the data storage module is used for collecting and generating human body vital sign parameters by a system; the display module is used for displaying the human body vital sign parameters in real time; the parameter configuration module is used for setting basic parameters, network configuration and historical data storage configuration of the intelligent control end.
In the utility model, the human vital sign parameters include human respiration and heartbeat frequency detection, and human respiration arrest detection;
the detection of the human respiration and heartbeat frequency is to output a baseband signal I/Q through a Doppler human life detection radar, perform time-frequency analysis on the baseband signal to obtain two-dimensional time-frequency distribution, and detect the Doppler Instantaneous Frequency (IF) of respiratory motion by using an instantaneous frequency detection technology based on the time-frequency distribution; carrying out spectrum analysis on the Instantaneous Frequency (IF), and searching peak values between 0-0.6Hz and 0.8-2HZ to obtain the respiratory and heartbeat frequencies of the human body;
the human body respiratory arrest detection is based on a 24GHz Doppler radar, and is detected according to the frequency range of respiration, the periodicity of respiratory motion and the energy of vital sign signalsDetecting whether sudden respiratory arrest occurs; the method specifically comprises the following steps: initializing the apnea detection frequency i to be 0, and setting an apnea detection threshold value T; calculating time-frequency distribution of complex signals formed by the life detection signals I/Q in a period of time to obtain a two-dimensional time-frequency matrix TFR (n, k), wherein n is a discrete time sequence, and k is a discrete frequency sequence; detecting Doppler IF of respiratory movement from TFR (n, k) by using an IF detection algorithm to obtain IF (n); performing fast Fourier transform on the IF (n) to obtain an amplitude spectrum P (k); detecting peak value Amax and peak frequency F of P (k), and calculating average amplitude C of P (k) within 0.1-0.8 Hz; if it is not
Apnea i ═ i + 1; otherwise, continuously calculating the ratio Amax/C; if ratio>T, breathing exists, i is 0, otherwise, breathing is suspended; if i is more than or equal to 3, the continuous three-time respiration stops, apnea exists, and an alarm module is triggered; repeating the steps, if breathing exists, i can never reach 3, otherwise, if breathing stop is detected for three times, finally judging apnea;
the utility model discloses in, three kinds of typical gestures when the gesture order is human static, when the human body waves the hand, human gesture can produce a Doppler modulation to radar incident wave, and the frequency expression of this Doppler modulation is:
wherein v is the waving speed of the human body, theta is the included angle between the arm and the radar in the vertical direction, and lambda is the radar electromagnetic wave wavelength; when the human body waves hands forwards, a Doppler frequency f greater than zero is generatedd(ii) a Conversely, when waving the hand in the reverse direction, v<0，fd<0; when the human body waves back and forth in one period, two Doppler frequencies f greater than 0 and less than 0 are generatedd(ii) a In addition, since the speed of the human is not constant when waving the hand, the doppler frequency will not be the ideal single doppler frequency, but rather a range of doppler frequencies, but the doppler frequencyThe positive and negative signs of the rate are invariant; therefore, through the above analysis, the doppler frequencies of the three gestures are respectively characterized as follows:
front waving Doppler frequency ffd: greater than 0, centered on the positive half-axis of the doppler spectrum,
rear waving Doppler frequency fbd: less than 0, centered on the negative half-axis of the doppler spectrum,
front and rear waving Doppler ffb: is not only larger than 0 but also smaller than 0 and is concentrated on the positive half shaft and the negative half shaft of the Doppler frequency spectrum;
based on the above analysis, the gesture command algorithm can distinguish the gesture through the positive and negative frequency, and assume that the bilateral frequency spectrum of the gesture echo is Pd(k) Wherein k is a discrete frequency point; assuming a forward spectrum of
Negative frequency spectrum is
Assuming that the frequency spectrum is N discrete points, the ratio of the sum of the amplitudes of the positive and negative half-axis frequencies can be used as a basis for distinguishing gestures, and the expression is as follows:
when waving one's hand at present, the value of R is large, R>>1; when waving the hand backward, R is smaller in value<<1; when the hands are waved back and forth for one period, R is approximately equal to 1 because the frequency spectrums of the left half shaft and the right half shaft are approximately symmetrical; setting a suitable threshold value T1,T2So that:
three gestures can be distinguished.
In the utility model, the local control end comprises an MCU, a wireless communication module, a display module, a power module, an alarm module, an input module, an output module and local hardware equipment; the MCU is STC89C51 and is used for controlling the operation of other modules of the local control end; the wireless communication module is used for providing a wireless communication function for the local control terminal; the display module is used for displaying human body vital sign parameters and local hardware equipment state data; the power supply module is used for supplying power to the MCU; the alarm module is used for triggering to remind local monitored personnel when abnormal data occurs; the input module and the output module are used for inputting and outputting data.
The utility model discloses in, the remote end includes terminal equipment for the human life state of remote monitoring target triggers the warning when discovering unusually.
Has the advantages that: compared with the prior art, the utility model is based on the continuous wave radar to carry out gesture command and human respiration and heart rate detection, the front end of the Doppler radar has simple structure, realizes all-weather monitoring of the physiological state of the target human body under the condition of no contact, and the radar electromagnetic wave technology is not influenced by the environment; the intelligent household appliance can realize the control switch and emergency help seeking of the intelligent household appliance, and can carry out voice or manual remote control.
Drawings
FIG. 1 is a block diagram of the overall system of the present invention;
FIG. 2 is a flow chart of the Doppler radar for extracting respiration and heartbeat;
FIG. 3 is a flow chart of the gesture command algorithm of the present invention;
FIG. 4 is a schematic diagram of the MCU circuit of the local control end of the present invention;
fig. 5 is a schematic diagram of the local control end wireless communication module of the present invention;
FIG. 6 is a circuit diagram of the local control end wireless communication module and the MCU serial port connection of the present invention;
fig. 7 is a circuit diagram of the power module of the local control terminal of the present invention.
Detailed Description
In order to facilitate understanding of the present invention, the present invention will be described more fully with reference to the accompanying drawings. The present invention may be embodied in many different forms and is not limited to the embodiments described in the text. Rather, the embodiments are provided so that this disclosure will be thorough and complete.
As shown in the attached drawings, the system and the method for intelligently monitoring and controlling the vital signs based on the microwave radar comprise a Doppler human body life detection radar front end, an intelligent control end, a local control end and a remote end, wherein the Doppler human body life detection radar front end and the intelligent control end, the intelligent control end and the local control end, and the local control end and the remote end are in communication connection. Wherein:
the front end of the Doppler human life detection radar comprises a transmitter, a receiver, a local oscillator, a receiving and transmitting antenna, a precision amplifier, a low-pass filtering component and an AD signal acquisition card; the transmitter, the receiver, the local oscillator and the receiving and transmitting antenna belong to a radar radio frequency part, the model number of the transmitter, the receiver, the local oscillator and the receiving and transmitting antenna is 24GHz radar analog front end K-LC2 and mainly responsible for radar radio frequency receiving and transmitting; the precision amplifier is used for signal amplification; the low-pass filtering component is used for low-pass filtering the amplified signal into two orthogonal analog signals; the AD acquisition card is used for converting two orthogonal analog signals into digital signals.
The intelligent control end comprises a data interface module, a signal processing module, a wireless communication module, a data storage module, a display module and a parameter configuration module; the data interface module is used for receiving an original digital signal acquired by an AD acquisition card; the signal processing module is used for processing the original digital signal and generating human body vital sign parameters; the wireless communication module is used for sending the human body vital sign parameters to the local control end and the remote end; the data storage module is used for collecting and generating human body vital sign parameters by a system; the display module is used for displaying the human body vital sign parameters in real time; the parameter configuration module is used for setting basic parameters, network configuration, historical data storage configuration and the like of the intelligent control end.
The local control end comprises an MCU, a wireless communication module, a display module, a power supply module, an alarm module, an input module, an output module and local hardware equipment; the MCU is STC89C51 and is used for controlling the operation of other modules of the local control end; the wireless communication module is used for providing a wireless communication function for the local control terminal; the display module is used for displaying human body vital sign parameters and local hardware equipment state data; the power supply module is used for supplying power to the MCU; the alarm module is used for triggering to remind local monitored personnel when abnormal data occurs; the input module and the output module are used for inputting and outputting data. The remote end comprises terminal equipment, such as a mobile terminal like a tablet computer and a mobile phone, or PC terminal equipment, and is used for remotely monitoring the life state of a target human body and triggering alarm when abnormality is found.
The human body vital sign parameters comprise human body respiration and heartbeat frequency detection and human body respiratory arrest detection.
The detection of the respiratory and heartbeat frequency of the human body comprises the steps of outputting a baseband signal I/Q through a Doppler human body life detection radar, carrying out time-frequency analysis on the baseband signal to obtain two-dimensional time-frequency distribution, and detecting the Doppler Instantaneous Frequency (IF) of respiratory motion by using an instantaneous frequency detection technology based on the time-frequency distribution; and carrying out spectrum analysis on the Instantaneous Frequency (IF), and searching peak values between 0-0.6Hz and 0.8-2HZ to obtain the respiratory and heartbeat frequencies of the human body.
Detecting whether the human body respiratory arrest occurs or not according to the respiratory frequency range, the respiratory motion periodicity and the energy of the vital sign signals on the basis of a 24GHz Doppler radar; the method specifically comprises the following steps: initializing the apnea detection frequency i to be 0, and setting an apnea detection threshold value T; calculating time-frequency distribution of complex signals formed by the life detection signals I/Q in a period of time to obtain a two-dimensional time-frequency matrix TFR (n, k), wherein n is a discrete time sequence, and k is a discrete frequency sequence; detecting Doppler IF of respiratory movement from TFR (n, k) by using an IF detection algorithm to obtain IF (n); performing fast Fourier transform on the IF (n) to obtain an amplitude spectrum P (k); detecting peak value Amax and peak frequency F of P (k), and calculating average amplitude C of P (k) within 0.1-0.8 Hz; if it is not
Apnea i ═ i + 1; otherwise, continuously calculating the ratio Amax/C; if ratio>T, breathing exists, i is 0, otherwise, breathing is suspended; if i is i +1i is more than or equal to 3, which indicates that continuous three-time respiration stops and apnea exists, and triggers an alarm module; and (3) repeatedly executing the steps, if respiration exists, i can never reach 3, otherwise, if respiration stop is detected for three times, finally judging apnea.
The gesture command is three typical gestures when the human body is still: swinging hands forwards and backwards and swinging hands forwards and backwards in one period facing to the radar; when a human body waves a hand, human body gestures can generate Doppler modulation on radar incident waves, and the frequency expression of the Doppler modulation is as follows:
wherein v is the waving speed of the human body, theta is the included angle between the arm and the radar in the vertical direction, and lambda is the radar electromagnetic wave wavelength; when the human body waves hands forwards, a Doppler frequency f greater than zero is generatedd(ii) a Conversely, when waving the hand in the reverse direction, v<0，fd<0; when the human body waves back and forth in one period, two Doppler frequencies f greater than 0 and less than 0 are generatedd(ii) a In addition, since the speed of the person is not constant when waving the hand, the doppler frequency of the person will not be an ideal single doppler frequency but a range of doppler frequencies, but the signs of the doppler frequencies are constant; therefore, through the above analysis, the doppler frequencies of the three gestures are respectively characterized as follows:
(1) front waving Doppler frequency ffd: greater than 0, centered on the positive half-axis of the doppler spectrum,
(2) rear waving Doppler frequency fbd: less than 0, centered on the negative half-axis of the doppler spectrum,
(3) front and rear waving Doppler ffb: is not only larger than 0 but also smaller than 0 and is concentrated on the positive half shaft and the negative half shaft of the Doppler frequency spectrum;
based on the above analysis, the gesture command algorithm can distinguish the gesture through the positive and negative frequency, and assume that the bilateral frequency spectrum of the gesture echo is Pd(k) Wherein k is a discrete frequency point; assuming a forward spectrum of
Negative frequency spectrum is
Assuming that the frequency spectrum is N discrete points, the ratio of the sum of the amplitudes of the positive and negative half-axis frequencies can be used as a basis for distinguishing gestures, and the expression is as follows:
when waving one's hand at present, the value of R is large, R>>1; when waving the hand backward, R is smaller in value<<1; when the hands are waved back and forth for one period, R is approximately equal to 1 because the frequency spectrums of the left half shaft and the right half shaft are approximately symmetrical; setting a suitable threshold value T1,T2So that:
three gestures can be distinguished.
During the use, start the system, set up the parameter, the gesture command is preset to: facing to the forward waving hand, backward waving hand and waving hand before and after one period of radar, waving hand forward to control local light to be turned on, waving hand backward to control local light to be turned off, waving hand before and after one period to control local dialing 120 emergency calls; the front end of the Doppler human body life detection radar outputs an orthogonal I/Q baseband signal, the orthogonal I/Q baseband signal is amplified by a precision amplifier by 100 times and then emits an electromagnetic field wave, the electromagnetic field wave meets a detection signal returned by a detected human body and then is subjected to 50Hz Butterworth low-pass filtering to output two paths of orthogonal analog signals, and the two paths of orthogonal analog signals are converted into original digital signals by an AD acquisition card and transmitted to an intelligent control end; the intelligent control end reads the original digital signal, identifies and processes the original digital signal, sends the human vital sign parameters and the gesture command generated after the identification process to the local control end and the remote end, simultaneously stores the human vital sign parameters and the gesture command, and displays the parameters and the gesture command on the display module; the local control end receives the human body vital sign parameters, and when the parameters are abnormal, the medical emergency system is started and an alarm is triggered; and when the local control terminal receives the gesture command, the local intelligent home is controlled according to the gesture.
In the above embodiments, all functions may be implemented, or a part of the functions may be implemented as necessary.
The above-mentioned specific implementation is only an embodiment of the present invention, and the present invention is not limited to this embodiment. The spirit of the invention and the scope of the appended claims are to be construed as broadly as the invention may be practiced without substantial inventive faculty.
Claims (7)
1. The utility model provides a vital sign intelligent monitoring control system based on microwave radar which characterized in that: the method comprises the following steps: the intelligent control system comprises a Doppler human body life detection radar front end, an intelligent control end, a local control end and a remote end, wherein the Doppler human body life detection radar front end and the intelligent control end, the intelligent control end and the local control end, and the local control end and the remote end are in communication connection; the local control end comprises a controller and local hardware equipment, and the local hardware equipment comprises an intelligent home and a medical emergency system; and the intelligent control end identifies the original data acquired by the front end of the Doppler human body life detection radar and then generates human body life characteristic parameters and gesture commands.
2. The intelligent vital sign monitoring and controlling system based on the microwave radar as claimed in claim 1, wherein the front end of the doppler human body life detection radar comprises a transmitter, a receiver, a local oscillator, a receiving and transmitting antenna, a precision amplifier, a low-pass filtering component and an AD signal acquisition card.
3. The intelligent vital sign monitoring and controlling system based on the microwave radar as claimed in claim 1, wherein the intelligent control end comprises a data interface module, a signal processing module, a wireless communication module, a data storage module, a display module and a parameter configuration module; the data interface module is used for receiving an original digital signal acquired by an AD acquisition card; the signal processing module is used for processing the original digital signal and generating human body vital sign parameters; the wireless communication module is used for sending the human body vital sign parameters to the local control end and the remote end; the data storage module is used for collecting and generating human body vital sign parameters by a system; the display module is used for displaying the human body vital sign parameters in real time; the parameter configuration module is used for setting basic parameters, network configuration and historical data storage configuration of the intelligent control end.
4. The intelligent monitoring and control system for vital signs based on microwave radar as claimed in claim 3, wherein the parameters of vital signs of human body include detection of respiration and heartbeat frequency of human body, detection of sudden cessation of respiration of human body;
the detection of the human respiration and heartbeat frequency is to output a baseband signal I/Q through a Doppler human life detection radar, perform time-frequency analysis on the baseband signal to obtain two-dimensional time-frequency distribution, and detect the Doppler Instantaneous Frequency (IF) of respiratory motion by using an instantaneous frequency detection technology based on the time-frequency distribution; carrying out spectrum analysis on the Instantaneous Frequency (IF), and searching peak values between 0-0.6Hz and 0.8-2HZ to obtain the respiratory and heartbeat frequencies of the human body;
the human body respiratory arrest detection is to detect whether respiratory arrest occurs according to the respiratory frequency range, the respiratory motion periodicity and the energy of the vital sign signals based on a 24GHz Doppler radar.
5. The intelligent vital sign monitoring and controlling system based on the microwave radar as claimed in claim 3, wherein the gesture commands are three typical gestures when the human body is still;
when a human body waves a hand, human body gestures generate Doppler modulation on radar incident waves, and the frequency expression of the Doppler modulation is as follows:
wherein v is the waving speed of the human body, theta is the included angle between the arm and the radar in the vertical direction, and lambda is the radar electromagnetic wave wavelength; the gesture command algorithm can distinguish gestures through positive and negative frequency, and the bilateral frequency spectrum of gesture echoes is Pd(k) Wherein k is a discrete frequency point; forward frequency spectrum of
Negative frequency spectrum is
The frequency spectrum is N discrete points, the ratio of the amplitude sum of the positive half-axis frequency and the negative half-axis frequency is used as the basis for distinguishing gestures, and the expression is as follows:
6. the intelligent vital sign monitoring and controlling system based on the microwave radar as claimed in claim 1, wherein the local control terminal comprises an MCU, a wireless communication module, a display module, a power supply module, an alarm module, an input module, an output module and local hardware equipment; the MCU is STC89C51 and is used for controlling the operation of other modules of the local control end; the wireless communication module is used for providing a wireless communication function for the local control terminal; the display module is used for displaying human body vital sign parameters and local hardware equipment state data; the power supply module is used for supplying power to the MCU; the alarm module is used for triggering to remind local monitored personnel when abnormal data occurs; the input module and the output module are used for inputting and outputting data.
7. The intelligent monitoring and control system for vital signs based on microwave radar as claimed in claim 1, wherein the remote end comprises a terminal device for remotely monitoring the vital state of the target human body and triggering an alarm when an abnormality is found.
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