CN113633271A - Human health state detection method, device, equipment and storage medium - Google Patents

Human health state detection method, device, equipment and storage medium Download PDF

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CN113633271A
CN113633271A CN202111207305.6A CN202111207305A CN113633271A CN 113633271 A CN113633271 A CN 113633271A CN 202111207305 A CN202111207305 A CN 202111207305A CN 113633271 A CN113633271 A CN 113633271A
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human body
frame
voltage value
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CN113633271B (en
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何至军
曹丽娜
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Beijing Longzhi Digital Technology Service Co Ltd
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Shanghai Zhuohan Technology Co ltd
Beijing Zhuojianzhihan Technology Co ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  using microwaves or terahertz waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts

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Abstract

The invention relates to the technical field of human body detection of electromagnetic waves, and provides a method, a device, equipment and a storage medium for detecting human body health states. The method comprises the following steps: acquiring echo signals generated in continuous frames, analyzing to obtain voltage values of the echo signals, and determining a state decision weight corresponding to a signal wave of each frame according to the voltage values of the echo signals and the voltage value of the spatial noise; calculating a state value corresponding to each frame according to the state decision weight and the voltage value of the echo signal, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to a comparison result; and judging the health state of the human body according to the human body state corresponding to the continuous frames in the preset time and a preset decision rule. The invention can realize the recognition of the human body state based on the microwave signal, thereby accurately judging the health state of the human body and improving the application range of the detection of the vital signs of the human body by utilizing the microwave.

Description

Human health state detection method, device, equipment and storage medium
Technical Field
The present invention relates to the field of electromagnetic human body detection technology, and in particular, to a method, an apparatus, a device, and a storage medium for detecting a health status of a human body.
Background
The microwave radar is a novel non-contact physiological signal monitoring method for monitoring physiological parameters of human bodies. The microwave radar transmits radio frequency waves with a certain frequency, the radio frequency waves generate reflected waves after contacting a human body, so that the fluctuation of the respiration and heartbeat of the human body is induced, and the frequency information of the respiration and heartbeat can be obtained by performing phase demodulation on the reflected waves.
In the prior art, although phase demodulation can be performed on a reflected signal of a microwave radar, frequency information of respiration and heartbeat can be obtained, and non-contact detection of a vital sign is realized based on the frequency information of the respiration and the heartbeat. However, in such a detection method of collecting microwave signals reflected by a detection object by using a microwave radar to perform respiration and heartbeat, it is impossible to sense and detect different activity states of a human body, i.e., it is impossible to distinguish and judge different activity states of a human body, and it is impossible to achieve the purpose of judging a health state of a human body based on a human activity state for a certain period of time, and therefore, it is impossible to accurately judge the health state of a human body.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a device and a storage medium for detecting a human health status, so as to solve the problems in the prior art that different human activity statuses cannot be distinguished and determined, and the human health status cannot be accurately determined.
In a first aspect of the embodiments of the present invention, a method for detecting a health status of a human body is provided, including: acquiring echo signals generated in preset continuous frames, wherein the echo signals are signal waves reflected back after microwave is emitted into a preset space by using a microwave antenna, and the continuous frames represent a plurality of continuous time intervals; analyzing a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determining a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise; calculating to obtain a state value corresponding to each frame according to the state decision weight and a voltage value corresponding to the echo signal, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to a comparison result; and judging the health state of the human body according to the human body state corresponding to the continuous frames in the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result.
In a second aspect of the embodiments of the present invention, there is provided a human health status detection apparatus, including: the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is configured to acquire echo signals generated in preset continuous frames, the echo signals are signal waves reflected back after microwave is emitted into a preset space by using a microwave antenna, and the continuous frames represent a plurality of continuous time intervals; the analysis module is configured to analyze a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determine a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise; the comparison module is configured to calculate a state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal, compare the state value corresponding to each frame with a standard value of a preset human body state, and determine the human body state corresponding to each frame according to a comparison result; and the judging module is configured to judge the health state of the human body according to the human body state corresponding to the continuous frames in the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result.
In a third aspect of the embodiments of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method when executing the program.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program, and the computer program realizes the steps of the above method when being executed by a processor.
The embodiment of the invention adopts at least one technical scheme which can achieve the following beneficial effects:
acquiring echo signals generated in preset continuous frames, wherein the echo signals are signal waves reflected back after microwaves are transmitted into a preset space by using a microwave antenna, and the continuous frames represent a plurality of continuous time intervals; analyzing a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determining a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise; calculating to obtain a state value corresponding to each frame according to the state decision weight and a voltage value corresponding to the echo signal, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to a comparison result; and judging the health state of the human body according to the human body state corresponding to the continuous frames in the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result. The invention can judge the human body states corresponding to different frames based on the analysis of the voltage value of the echo signal of the microwave antenna, and realize the detection of the human body health state based on the human body states corresponding to the continuous frames, thereby accurately identifying the different human body health states and improving the application range of the detection of the human body vital signs by utilizing the microwaves.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of the overall architecture of a system involved in a practical application scenario according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for detecting a health status of a human body according to an embodiment of the present invention;
FIG. 3 is a waveform diagram illustrating the average voltage generated within a frame in a practical application scenario;
FIG. 4 is a schematic diagram of a digital square wave corresponding to a code of a body motion state provided by an embodiment of the present invention;
FIG. 5 is a schematic diagram of a digital square wave corresponding to the encoding of the activity status of the thoracic cavity provided by the embodiment of the present invention;
FIG. 6 is a schematic diagram of a digital square wave encoded in response to an activity state of a heart rhythm, according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a digital square wave of human body state codes corresponding to consecutive frames within a preset time according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a human health status detection apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
The microwave radar is used for emitting microwaves with a certain frequency to a space, the emitted microwaves directly irradiate a human body, the respiration and heartbeat of the human body can cause expansion change of the chest and the lung, corresponding reflected waves can be generated due to the change of the micro dynamic state of the human body, the frequency information of the respiration and the heartbeat can be obtained by performing phase demodulation on the radar reflected waves, and the non-contact detection of vital signs is realized. The detection of human vital signs based on the microwave radar has wide application in the fields of health care, intelligent home and the like. In the prior art, microwave signals are transmitted to a human body through a microwave radar, the microwave signals reflected from the human body contain information of thoracic cavity vibration of the human body, information of respiratory and heartbeat frequencies of the human body and the like can be extracted from the microwave signals through a certain signal processing method, and the information can be used for daily basic physiological sign detection and health monitoring. The technology of sensing the respiratory and heartbeat frequencies of the human body using microwave radar is relatively mature and will not be described in detail here.
However, in the prior art, the frequency information of respiration and heartbeat can be obtained by performing phase demodulation on the reflected signal of the microwave radar, and the non-contact detection of the vital sign is realized based on the frequency information of respiration and heartbeat. However, in such a detection method of collecting microwave signals reflected by a detection object by using a microwave radar to perform respiration and heartbeat, it is impossible to sense and detect different activity states of a human body, i.e., it is impossible to distinguish and judge different activity states of a human body, and it is impossible to achieve the purpose of judging a health state of a human body based on a human activity state for a certain period of time, and therefore, it is impossible to accurately judge the health state of a human body.
In addition, in some practical application scenarios, the microwave radar is required to be capable of detecting the expansion change of the chest and the lung of the human body and the change of a small body movement (such as finger movement, four-limb movement and the like) of the human body so as to acquire more accurate echo signals, and accurate and stable state analysis is realized based on the echo signals obtained by reflecting the small body movement change, so that the human body health condition in a certain space can be accurately judged. However, the existing microwave radar is applied to sensing a large dynamic range of a human body, for example, the large dynamic range is sensed to determine whether a person exists in a certain space, so that the detection of a small dynamic range (such as chest expansion, small body movement, etc.) of the human body in the certain space cannot be accurately and stably performed, that is, the accurate detection of the small dynamic range of the human body cannot be realized.
In view of the above problems in the prior art, it is desirable to provide a human health status detection scheme capable of distinguishing and determining different human activity statuses based on analysis of an echo signal of a microwave antenna, so as to detect a small dynamic state of a human body in a certain space, thereby more accurately determining a health status of the human body. The overall architecture of the system according to the embodiment of the present invention is described below with reference to the accompanying drawings, and fig. 1 is a schematic diagram of the overall architecture of the system according to the embodiment of the present invention in an actual application scenario. As shown in fig. 1, the overall architecture of the system related to the general diagram generation scheme may specifically include:
the system overall architecture comprises a radar module and a processing module, wherein the radar module comprises a microwave antenna unit, a signal gain unit and a signal analysis unit, and the processing module comprises a temporary storage unit, a core processing unit and a communication unit; the radar module and the processing module are connected in a wired or wireless mode,
in practical applications, the radar module and the processing module may be specific physical unit modules, which are integrated in the same device, for example, all the unit modules may be configured in a microwave radar, or the processing module may be configured as a single physical unit module, and the radar module and the processing module are connected through wireless communication. Of course, it is understood that some units in the radar module and the processing module may be virtual unit modules, and the functions of these virtual unit modules may be implemented by an algorithm, in this case, some functions in the radar module and the processing module may be implemented based on independent background servers.
Furthermore, in the radar module, the antenna unit may be composed of several groups of microwave antennas, the microwave antennas integrate power transmission and reception, and the space scanning is realized by transmitting microwave signals into the space and by reflection and scattering; because the energy of the returned echo signal may not satisfy the analysis condition, a signal gain unit is required to perform signal amplification and noise filtering processing on the echo signal received by the antenna unit, and the signal gain unit may include a microwave amplifier and a microwave filter; and the linear wave pattern of the microwave signal processed by the signal gain unit is subjected to digital processing by using a signal analysis unit, and a decision signal is generated.
In the processing module, a temporary storage module is used for storing and sorting decision signals generated by the radar module in continuous time intervals, and all decision signals obtained by sorting in preset time are sent to a core processing unit; and analyzing the decision signal by using the core processing unit, judging the decision signal continuously generated in the preset time by using a preset decision rule so as to determine the human health state of the detected object in the time, carrying out data coding on the judgment result and sending out the information through the communication unit.
It should be noted that, in order to receive the echo signal more accurately and avoid the interference of excessive noise on the determination result in practical applications, the apparatus composed of the radar module and the processing module (for example, the apparatus is integrated into a radar apparatus having the above function) may be placed near the object to be detected, for example, below or around the bed. The following embodiments of the present invention are described with reference to detecting the health status of the subject during sleep as an example, however, the embodiments of the present invention are not limited to detecting the health status of the subject during sleep, and the present invention is also applicable to detecting the health status of the subject in other application scenarios, such as detecting the health status of the subject in a rescue environment, and the application scenarios of the embodiments of the present invention do not constitute a limitation to the present technical solution.
Fig. 2 is a schematic flow chart of a human health status detection method according to an embodiment of the present invention. The human health status detection method of fig. 2 may be performed by the microwave radar alone or the microwave radar in combination with the server. As shown in fig. 2, the method for detecting a health status of a human body may specifically include:
s201, acquiring echo signals generated in preset continuous frames, wherein the echo signals are signal waves reflected back after microwave is emitted into a preset space by using a microwave antenna, and the continuous frames represent a plurality of continuous time intervals;
s202, analyzing a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determining a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise;
s203, calculating to obtain a state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to the comparison result;
and S204, judging the health state of the human body according to the human body state corresponding to the continuous frames in the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result.
Specifically, the frame in the embodiment of the present invention is not an image frame in the conventional sense, but a process of transmitting electromagnetic waves to the space by the microwave antenna within a certain time interval and receiving the echo signal is referred to as a frame, and therefore, the time interval corresponding to a frame may be customized, for example, a microwave transmission and recovery process within 0.1s is regarded as a frame. The microwave antenna receives an echo signal once every time it transmits an electromagnetic wave, and the returned echo signal may be a wave-type signal, that is, the microwave signal is wave-type data having a certain wave crest, wavelength and frequency, wherein the wave crest corresponds to a voltage value of each microwave signal.
Further, the spatial noise is multipath noise or gaussian noise generated by electromagnetic waves emitted into the space by the microwave antenna and ejected in the space, for example, gaussian noise generated by mutual interference between the antennas, and the spatial noise is reflected as some burrs or oscillations in the waveform in the echo signal, so the spatial noise returned to the microwave antenna can also be regarded as some voltage values.
Further, the preset standard value of the human body state refers to a standard voltage value corresponding to the preset human body state, and the closer the state value corresponding to the waveform of each frame is to the standard voltage value, the closer the frame is to a certain human body state, for example, the standard voltage value of the human body state is 5V, and the calculated state value of a certain frame is 4.9V, so that the human body state corresponding to the frame can be considered as the human body state. In practical applications, the preset human body state includes, but is not limited to, the following states: body motion state, thoracic activity state, cardiac rhythm activity state, and the like.
Here, the embodiment of the present invention analyzes and processes the echo signal in units of frames, and multiple echo signals may be received within one frame, for example, the time interval of one echo is 0.01s, and the time interval of one frame is 0.1s, so that the microwave antenna receives 10 echo signals within one frame. Meanwhile, the embodiment of the invention can comprise a plurality of groups of microwave antennas, so that each group of microwave antennas can receive echo signals, namely, a plurality of echoes can be generated in each frame, each echo corresponds to the echo signals of the plurality of groups of antennas, a voltage value matrix can be obtained after the echo signals generated by each echo are analyzed, and the voltage value matrix comprises voltage values respectively corresponding to the echo signals of the plurality of groups of microwave antennas.
According to the technical scheme provided by the embodiment of the invention, the echo signal generated in each frame is obtained, and the voltage value matrix generated by multiple echoes in each frame is based on, wherein each echo corresponds to one voltage value matrix, and the average voltage value in each echo is determined according to the voltage value matrix; calculating a state decision weight corresponding to each frame based on the average voltage values corresponding to all echoes and the voltage values corresponding to the spatial noise, determining the state value of each frame according to the state decision weight and the average voltage values, and comparing the state value of each frame with a standard value of a preset human body state so as to output the human body state corresponding to each frame; and finally, detecting the health state of the human body by using a pre-configured decision rule according to a series of human body states generated in a preset time. The invention can judge the human body states corresponding to different frames based on the analysis of the voltage value of the echo signal of the microwave antenna, and realize the detection of the human body health state based on the human body states corresponding to the continuous frames, thereby accurately identifying the different human body health states and improving the application range of the detection of the human body vital signs by utilizing the microwaves.
In some embodiments, after acquiring the echo signals generated in the preset continuous frames, the method further comprises: and performing a signal amplification operation on the received echo signal by using a microwave amplifier, and performing a noise filtering operation on the echo signal after the signal amplification by using a microwave filter, wherein the echo signal after the noise filtering is taken as an analysis object.
Specifically, since the energy of the echo signal returned to the microwave antenna may be relatively low and the returned echo signal cannot be directly analyzed, it is necessary to amplify the received echo signal by a microwave amplifier, and since multipath noise or gaussian noise is generated when the electromagnetic wave is ejected in the space, it is necessary to perform noise filtering on the echo signal after the signal amplification by a microwave filter after the echo signal is amplified. Here, the conventional technical solutions may be adopted for both signal amplification by the microwave amplifier and noise filtering by the microwave filter, so that the embodiments of the present invention do not describe the principle and specific implementation process of signal amplification and noise filtering, and all methods capable of implementing signal amplification and noise filtering on echo signals are applicable to this scheme.
In some embodiments, the echo signals include echo signals received by multiple sets of microwave antennas, respectively; analyzing a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, comprising: each group of microwave antennas receives echo signals reflected by multiple times of space in each frame, and the voltage value corresponding to each echo signal is determined according to the peak information corresponding to the echo signal reflected by each microwave; generating a voltage value matrix corresponding to each microwave reflection according to the voltage value corresponding to each group of microwave antennas, and performing normalization processing on the voltage value matrix to obtain an average voltage value corresponding to each microwave reflection of a plurality of groups of microwave antennas; wherein the microwaves emitted by each group of microwave antennas have different wavelengths and frequencies.
Specifically, the embodiment of the present invention may include multiple sets of microwave antennas, each set of microwave antennas transmits electromagnetic waves and receives echo signals separately, and each set of microwave antennas may use different wave bands and frequencies, that is, electromagnetic waves with microwave frequencies between 300MHz and 300GHz may be used. In practical applications, since multiple reflections and backreturns may occur within a time interval of one frame, each group of microwave antennas corresponds to one voltage value during each time of the backreturn, that is, each group of microwave antennas corresponds to one voltage value matrix during each time of the backreturn of the electromagnetic wave signal.
The following describes the process of generating the average voltage value based on each echo in each frame with reference to the accompanying drawings, and fig. 3 is a schematic diagram of a waveform formed by the average voltage value generated in one frame in a practical application scenario according to the embodiment of the present invention. As shown in fig. 3, the specific process of forming the waveform by the average voltage value generated in the frame may include:
the voltage value of the echo signal is determined based on the amplitude corresponding to the wave pattern of the echo signal, and the information feedback received by the microwave antenna (i.e. the echo signal) generates different amplitudes and frequencies, wherein the amplitude is represented by the amplitude in the wave pattern of the echo signal, i.e. the intensity relationship represented by the value V, and the frequency represents the generation period of each echo signal. For example: assuming that there are four groups of microwave antennas, voltage values of echo signals corresponding to the four groups of microwave antennas in echoes of a microwave antenna are respectively 3V, 2V, 5V and 8V, the voltage values of the four groups of microwave antennas form a voltage value matrix, an average voltage value generated by the four groups of microwave antennas during the microwave reflection at this time is obtained by performing normalization processing on the voltage value matrix, that is, calculating an average value corresponding to all the voltage values in the voltage value matrix, and continuing the above embodiment, the average voltage value calculated at this time is 4.5V.
H in FIG. 301～H06Representing the average voltage value, i.e. H, corresponding to 6 echoes of a frame01When echo is generated for the first time in the frame, the average voltage value calculated according to the voltage values corresponding to the multiple groups of microwave antennas is expressed, and H is the same06When the echo is generated for the sixth time, the average voltage value is calculated according to the voltage values corresponding to the multiple groups of microwave antennas; the average voltage values corresponding to all echoes in a frame are represented by a wave pattern by calculating the average voltage value corresponding to each echo of a plurality of groups of microwave antennas in the frame.
According to the technical scheme provided by the embodiment of the invention, the average value of the voltage values corresponding to the multiple groups of microwave antennas when each echo is generated in each frame is calculated, and the echo with the maximum average voltage value corresponding to the peak can be obtained according to the average voltage values generated by all echoes in the frame. Because the wave mode can be deviated differently under different human body behavior states, the corresponding behavior state of each current frame is analyzed through the echo signal, so that the human body health state under continuous frames can be judged on the basis of the behavior state of each frame.
In some embodiments, determining the state decision weight corresponding to the signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise includes: extracting spatial noise from echo signals of multiple spatial reflections received by multiple groups of microwave antennas in each frame, and determining a voltage value corresponding to the spatial noise according to signal waves corresponding to the echo signals; calculating a state decision weight corresponding to the signal wave of each frame according to an average voltage value corresponding to a plurality of microwave reflections of the microwave antennas in each frame and a voltage value corresponding to the space noise in each frame; the space noise includes multipath noise and gaussian noise generated when the microwave is ejected in the space.
Specifically, the spatial noise refers to an overall noise generated in one frame due to the spatial reflection of microwaves and the mutual interference between microwave antennas, that is, the spatial noise represents the noise generated in the echo process, and the state decision weight corresponding to the signal wave of each frame is calculated by increasing the spatial noise, so that the result of the state decision weight can reflect the phenomenon generated in the physical space. Since the spatial noise is reflected in the echo signal as some glitch or oscillation, the voltage value of the spatial noise may be determined based on the amplitude corresponding to the oscillation wave in the echo signal.
Further, after the average voltage value corresponding to each frame and the voltage value of the spatial noise corresponding to each frame of the multiple groups of microwave antennas calculated based on the foregoing embodiment, the following formula may be used to calculate the state decision weight corresponding to the signal wave of each frame:
Figure DEST_PATH_IMAGE001
wherein the content of the first and second substances,
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indicating the state decision weight corresponding to a certain frame signal wave,
Figure DEST_PATH_IMAGE003
represents the average voltage value corresponding to a plurality of microwave reflections in a certain frame,
Figure DEST_PATH_IMAGE004
indicating the maximum number of microwave reflections within a certain frame,
Figure DEST_PATH_IMAGE005
representing the voltage value corresponding to the spatial noise within a certain frame.
It should be noted that, when actually calculating the state decision weight corresponding to each frame of signal wave, the voltage value of the spatial noise may not be considered, and only the average voltage value corresponding to each echo in each frame needs to be calculated, and the value of the state decision weight may be represented by a percentage.
In some embodiments, calculating the state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal includes: and determining the maximum average voltage value according to the average voltage value corresponding to multiple microwave reflections in each frame, and taking the product of the state decision weight corresponding to the signal wave of each frame and the maximum average voltage value of the same frame as the state value of the frame.
Specifically, after obtaining the average voltage value corresponding to each echo in each frame, all the average voltage values are put together for comparison, the maximum average voltage value is selected, and the state decision weight obtained by the previous calculation is multiplied by the maximum average voltage value to obtain a specific voltage value. For example: a total of 5 echoes are generated in a certain frame, the average voltage value corresponding to each echo is 5.3V, 5.8V, 6.2V, 5.7V and 5.5V, respectively, then the maximum average voltage value corresponding to the frame is 6.2V, and assuming that the state decision weight is 0.7, the state value corresponding to the frame is 4.34V.
In some embodiments, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to the comparison result includes: sequentially comparing the state value corresponding to each frame with the standard value of the preset human body state, and taking the preset human body state corresponding to the standard value meeting the preset requirement in the comparison result as the human body state corresponding to the frame; the preset requirements comprise that the difference value between the state value and the standard value is within a certain threshold range, and the preset human body state comprises a body movement state, a thoracic cavity activity state and a heart rhythm activity state.
Specifically, after the state value corresponding to each frame is calculated, the state value of each frame is compared with the standard values, that is, the state value is closer to which standard value, and the closer the state value is to which standard value, the closer the human body state corresponding to the frame is to the preset human body state corresponding to which standard value. The term "close to a numerical value" means that the state value is within a certain fluctuation range of the standard value, that is, the difference between the state value and the standard value is within a certain threshold range, for example, the fluctuation range is 10% of the standard value, and the difference between the state value and the standard value is only within 10% of the standard value.
Further, in one embodiment, if used, the
Figure DEST_PATH_IMAGE006
To indicate the state of a human body corresponding to a certain frame
Figure DEST_PATH_IMAGE007
Representing the basic data (i.e. voltage standard value) corresponding to each preset state by comparing the state value of a certain frame with that of the voltage standard value
Figure 9207DEST_PATH_IMAGE007
The relationship between can be obtained
Figure 213923DEST_PATH_IMAGE006
The output result of (1); in practical applications, for example: the voltage standard values respectively corresponding to the body movement state, the thoracic cavity activity state and the heart rhythm activity state
Figure 412823DEST_PATH_IMAGE007
5V, 3V and 2V, and the state value corresponding to a frame is 4.3V, it is obvious that the state value corresponding to the frame is closer to the standard value of 3V, and therefore, it can be determined that the human body state corresponding to the frame is the chest activity state, i.e. the state of the human body corresponding to the frame is the chest activity state
Figure 81702DEST_PATH_IMAGE006
The corresponding output result is a digital representation corresponding to the activity state of the thoracic cavity.
In some embodiments, after determining the human body state corresponding to each frame according to the comparison result, the method further includes: and respectively coding the human body state corresponding to each frame, and storing the codes of the human body states corresponding to the continuous frames within the preset time, wherein the coding of the human body states comprises representing the human body states in a digital square wave mode.
Specifically, each preset human body state corresponds to a code, for example, the code corresponding to the body movement state is 10, the code corresponding to the chest cavity activity state is 11, and the code corresponding to the heart rhythm activity state is 01; the coding of the human body state corresponding to each frame is expressed in the form of digital square waves. The digital square waves corresponding to the codes of the three preset human body states are described below with reference to fig. 4, fig. 5 and fig. 6, where fig. 4 is a schematic diagram of the digital square waves corresponding to the codes of the body motion states provided by the embodiment of the present invention, fig. 5 is a schematic diagram of the digital square waves corresponding to the codes of the thoracic cavity activity states provided by the embodiment of the present invention, and fig. 6 is a schematic diagram of the digital square waves corresponding to the codes of the heart rhythm activity states provided by the embodiment of the present invention. As shown in fig. 4 to 6, the encoding process of the human body state may include:
the different preset human body states correspond to different codes, the codes of each human body state are transmitted in a digital square wave mode according to the codes of the different human body states, namely the human body states are coded according to the human body states corresponding to each frame determined through calculation to generate digital square waves, and a horizontal axis T in the attached drawing represents the time of the frames corresponding to the human body states in the whole process. In practical application, the process of judging the human body state corresponding to each frame and generating the digital square waves based on the judgment result is realized in a signal analysis unit of the radar module, and the signal analysis unit sequentially sends the digital square waves corresponding to each frame to a temporary storage unit of the processing module for storage.
In some embodiments, the determining the health status of the human body according to the human body status corresponding to the continuous frames within the preset time and the pre-configured decision rule includes: drawing the digital square waves of the human body state corresponding to the continuous frames on the same time axis according to the stored digital square waves of the human body state corresponding to the continuous frames within the preset time, and judging the digital square waves corresponding to the continuous frames on the time axis according to a preset decision rule to obtain a result of judging the human body health state; the pre-configured decision rule is used for judging the human body state continuously represented by the digital square waves on the time axis according to the digital square waves corresponding to the continuous frames.
Specifically, the temporary storage unit can store digital square waves corresponding to continuous frames within a certain preset time, and each digital square wave corresponds to a human body state, so that after temporary storage for a certain preset time, a continuous digital square wave can be sorted out. The signal analysis unit sends the state information corresponding to each frame to the temporary storage unit for data storage and accumulation, and variation statistics of continuous human body states within a certain preset time is formed. And then, analyzing the codes of the continuous human body state with the duration corresponding to the preset time by the core processing unit so as to judge the human body health state.
Further, the following describes a process of determining a health status of a human body according to human body statuses corresponding to consecutive frames within a preset time with reference to the accompanying drawings, and fig. 7 is a schematic diagram of digital square waves encoded by human body statuses corresponding to consecutive frames within a preset time according to an embodiment of the present invention. As shown in fig. 7, the process of determining the health status of the human body may include:
the digital square waves corresponding to the continuous frames within the preset time (for example, within 3 s) are placed on the same time axis to form the digital square waves corresponding to the continuous frames within the preset time, the digital square waves corresponding to the continuous frames can represent the change of the human body state within the preset time, if there are ten continuous frames in the preset time, the first frame is a body movement state, the second frame to the sixth frame are chest activity states, the seventh frame is a heart rate activity state, the eighth frame and the ninth frame are body movement states, and the tenth frame is a heart rate activity state, based on the analysis of the change of the human body state of the continuous frames, the health state of the human body within the preset time can be further judged.
In some embodiments, the pre-configured decision rule comprises: when the number of digital square waves used for representing the body motion state in the digital square waves corresponding to the continuous frames is larger than a preset threshold value, judging that the human health state in a preset time is a first health state; when the number of digital square waves used for representing the thoracic cavity activity state or the heart rhythm activity in the digital square waves corresponding to the continuous frames is smaller than a preset threshold value, judging that the human health state in a preset time is a second health state; and when the digital square waves used for representing the body motion state, the thoracic cavity activity state and the heart rhythm activity in the digital square waves corresponding to the continuous frames are irregularly arranged, judging that the health state of the human body within the preset time is a third health state.
Specifically, the pre-configured decision rule is used for analyzing the health state of the human body according to the change of the human body state presented by the digital square waves corresponding to the continuous frames, different detected objects or the same detected object can present different state changes in different time, and the human body health state represented by the different state changes can be known based on the research on the rules of the different human body state changes. For example, if a certain detected object has a body movement state for 3 times or more within 10s, it can be determined that the sleep quality of the detected object is poor; for another example, when the number of occurrences of the chest activity state of a certain detected subject within 10s is less than a preset threshold, it can be determined that the vital sign of the detected subject is weak; for another example, if the movement state and the thoracic activity state of a certain detected object alternately appear within 10s and the number of occurrences is irregular, it can be determined that there is a problem between the breathing and the sleeping of the detected object.
Further, the decision rule may be configured according to the actual usage scenario and the definitions of different human health states, for example, in the embodiment of the present invention, but not limited to, the following decision rules are included:
the method comprises the steps that according to a decision rule I, when the number of digital square waves representing the body motion state is larger than a preset threshold value, the health state of a human body in a preset time is judged to be a first health state; that is, when the human body state of multiple body movements of the detected object occurs within the preset time, it indicates that the detected object is in the first health state, and the first health state may be considered as a state with poor sleep quality.
According to a decision rule II, when the number of digital square waves used for representing the thoracic cavity activity state or the heart rhythm activity in the digital square waves corresponding to the continuous frames is smaller than a preset threshold value, judging that the human health state in a preset time is a second health state; that is, when the number of times of breathing and heartbeat of the detected subject in the preset time is lower than the preset number threshold, it indicates that the detected subject is in the second health state, and the second health state may be considered as a state with poor breathing quality or weak vital signs.
A third decision rule, when the digital square waves used for representing the body motion state, the thoracic cavity activity state and the heart rhythm activity in the digital square waves corresponding to the continuous frames are irregularly arranged, judging that the human health state in the preset time is a third health state; that is, when the breathing and the body movement of the detected object exhibit irregular state changes within the preset time, it indicates that the detected object is in a third health state, and the third health state may be regarded as a state in which the breathing and the behavior are unstable during the sleep.
According to the technical scheme provided by the embodiment of the invention, the electromagnetic waves are transmitted to the preset space, the echo signals are continuously received through a plurality of groups of microwave antennas, the average voltage value corresponding to each echo is calculated, the state decision weight corresponding to each frame signal is determined according to a plurality of average voltage values generated in each frame in a continuous frame, the state value corresponding to each frame is solved according to the state decision weight of each frame, the human body state corresponding to each frame can be determined based on the comparison between the state value of each frame and the standard value of the preset human body state, and finally the health state of the human body in a certain time can be judged based on the analysis of the human body state change of the continuous frame. The invention carries out high-precision human body state analysis through electromagnetic waves, realizes dynamic human body state judgment, can detect the change state of the thoracic cavity and realizes the recognition of the human body breathing state; by analyzing the change of the human behavior state, the judgment of the sleep quality, the respiratory quality and the behavior quality of the human body can be further realized, the tested object is assisted to carry out health management, and the application range of detecting the vital signs of the human body by utilizing microwaves is expanded.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Fig. 8 is a schematic structural diagram of a human health status detection apparatus according to an embodiment of the present invention. As shown in fig. 8, the human health status detection apparatus includes:
an obtaining module 801 configured to obtain an echo signal generated in a preset continuous frame, where the echo signal is a signal wave reflected back after a microwave is emitted into a predetermined space by using a microwave antenna, and the continuous frame represents a plurality of continuous time intervals;
an analysis module 802 configured to analyze a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determine a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise;
a comparing module 803, configured to calculate a state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal, compare the state value corresponding to each frame with a standard value of a preset human body state, and determine a human body state corresponding to each frame according to a comparison result;
the judging module 804 is configured to judge the health status of the human body according to the human body status corresponding to the continuous frames within the preset time and a pre-configured decision rule, so as to detect the health status of the human body according to the judgment result.
In some embodiments, the gain module 805 of fig. 8 performs a signal amplification operation on the received echo signal by using a microwave amplifier after acquiring the echo signal generated in the preset continuous frame, and performs a noise filtering operation on the signal-amplified echo signal by using a microwave filter, and takes the noise-filtered echo signal as an analysis object.
In some embodiments, the echo signals include echo signals respectively received by multiple groups of microwave antennas, the analysis module 802 in fig. 8 receives echo signals of multiple spatial reflections by each group of microwave antennas in each frame, and determines a voltage value corresponding to each echo signal according to peak information corresponding to the echo signal of each microwave reflection; generating a voltage value matrix corresponding to each microwave reflection according to the voltage value corresponding to each group of microwave antennas, and performing normalization processing on the voltage value matrix to obtain an average voltage value corresponding to each microwave reflection of a plurality of groups of microwave antennas; wherein the microwaves emitted by each group of microwave antennas have different wavelengths and frequencies.
In some embodiments, the parsing module 802 of fig. 8 extracts spatial noise from the echo signals of multiple spatial reflections received by multiple groups of microwave antennas in each frame, and determines a voltage value corresponding to the spatial noise according to the signal waves corresponding to the echo signals; calculating a state decision weight corresponding to the signal wave of each frame according to an average voltage value corresponding to a plurality of microwave reflections of the microwave antennas in each frame and a voltage value corresponding to the space noise in each frame; the space noise includes multipath noise and gaussian noise generated when the microwave is ejected in the space.
In some embodiments, the following formula is used to calculate the state decision weight corresponding to the signal wave of each frame:
Figure DEST_PATH_IMAGE008
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE009
indicating the state decision weight corresponding to a certain frame signal wave,
Figure DEST_PATH_IMAGE010
represents the average voltage value corresponding to a plurality of microwave reflections in a certain frame,
Figure DEST_PATH_IMAGE011
indicating the maximum number of microwave reflections within a certain frame,
Figure DEST_PATH_IMAGE012
representing the voltage value corresponding to the spatial noise within a certain frame.
In some embodiments, the comparing module 803 of fig. 8 determines the maximum average voltage value according to the average voltage values corresponding to multiple microwave reflections within each frame, and takes the product of the state decision weight corresponding to the signal wave of each frame and the maximum average voltage value of the same frame as the state value of the frame.
In some embodiments, the comparing module 803 of fig. 8 sequentially compares the state value corresponding to each frame with the standard value of the preset human body state, and takes the preset human body state corresponding to the standard value meeting the preset requirement in the comparison result as the human body state corresponding to the frame; the preset requirements comprise that the difference value between the state value and the standard value is within a certain threshold range, and the preset human body state comprises a body movement state, a thoracic cavity activity state and a heart rhythm activity state.
In some embodiments, the comparing module 803 of fig. 8, after determining the human body state corresponding to each frame according to the comparison result, respectively encode the human body state corresponding to each frame, and store the human body state codes corresponding to consecutive frames within a preset time, where the encoding of the human body state includes representing the human body state in the form of a digital square wave.
In some embodiments, the determining module 804 in fig. 8 draws the digital square waves in the human body states corresponding to the consecutive frames on the same time axis according to the stored digital square waves in the human body states corresponding to the consecutive frames within the preset time, and determines the digital square waves corresponding to the consecutive frames on the time axis according to a pre-configured decision rule to obtain a result of determining the health state of the human body; the pre-configured decision rule is used for judging the human body state continuously represented by the digital square waves on the time axis according to the digital square waves corresponding to the continuous frames.
In some embodiments, the pre-configured decision rule comprises: when the number of digital square waves used for representing the body motion state in the digital square waves corresponding to the continuous frames is larger than a preset threshold value, judging that the human health state in a preset time is a first health state; when the number of digital square waves used for representing the thoracic cavity activity state or the heart rhythm activity in the digital square waves corresponding to the continuous frames is smaller than a preset threshold value, judging that the human health state in a preset time is a second health state; and when the digital square waves used for representing the body motion state, the thoracic cavity activity state and the heart rhythm activity in the digital square waves corresponding to the continuous frames are irregularly arranged, judging that the health state of the human body within the preset time is a third health state.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 9 is a schematic structural diagram of an electronic device 9 according to an embodiment of the present invention. As shown in fig. 9, the electronic apparatus 9 of this embodiment includes: a processor 901, a memory 902 and a computer program 903 stored in the memory 902 and operable on the processor 901. The steps in the various method embodiments described above are implemented when the processor 901 executes the computer program 903. Alternatively, the processor 901 implements the functions of each module/unit in each apparatus embodiment described above when executing the computer program 903.
Illustratively, the computer program 903 may be divided into one or more modules/units, which are stored in the memory 902 and executed by the processor 901 to implement the present invention. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 903 in the electronic device 9.
The electronic device 9 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 9 may include, but is not limited to, a processor 901 and a memory 902. Those skilled in the art will appreciate that fig. 9 is merely an example of the electronic device 9, and does not constitute a limitation of the electronic device 9, and may include more or less components than those shown, or combine certain components, or different components, for example, the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 901 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 902 may be an internal storage unit of the electronic device 9, for example, a hard disk or a memory of the electronic device 9. The memory 902 may also be an external storage device of the electronic device 9, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the electronic device 9. Further, the memory 902 may also include both an internal storage unit of the electronic device 9 and an external storage device. The memory 902 is used for storing computer programs and other programs and data required by the electronic device. The memory 902 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, a division of modules or units, a division of logical functions only, an additional division may be made in actual implementation, multiple units or components may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by the present invention, and the computer program can be stored in a computer readable storage medium to instruct related hardware, and when the computer program is executed by a processor, the steps of the method embodiments described above can be realized. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (13)

1. A human health state detection method is characterized by comprising the following steps:
acquiring echo signals generated in a preset continuous frame, wherein the echo signals are signal waves reflected back after microwave is emitted into a preset space by using a microwave antenna, and the continuous frame represents a plurality of continuous time intervals;
analyzing a plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determining a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise;
calculating to obtain a state value corresponding to each frame according to the state decision weight and a voltage value corresponding to the echo signal, comparing the state value corresponding to each frame with a standard value of a preset human body state, and determining the human body state corresponding to each frame according to a comparison result;
and judging the health state of the human body according to the human body state corresponding to the continuous frames within the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result.
2. The method of claim 1, wherein after said acquiring echo signals generated within a predetermined succession of frames, the method further comprises:
and performing a signal amplification operation on the received echo signal by using a microwave amplifier, and performing a noise filtering operation on the echo signal after signal amplification by using a microwave filter, wherein the echo signal after noise filtering is taken as an analysis object.
3. The method of claim 1, wherein the echo signals comprise echo signals respectively received by a plurality of sets of microwave antennas; the analyzing the plurality of echo signals generated in each frame to obtain a voltage value corresponding to each echo signal includes:
each group of microwave antennas receives echo signals reflected by multiple times of space in each frame, and the voltage value corresponding to each echo signal is determined according to the peak information corresponding to the echo signal reflected by each microwave;
generating a voltage value matrix corresponding to each microwave reflection according to the voltage value corresponding to each group of microwave antennas, and performing normalization processing on the voltage value matrix to obtain an average voltage value corresponding to each microwave reflection of the multiple groups of microwave antennas;
wherein the microwaves emitted by each set of microwave antennas have different wavelengths and frequencies.
4. The method according to claim 3, wherein the determining the state decision weight corresponding to the signal wave of each frame according to the voltage value corresponding to the echo signal and the voltage value corresponding to the spatial noise comprises:
extracting spatial noise from echo signals of multiple spatial reflections received by the multiple groups of microwave antennas in each frame, and determining a voltage value corresponding to the spatial noise according to signal waves corresponding to the echo signals;
calculating a state decision weight corresponding to the signal wave of each frame according to an average voltage value corresponding to the multiple microwave reflections of the multiple groups of microwave antennas in each frame and a voltage value corresponding to the space noise in each frame;
the space noise comprises multipath noise and Gaussian noise generated when microwaves are ejected in the space.
5. The method according to claim 4, wherein the state decision weight corresponding to the signal wave of each frame is calculated by using the following formula:
Figure 922222DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 777046DEST_PATH_IMAGE002
indicating the state decision weight corresponding to a certain frame signal wave,
Figure 556783DEST_PATH_IMAGE003
represents the average voltage value corresponding to a plurality of microwave reflections in a certain frame,
Figure 889675DEST_PATH_IMAGE004
indicating the maximum number of microwave reflections within a certain frame,
Figure 704048DEST_PATH_IMAGE005
representing the voltage value corresponding to the spatial noise within a certain frame.
6. The method according to claim 4, wherein the calculating the state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal comprises:
and determining the maximum average voltage value according to the average voltage value corresponding to the microwave reflection in each frame, and taking the product of the state decision weight corresponding to the signal wave of each frame and the maximum average voltage value of the same frame as the state value of the frame.
7. The method according to claim 1, wherein the comparing the state value corresponding to each frame with a standard value of a preset human body state and determining the human body state corresponding to each frame according to the comparison result comprises:
sequentially comparing the state value corresponding to each frame with a standard value of a preset human body state, and taking the preset human body state corresponding to the standard value meeting preset requirements in the comparison result as the human body state corresponding to the frame;
the preset requirement comprises that the difference value between the state value and the standard value is within a certain threshold range, and the preset human body state comprises a body movement state, a thoracic cavity activity state and a heart rhythm activity state.
8. The method according to claim 1, wherein after the determining the corresponding human body state of each frame according to the comparison result, the method further comprises:
and respectively coding the human body state corresponding to each frame, and storing the codes of the human body states corresponding to the continuous frames within the preset time, wherein the coding of the human body states comprises representing the human body states in a digital square wave form.
9. The method according to claim 8, wherein the determining the health status of the human body according to the human body status corresponding to the consecutive frames within the preset time and a pre-configured decision rule comprises:
drawing the digital square waves of the human body state corresponding to the continuous frames on the same time axis according to the stored digital square waves of the human body state corresponding to the continuous frames within the preset time, and judging the digital square waves corresponding to the continuous frames on the time axis according to the preset decision rule to obtain a result of judging the human body health state;
and the pre-configured decision rule is used for judging the human body state continuously represented by the digital square waves on the time axis according to the digital square waves corresponding to the continuous frames.
10. The method of claim 9, wherein the preconfigured decision rule comprises:
when the number of the digital square waves used for representing the body motion state in the digital square waves corresponding to the continuous frames is larger than a preset threshold value, judging that the human health state in the preset time is a first health state;
when the number of the digital square waves used for representing the thoracic cavity activity state or the heart rhythm activity in the digital square waves corresponding to the continuous frames is smaller than a preset threshold value, judging that the human health state in the preset time is a second health state;
and when the digital square waves used for representing the body motion state, the thoracic cavity activity state and the heart rhythm activity in the digital square waves corresponding to the continuous frames are irregularly arranged, judging that the human health state in the preset time is a third health state.
11. A human health status detection apparatus, comprising:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is configured to acquire echo signals generated in preset continuous frames, the echo signals are signal waves reflected back after microwave waves are emitted into a preset space by using a microwave antenna, and the continuous frames represent a plurality of continuous time intervals;
the analysis module is configured to analyze the echo signals generated in each frame to obtain a voltage value corresponding to each echo signal, and determine a state decision weight corresponding to a signal wave of each frame according to the voltage value corresponding to the echo signal and a voltage value corresponding to spatial noise;
the comparison module is configured to calculate a state value corresponding to each frame according to the state decision weight and the voltage value corresponding to the echo signal, compare the state value corresponding to each frame with a standard value of a preset human body state, and determine the human body state corresponding to each frame according to a comparison result;
and the judging module is configured to judge the health state of the human body according to the human body state corresponding to the continuous frames within the preset time and a preset decision rule so as to detect the health state of the human body according to a judgment result.
12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 10 when executing the program.
13. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 10.
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