CN113693582B

CN113693582B - Method and device for monitoring vital sign information, storage medium and processor

Info

Publication number: CN113693582B
Application number: CN202110867181.8A
Authority: CN
Inventors: 王泽涛; 丁玉国; 董明; 吴昊; 饶玮
Original assignee: Beijing Qinglei Technology Co ltd
Current assignee: Beijing Qinglei Technology Co ltd
Priority date: 2021-07-29
Filing date: 2021-07-29
Publication date: 2023-11-24
Anticipated expiration: 2041-07-29
Also published as: CN113693582A

Abstract

The application discloses a vital sign information monitoring method and device, a storage medium and a processor. The method comprises the following steps: the method comprises the steps of collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; and monitoring vital sign information of the target object by utilizing a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object. The application solves the problem of poor monitoring effect on vital sign information in the related technology.

Description

Method and device for monitoring vital sign information, storage medium and processor

Technical Field

The application relates to the technical field of information processing, in particular to a vital sign information monitoring method and device, a storage medium and a processor.

Background

Currently, with the continuous improvement of the medical technology level, modern people are paying more attention to their health. The vital sign data of the human body in the sleep state contains rich information, and the method has important significance in monitoring the vital sign data: on one hand, vital sign data can directly reflect the health condition of a person; on the other hand, through deep mining on vital sign data accumulated for a long time, potential disease early warning and treatment effect evaluation can be realized.

However, in the related art, the traditional vital sign monitoring instrument mainly detects vital sign data of a human body through contact sensors such as light, electricity and pressure, and the like, and the sensors need to be in contact with the human body, so that discomfort of a user is easily caused, and long-term monitoring is inconvenient. The millimeter wave radar sensor can detect weak motions of all parts of the human body under the condition of not contacting the human body by receiving electromagnetic waves reflected by the human body, so as to extract vital sign data. Compared with the traditional vital sign monitoring means, the millimeter wave radar has the advantages of non-contact, motion sensitivity, no invasion of privacy, small volume, low power consumption and the like, and is very suitable for long-term home monitoring.

In addition, the weak exercise of each part of the human body also contains rich vital sign information: the heart and lung activities of the human body cause the fluctuation of the chest wall, and the weak movements of the chest part can be detected by utilizing the millimeter wave radar to acquire information such as respiration rate, heart rate, breathing morphology and the like; the chest breathing and the abdominal breathing can be distinguished by comparing and analyzing weak motions of the chest and the abdomen of the human body; restless leg syndrome can be found by detecting the leg twitch condition of the human body during sleep stage. However, the vital sign monitoring method based on millimeter wave radar in the related art mainly aims at respiratory rate and heart rate estimation, and lacks full-range perception of vital signs of all parts of a human body.

Aiming at the problem of poor vital sign information monitoring effect in the related technology, no effective solution is proposed at present.

Disclosure of Invention

The application mainly aims to provide a method and a device for monitoring vital sign information, a storage medium and a processor, so as to solve the problem of poor effect on monitoring vital sign information in the related technology.

In order to achieve the above object, according to one aspect of the present application, there is provided a vital sign information monitoring method. The method comprises the following steps: collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; and monitoring vital sign information of the target object by using a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object.

Further, extracting the jog signal for each distance cell in the echo signal includes: processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; performing clutter suppression on the distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and accumulating the distance dimension complex signals after clutter suppression through non-phase correlation to obtain a fast-scale one-dimensional distance image; extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using distance dimension complex data after clutter suppression; and extracting the phase of the distance dimension complex signal of each frame of the target Chirp index, and unwrapping the phase signal of each distance unit along the frame time dimension to obtain an unwrapped phase signal, wherein the phase signal is a micro-motion signal extracted in a slow scale.

Further, clutter suppression is performed on the distance dimension complex signals of the plurality of chirps along the slow time dimension in each frame, and after the distance dimension complex signals after clutter suppression are accumulated through non-phase correlation to obtain a fast-scale one-dimensional distance image, the method further comprises: extracting the energy of echo signals reflected by the target object at each frame moment by using the fast-scale one-dimensional range profile; and judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

Further, the target monitoring device is a radar, after extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression, the method further comprises: positioning the chest position of the target object by using the slow-scale one-dimensional range profile; determining the corresponding relation between the chest position and a distance unit of the radar; and evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the chest of the target object is not included in the target part.

Further, after determining the correspondence of the chest position to the distance bin of the radar, the method further comprises: when the target object is in a stable state, selecting a distance unit of the radar corresponding to the chest position of the target object from the chromatographic spectrum of the micro-motion signal to perform peak search along a frequency axis, so as to obtain a search result; and processing the search result to obtain the respiration rate of the target object.

Further, if the target portion is an abdomen, after estimating a correspondence between the target portion of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further includes: when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal; when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the inching signal; and judging whether the target object is chest respiration or abdomen respiration by comparing the energy of the spectral peak of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

Further, if the target portion is a leg portion, after estimating a correspondence between the target portion of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further includes: and detecting whether the target object has the phenomenon of restless legs or not by analyzing the frequency spectrum characteristics of the distance units of the radar corresponding to the legs in the chromatographic spectrum of the micro-motion signal.

Further, performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal includes: filtering the micro-motion signal of each distance unit along the frame time dimension to obtain a micro-motion signal after filtering of each distance unit; and carrying out spectrum analysis on the micro-motion signals filtered by each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

Further, acquiring, by the target monitoring device, echo signals of the target object in the sleep state includes: a frequency modulated continuous wave signal transmitted by the target monitoring device; echo signals reflected by the target object received by the target monitoring device; mixing the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal; and processing the difference frequency signal to obtain a digitized echo signal.

In order to achieve the above object, according to another aspect of the present application, there is provided a vital sign information monitoring device. The device comprises: the first acquisition unit is used for acquiring echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; the first extraction unit is used for extracting micro-motion signals from each distance unit in the echo signals; the first analysis unit is used for carrying out spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; the first monitoring unit is used for monitoring vital sign information of the target object by utilizing a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object.

Further, the first extraction unit includes: the first processing module is used for processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; the second processing module is used for carrying out clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and obtaining a fast-scale one-dimensional distance image through non-coherent accumulation on the distance dimension complex signals after clutter suppression; the third processing module is used for extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression; and a fourth processing module, configured to extract a phase of the distance dimension complex signal of each frame of the target Chirp index, and unwind the phase signal of each distance unit along a frame time dimension to obtain an unwound phase signal, where the phase signal is a micro-motion signal extracted at a slow scale.

Further, the apparatus further comprises: the second extraction unit is used for carrying out clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and extracting the energy of the echo signal reflected by the target object at each frame moment by using the fast dimension one-dimensional distance image after the distance dimension complex signals after clutter suppression are accumulated through non-phase parameters to obtain the fast dimension one-dimensional distance image; and the first judging unit is used for judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

Further, the apparatus further comprises: the first positioning unit is used for the target monitoring equipment to be a radar, extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and positioning the chest position of the target object by using the slow dimension one-dimensional distance image after generating a slow dimension one-dimensional distance image by using the distance dimension complex data after clutter suppression; the first determining unit is used for determining the corresponding relation between the chest position and the distance unit of the radar; and the first evaluation unit is used for evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the target part does not comprise the chest of the target object.

Further, the apparatus further comprises: the first search unit is used for selecting the distance unit of the radar corresponding to the chest position of the target object from the chromatographic spectrum of the micro-motion signal to perform peak value search along a frequency axis when the target object is in a stable state after the corresponding relation between the chest position and the distance unit of the radar is determined, so as to obtain a search result; and the first processing unit is used for processing the search result to obtain the respiration rate of the target object.

Further, the apparatus further comprises: a third extraction unit, configured to, if the target portion is an abdomen, extract, when the target object is in a stationary state after evaluating a correspondence between the target portion of the target object and a distance unit of the radar according to installation height information of the target monitoring device and height information of the target object, a peak energy of the distance unit of the radar corresponding to a chest position of the target object in a chromatogram of the inching signal; a fourth extraction unit, configured to extract, when the target object is in a stationary state, a spectral peak energy of a distance unit of the radar corresponding to an abdomen position of the target object in a chromatogram of the inching signal; and the first comparison unit is used for judging whether the target object is chest respiration or abdomen respiration by comparing the peak energy of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

Further, the apparatus further comprises: and the second analysis unit is used for detecting whether the target object has an restless leg phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatographic spectrum of the inching signal after evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object if the target part is the leg.

Further, the first analysis unit includes: the fifth processing module is used for carrying out filtering processing on the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal of each distance unit after filtering; and the first analysis module is used for carrying out spectrum analysis on the micro-motion signals after the filtering of each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

Further, the first acquisition unit includes: the first transmitting module is used for transmitting the frequency modulation continuous wave signal through the target monitoring equipment; the first receiving module is used for receiving echo signals reflected by the target object through the target monitoring equipment; the sixth processing module is used for carrying out frequency mixing processing on the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal; and the seventh processing module is used for processing the difference frequency signal to obtain a digitized echo signal.

In order to achieve the above object, according to another aspect of the present application, there is provided a processor for running a program, wherein the program, when run, performs any one of the vital sign information monitoring methods described above.

In order to achieve the above object, according to another aspect of the present application, there is provided a storage medium including a stored program, wherein the program performs the vital sign information monitoring method of any one of the above.

According to the application, the following steps are adopted: the method comprises the steps of collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; and monitoring vital sign information of the target object by utilizing a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object, and the problem of poor effect on the vital sign information monitoring in the related technology is solved. Through adopting the radar monitoring equipment that need not target object dress, gather target object's echo signal to handle it, analysis, thereby monitor target object's vital sign information, when guaranteeing user experience, also guaranteed the accuracy and the wholeness of monitoring, and then promoted the vital sign information monitoring effect to the user.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the application and are not to be construed as limiting the application. In the drawings:

fig. 1 is a flowchart of a vital sign information monitoring method provided according to an embodiment of the present application;

FIG. 2 is a flow chart of radar echo preprocessing in an embodiment of the application;

FIG. 3 is a schematic diagram of a slow-scale one-dimensional range profile in an embodiment of the application;

FIG. 4 is a schematic representation of a micro-signal chromatogram of chest breathing in an embodiment of the application;

FIG. 5 is a schematic representation of a micro-signal chromatogram of abdominal breathing in an embodiment of the application;

FIG. 6 is a schematic diagram of a micro-signal chromatogram of an restless leg in an embodiment of the application;

FIG. 7 is a schematic diagram of mapping relation between distance units and each part of a target object in a millimeter wave radar micro-signal chromatographic spectrum in an embodiment of the application;

fig. 8 is a schematic diagram of the mounting manner of the millimeter wave radar device in the embodiment of the present application;

fig. 9 is a schematic diagram of a vital sign information monitoring device according to an embodiment of the present application.

Detailed Description

It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

According to an embodiment of the application, a vital sign information monitoring method is provided.

Fig. 1 is a flow chart of a vital sign information monitoring method according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:

step S101, acquiring echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object.

For example, the object monitoring device may be a millimeter wave radar. The millimeter wave radar device is arranged at the position, which is about 1 meter away from the bed surface, of the wall above the center of the bed head, and the installation angle of the millimeter wave device is adjusted, so that the millimeter wave radar beam is directed to the center of the bed surface. In addition, the millimeter wave radar emits a Frequency Modulation Continuous Wave (FMCW) signal, the signal modulation mode is saw tooth wave, and a plurality of Chirp emitted by the millimeter wave radar are formed into a frame. Mixing the echo signals received by the millimeter wave radar with the transmitting signals to obtain difference frequency signals, and carrying out high-pass filtering, low-noise amplification and ADC sampling processing on the difference frequency signals to finally obtain digitized echo signals.

Step S102, extracting micro-motion signals for each distance unit in the echo signals.

For example, the echo signal received in each Chirp is first dc-cut, then FFT-converted, and only the positive frequency portion is retained for the converted data, thereby obtaining a distance-dimension complex signal in each Chirp. And then extracting a distance dimension complex signal of a certain fixed Chirp index of each frame, performing clutter suppression on the distance dimension complex signal of the certain fixed Chirp index of each frame in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression. And then extracting the phase of a distance dimension complex signal of a certain fixed Chirp index of each frame, and unwrapping the phase signal of each distance unit along the frame time dimension to obtain an unwrapped phase signal, wherein the phase signal is the micro-motion signal extracted in a slow scale.

Step S103, spectrum analysis is carried out on the micro-motion signal, and a chromatographic spectrum of the micro-motion signal is obtained.

For example, to avoid interference of stronger low-frequency components in the micro-motion signals on subsequent processing, firstly, filtering processing is performed on the micro-motion signals of each distance unit along a frame time dimension, and then, spectrum analysis is performed on the micro-motion signals after filtering of each distance unit, so as to obtain chromatographic spectrums at different frame moments.

Step S104, monitoring vital sign information of the target object by utilizing a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object.

For example, when the target object is in a stable state, a distance unit corresponding to the chest is selected in the micro-motion signal chromatographic spectrum to perform peak search along a frequency axis, so as to obtain a respiration rate estimated value; the respiratory form of the target object can be detected by extracting the energy of the spectral peaks corresponding to the chest distance unit and the abdomen distance unit in the micro-motion signal chromatographic spectrum and comparing the difference of the energy of the spectral peaks of different parts, so as to judge whether the target object is in chest respiration or abdomen respiration; the phenomenon of restlessness can also be detected by analyzing the spectral characteristics of the leg distance units in the micro-motion signal chromatographic spectrum.

The steps S101 to S104 are shown in fig. 1, which is a method step diagram of the present invention.

Through the steps S101 to S104, the radar monitoring device which is not required to be worn by the target object is adopted, the echo signal of the target object is collected, the echo signal is processed and analyzed, vital sign information of the target object can be accurately monitored, so that user experience is improved, and further, the vital sign information monitoring effect of the user is improved.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, extracting the micro-motion signal for each distance unit in the echo signal includes: processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; performing clutter suppression on the distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and accumulating the distance dimension complex signals after clutter suppression through non-coherent to obtain a fast-scale one-dimensional distance image; extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using distance dimension complex data after clutter suppression; and extracting the phase of the distance dimension complex signal of each frame of target Chirp index, and unwrapping the phase signal of each distance unit along the frame time dimension to obtain an unwrapped phase signal, wherein the phase signal is a micro-motion signal extracted in a slow scale.

For example, the echo signals of the target object are preprocessed, and the micro-motion signal of each distance unit is extracted. As shown in fig. 2, the preprocessing process comprises four parts of fast time distance transformation, fast scale one-dimensional distance image generation, slow scale one-dimensional distance image generation and slow scale micro-motion signal extraction.

Wherein, the fast time distance transformation process comprises: firstly performing DC removal processing on echo signals received by each Chirp, then performing FFT conversion, and reserving only positive frequency parts on the converted data to obtain distance dimension complex signals x in each Chirp _n,m ＝[x _1,n,m ,...,x _r,n,m ,...,x _R,n,m ] ^T Where the superscript T denotes a matrix transpose operation, r=1, 2,..r denotes a distance unit index, n=1, 2,..n denotes a Chirp index, m=1,..m denotes a frame index.

The fast-scale one-dimensional distance image generation process comprises the following steps: firstly, performing slow time DC removal operation on distance dimension complex signals of N Chirp in one frame, namelyThen non-coherent power accumulation is carried out on the distance dimension complex signal after the slow time DC removal to obtain a one-dimensional distance image at the moment of the frame, namely +.>Wherein I.I ² Representing the pair vectorThe absolute value of each element is squared.

The slow-scale one-dimensional distance image generation process comprises the following steps: first extract the distance dimension complex signal x of the first Chirp of each frame _1,m Then clutter suppression is carried out in a frame time dimension, and a slow-scale one-dimensional range image r is generated by utilizing the distance dimension complex data after clutter suppression _m I.e.

The slow scale micro-motion signal extraction process comprises the following steps: first, the distance dimension complex signal x of the first Chirp of each frame is calculated ₁ , _m To obtain a phase signal vector a _m ＝angle(x _1,m ) Where angle (·) represents the phasing of each element in the complex vector. Then the phase signal vector is unwrapped along the frame time dimension to obtain the unwrapped phase signal vector z _m ＝unwrap(a _m ) Wherein unwrap (·) represents the unwrap operation, z _m ＝[z _1,m ,...z _r,m ,...,z _R,m ] ^T Namely, the inching signal vector at the m-th frame moment extracted in a slow scale.

Through the scheme, firstly, the echo signals in each chirp are processed to obtain distance dimension complex signals in each chirp, then the distance dimension complex signals in frames and between frames are processed to obtain a fast-scale one-dimensional distance image and a slow-scale one-dimensional distance image, finally, the phase of the distance dimension complex signals of a certain fixed chirp index of each frame is extracted, and then the phase signals of each distance unit are processed to obtain a slow-scale inching signal. By processing the collected echo signals of the target object, the micro-motion signals of each distance unit can be accurately extracted, and the follow-up spectrum analysis of the micro-motion signals is facilitated.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, clutter suppression is performed on distance dimension complex signals of multiple chirps along a slow time dimension in each frame, and after the distance dimension complex signals after clutter suppression are accumulated through non-coherent to obtain a fast-scale one-dimensional distance image, the method further includes: extracting the energy of the echo signal reflected by the target object at each frame moment by using the fast-scale one-dimensional range profile; and judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

For example, when the target object is in a sleep state, the target object does not always remain stationary, but there may be irregular body movements. Since body movement of a target subject may cause serious interference with vital sign signals, body movement detection is required. Therefore, the body movement detection can be performed by using the fast-scale one-dimensional range profile, and the specific method comprises the following steps: firstly, obtaining average power w in monitoring distance range of every frame time _m I.e.Wherein v is _r,m Representing a fast-scale one-dimensional range profile v _m The r element of (2), r ₁ And r ₂ The start and stop indexes of the distance unit corresponding to the monitoring distance range are respectively represented. Then utilize w _m Sliding window detection is carried out along a frame time dimension, the time length of the left window and the right window is 3 seconds, and the logarithmic counter of the ratio of the average power of the right window to the average power of the left window is gamma _m When |gamma _m Consecutive K frames below the threshold η ₁ And when the current frame time is considered, the target object is in a stable state, otherwise, the current frame time is considered, and the target object is in a body movement state.

Through the scheme, the body movement state of the target object is monitored, the vital sign information of the target object can be accurately monitored, and the interference to the vital sign information when the target object is in the body movement state is avoided, so that the monitoring accuracy is ensured.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, the target monitoring device is a radar, and after extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression, the method further includes: positioning the chest position of the target object by using the slow-scale one-dimensional range profile; determining the corresponding relation between the chest position and a distance unit of the radar; and evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the chest of the target object is not included in the target part.

For example, the body part of the target object is divided into four parts of the head, the chest, the abdomen and the legs, and when the target object is in a steady state, as shown in fig. 3, the strongest energy point in the slow-scale one-dimensional range profile generally corresponds to the chest position. According to the characteristics, the corresponding relation between the chest and the radar distance unit can be determined, and then the corresponding relation between the head, the abdomen and the legs of the target object and the radar distance unit can be estimated by utilizing the installation height information of the radar and the height information of the target object.

Through the steps, the vital sign information of each part of the target object can be conveniently and comprehensively perceived by constructing the mapping relation between the radar distance unit and each part of the target object. Thereby ensuring the comprehensiveness of the monitoring.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, after determining the correspondence between the chest position and the distance unit of the radar, the method further includes: when the target object is in a stable state, selecting a distance unit of a radar corresponding to the chest position of the target object from a chromatographic spectrum of the micro-motion signal to perform peak search along a frequency axis, so as to obtain a search result; and processing the search result to obtain the respiration rate of the target object.

For example, when the target object is in a stationary state, selecting J distance units corresponding to the chest in the micro-motion signal chromatographic spectrum, respectively carrying out peak search along a frequency axis, wherein the frequency search interval is 0.1 Hz-0.6 Hz, and averaging frequency values corresponding to the peak points of the J distance units to finally obtain the respiratory rate estimated value.

Through the steps, the respiration rate of the target object can be conveniently obtained by utilizing the micro-motion signal chromatographic spectrum, and further the respiration information of the target object can be accurately monitored.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, if the target location is an abdomen, after evaluating the correspondence between the target location of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further includes: when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the inching signal; when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the inching signal; and judging whether the target object is chest respiration or abdomen respiration by comparing the peak energy of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

For example, as shown in fig. 4 and 5, the target subject has a distinct difference in the micro-motion signal chromatograms under chest and abdominal respiration. Therefore, the respiration form of the target object can be detected by utilizing the micro-motion signal chromatography, and the specific method comprises the following steps: when the target object is in a stable state, extracting spectral peak energy E corresponding to a chest distance unit in the micro-motion signal chromatography _chest At the same time, the energy E of the spectrum peak corresponding to the abdomen distance unit is also extracted _abdomen Wherein the frequency intervals of the spectrum peak search are all 0.1 Hz-0.6 Hz, when log (E _chest /E _abdomen )＞η ₂ When judged as chest breathing, when log (E _chest /E _abdomen )＜η ₃ If the patient is judged to be breathing in the abdomen.

Through the steps, the breathing form of the target object can be conveniently obtained by utilizing the micro-motion signal chromatographic spectrum, and further, the breathing form of the target object can be accurately monitored.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, if the target portion is a leg, after the corresponding relationship between the target portion of the target object and the distance unit of the radar is estimated according to the installation height information of the target monitoring device and the height information of the target object, the method further includes: and detecting whether the target object has the phenomenon of uneasiness by analyzing the frequency spectrum characteristics of the distance units of the radar corresponding to the legs in the chromatographic spectrum of the micro-motion signal.

For example, as shown in fig. 6, when the target object has an restless leg phenomenon, the leg position in the micro-motion signal chromatogram may exhibit an obvious feature. Therefore, the restless leg phenomenon can be detected by utilizing the micro-motion signal chromatography, and the specific method comprises the following steps: selecting L distance units corresponding to legs in a micro-motion signal chromatographic spectrum, respectively carrying out peak search along a frequency axis, and then carrying out peak energy and threshold eta on each distance unit ₄ Comparing, the number of distance units exceeding the threshold is larger than eta ₅ And judging that the phenomenon of leg restlessness exists.

Through the steps, the phenomenon of restlessness of the target object can be conveniently detected by utilizing the micro-motion signal chromatographic spectrum.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, spectrum analysis is performed on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal, including: filtering the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal after filtering of each distance unit; and carrying out spectrum analysis on the micro-motion signals after filtering of each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

For example, the frame frequency of the FMCW signal emitted by the millimeter wave radar is 50Hz, and the frequency component of the signal of interest in the inching signal is lower than 10Hz, so that the inching signal of each distance unit is firstly extracted along the frame time dimension to obtain the inching signal with the frame frequency of 10 Hz. In order to avoid the interference of stronger low-frequency components in the inching signals on subsequent processing, the inching signals of each distance unit are filtered along the frame time dimension, the filter type adopted is an IIR band-pass filter, the order of the filter is 8, and the passband range is 0.1 Hz-5 Hz. And then performing short-time Fourier transform (STFT) on the micro-motion signal after filtering each distance unit to obtain chromatographic spectrums at different frame moments, wherein the data window length of the STFT is 9 seconds, and the sliding window step is 1 second.

For example, as shown in fig. 7, a typical chromatogram is a specific geometric relationship between the radar and the target object due to the radar installation mode, and different distance units in the chromatogram have corresponding relationships with different parts of the target object, so vital signs of different parts of the target object can be reflected: the distance unit corresponding to the head of the target object mainly reflects the movement condition of the upper respiratory tract of the target object; the distance unit corresponding to the chest of the target object mainly reflects the heart and lung activity condition of the target object; the distance unit corresponding to the abdomen of the target object mainly reflects the motion condition of the abdomen in the breathing process of the target object; the distance unit corresponding to the target object leg mainly reflects the movement condition of the target object leg.

Through the steps, the vital sign information of the target object can be comprehensively monitored by utilizing the corresponding relation between different distance units and different parts of the target object in the chromatographic spectrum of the micro-motion signal.

Optionally, in the vital sign information monitoring method provided by the embodiment of the present application, the collecting, by the target monitoring device, the echo signal of the target object in the sleep state includes: a frequency modulated continuous wave signal transmitted by the target monitoring device; echo signals reflected by a target object received by target monitoring equipment; mixing the frequency-modulated continuous wave signal and the echo signal to obtain a difference frequency signal; and processing the difference frequency signal to obtain a digitized echo signal.

For example, as shown in fig. 8, a millimeter wave radar apparatus is installed at a position about 1 m from the height of the bed surface on a wall above the center of the bed head, and the apparatus installation angle is adjusted so that the radar beam is directed toward the center of the bed surface. The radar emits a Frequency Modulation Continuous Wave (FMCW) signal, the signal modulation mode is sawtooth wave, and the Chirp period is T _c In seconds, N successively transmitted Chirp groups form a frame with a frame period T _f Second. The echo signal received by the radar is mixed with the transmitting signal to obtain a difference frequency signal. The difference frequency signal is subjected to high-pass filtering, low-noise amplification and ADC sampling to obtain a digitized echo signal.

Through the steps, the millimeter wave radar can accurately acquire the echo signal of the target object, so that the monitoring accuracy is ensured. Moreover, the millimeter wave radar is equipment which is not required to be worn by a target object, and the target object is not required to be contacted with the millimeter wave radar, so that discomfort of the target object is not caused, and further user experience is improved.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different from that described herein.

The embodiment of the application also provides a vital sign information monitoring device, and the vital sign information monitoring device can be used for executing the vital sign information monitoring method provided by the embodiment of the application. The vital sign information monitoring device provided by the embodiment of the application is described below.

Fig. 9 is a schematic diagram of a vital sign information monitoring device according to an embodiment of the present application. As shown in fig. 9, the apparatus includes: a first acquisition unit 901, a first extraction unit 902, a first analysis unit 903 and a first monitoring unit 904.

Specifically, the first acquisition unit 901 is configured to acquire an echo signal of a target object in a sleep state through a target monitoring device, where the target monitoring device is a radar monitoring device that is not required to be worn by the target object;

a first extracting unit 902, configured to extract a micro signal for each distance unit in the echo signal;

the first analysis unit 903 is configured to perform spectrum analysis on the micro signal to obtain a chromatographic spectrum of the micro signal;

the first monitoring unit 904 is configured to monitor vital sign information of the target object by using a chromatographic spectrum of the micro-motion signal, where the vital sign information at least includes a respiration rate, a respiration form, and an restless leg phenomenon of the target object.

In summary, the vital sign information monitoring device provided by the embodiment of the present application is configured to collect, by using a first collecting unit 901, an echo signal of a target object in a sleep state, where the target monitoring device is a radar monitoring device that is not required to be worn by the target object; a first extracting unit 902, configured to extract a micro signal for each distance unit in the echo signal; the first analysis unit 903 is configured to perform spectrum analysis on the micro signal to obtain a chromatographic spectrum of the micro signal; the first monitoring unit 904 is configured to monitor vital sign information of a target object by using a chromatographic spectrum of a micro-motion signal, where the vital sign information at least includes a respiration rate, a respiration form and an restless leg phenomenon of the target object, which solves a problem of poor monitoring effect on the vital sign information in a related technology, and by adopting a radar monitoring device that is not required to be worn by the target object, an echo signal of the target object is collected and processed and analyzed, so that the vital sign information of the target object is monitored, and accuracy and comprehensiveness of monitoring are also ensured while user experience is ensured, and further, the vital sign information monitoring effect on a user is improved.

Optionally, in the vital sign information monitoring device provided in the embodiment of the present application, the first extraction unit includes: the first processing module is used for processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; the second processing module is used for carrying out clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and obtaining a fast-scale one-dimensional distance image through non-coherent accumulation on the distance dimension complex signals after clutter suppression; the third processing module is used for extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by utilizing distance dimension complex data after clutter suppression; and the fourth processing module is used for extracting the phase of the distance dimension complex signal of each frame of target Chirp index, and unreeling the phase signal of each distance unit along the frame time dimension to obtain the unreeled phase signal, wherein the phase signal is the micro-motion signal extracted at the slow scale.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the device further includes: the second extraction unit is used for carrying out clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and extracting the energy of the echo signal reflected by the target object at each frame moment by using the fast dimension one-dimensional distance image after the distance dimension complex signals after clutter suppression are accumulated through non-phase parameters to obtain the fast dimension one-dimensional distance image; the first judging unit is used for judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the device further includes: the first positioning unit is used for extracting a distance dimension complex signal of a target Chirp index in each frame by using target monitoring equipment as a radar, performing clutter suppression in a frame time dimension, and positioning the chest position of a target object by using the slow dimension one-dimensional distance image after generating the slow dimension one-dimensional distance image by using the distance dimension complex data after clutter suppression; the first determining unit is used for determining the corresponding relation between the chest position and the distance unit of the radar; and the first evaluation unit is used for evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the target part does not comprise the chest of the target object.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the device further includes: the first search unit is used for carrying out peak value search along a frequency axis on the distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal when the target object is in a steady state after the corresponding relation between the chest position and the distance unit of the radar is determined, so as to obtain a search result; and the first processing unit is used for processing the search result to obtain the respiration rate of the target object.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the device further includes: the third extraction unit is used for extracting the peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal when the target object is in a steady state after evaluating the corresponding relation between the target position of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object if the target position is the abdomen; a fourth extraction unit, configured to extract, when the target object is in a stationary state, a peak energy of a distance unit of the radar corresponding to an abdomen position of the target object in a chromatogram of the micro signal; and the first comparison unit is used for judging whether the target object is chest breathing or abdomen breathing by comparing the peak energy of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the device further includes: and the second analysis unit is used for detecting whether the target object has the phenomenon of uneasiness leg or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatographic spectrum of the micro-motion signal after evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object if the target part is the leg.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the first analysis unit includes: the fifth processing module is used for carrying out filtering processing on the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal of each distance unit after filtering; the first analysis module is used for carrying out spectrum analysis on the micro-motion signals after each distance unit is filtered, and obtaining chromatographic spectrums of the micro-motion signals at different frame moments.

Optionally, in the information detection device for an indoor object provided by the embodiment of the present application, the first acquisition unit includes: the first transmitting module is used for transmitting the frequency modulation continuous wave signal through the target monitoring equipment; the first receiving module is used for receiving echo signals reflected by the target object through the target monitoring equipment; the sixth processing module is used for carrying out frequency mixing processing on the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal; and the seventh processing module is used for processing the difference frequency signal to obtain a digitized echo signal.

The vital sign information monitoring device includes a processor and a memory, where the first acquisition unit 901, the first extraction unit 902, the first analysis unit 903, the first display unit 904, and the like are stored as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the monitoring effect on vital sign information is improved by adjusting kernel parameters.

The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a storage medium, on which a program is stored, which program, when being executed by a processor, implements the vital sign information monitoring method.

The embodiment of the invention provides a processor which is used for running a program, wherein the vital sign information monitoring method is executed when the program runs.

The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program: collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; and monitoring vital sign information of the target object by using a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object.

The processor also realizes the following steps when executing the program: extracting a jog signal for each distance cell in the echo signal, comprising: processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; performing clutter suppression on the distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and accumulating the distance dimension complex signals after clutter suppression through non-phase correlation to obtain a fast-scale one-dimensional distance image; extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using distance dimension complex data after clutter suppression; and extracting the phase of the distance dimension complex signal of each frame of the target Chirp index, and unwrapping the phase signal of each distance unit along a frame time dimension to obtain an unwrapped phase signal, wherein the phase signal is a micro-motion signal extracted in a slow scale.

The processor also realizes the following steps when executing the program: performing clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and after obtaining a fast-scale one-dimensional distance image by non-coherent accumulation of the distance dimension complex signals after clutter suppression, the method further comprises: extracting the energy of echo signals reflected by the target object at each frame moment by using the fast-scale one-dimensional range profile; and judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

The processor also realizes the following steps when executing the program: the target monitoring device is a radar, and after extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression, the method further comprises: positioning the chest position of the target object by using the slow-scale one-dimensional range profile; determining the corresponding relation between the chest position and a distance unit of the radar; and evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the target part does not comprise the chest of the target object.

The processor also realizes the following steps when executing the program: after determining the correspondence of the chest position to the range bin of the radar, the method further comprises: when the target object is in a stable state, selecting a distance unit of the radar corresponding to the chest position of the target object from the chromatographic spectrum of the micro-motion signal to perform peak search along a frequency axis, so as to obtain a search result; and processing the search result to obtain the respiration rate of the target object.

The processor also realizes the following steps when executing the program: if the target part is an abdomen, after evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further comprises: when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal; when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the inching signal; and judging whether the target object is chest respiration or abdomen respiration by comparing the spectral peak energy of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

The processor also realizes the following steps when executing the program: if the target part is a leg, after evaluating the correspondence between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further comprises: and detecting whether the target object has the phenomenon of restless legs or not by analyzing the frequency spectrum characteristics of the distance units of the radar corresponding to the legs in the chromatographic spectrum of the micro-motion signal.

The processor also realizes the following steps when executing the program: performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal, wherein the step of obtaining the chromatographic spectrum of the micro-motion signal comprises the following steps: filtering the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal after filtering of each distance unit; and carrying out spectrum analysis on the micro-motion signals filtered by each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

The processor also realizes the following steps when executing the program: the step of collecting echo signals of the target object in the sleep state through the target monitoring equipment comprises the following steps: a frequency modulated continuous wave signal transmitted by the target monitoring device; echo signals reflected by the target object received by the target monitoring device; mixing the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal; and processing the difference frequency signal to obtain a digitized echo signal.

The application also provides a computer program product adapted to perform, when executed on a data processing apparatus, a program initialized with the method steps of: collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal; and monitoring vital sign information of the target object by using a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: extracting the micro-motion signal for each distance unit in the echo signal comprises: processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; performing clutter suppression on the distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and accumulating the distance dimension complex signals after clutter suppression through non-phase correlation to obtain a fast-scale one-dimensional distance image; extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using distance dimension complex data after clutter suppression; and extracting the phase of the distance dimension complex signal of each frame of the target Chirp index, and unwrapping the phase signal of each distance unit along the frame time dimension to obtain an unwrapped phase signal, wherein the phase signal is a micro-motion signal extracted in a slow scale.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: clutter suppression is carried out on distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and after the distance dimension complex signals after clutter suppression are accumulated through non-phase parameters to obtain a fast-scale one-dimensional distance image, the method further comprises the steps of: extracting the energy of echo signals reflected by the target object at each frame moment by using the fast-scale one-dimensional range profile; and judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: the target monitoring equipment is a radar, and after extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression, the method further comprises the steps of: positioning the chest position of the target object by using the slow-scale one-dimensional range profile; determining the corresponding relation between the chest position and a distance unit of the radar; and evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the chest of the target object is not included in the target part.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: after determining the correspondence of the chest position to the distance bin of the radar, the method further comprises: when the target object is in a stable state, selecting a distance unit of the radar corresponding to the chest position of the target object from the chromatographic spectrum of the micro-motion signal to perform peak search along a frequency axis, so as to obtain a search result; and processing the search result to obtain the respiration rate of the target object.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: if the target part is an abdomen, after evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further comprises: when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal; when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the inching signal; and judging whether the target object is chest respiration or abdomen respiration by comparing the energy of the spectral peak of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: if the target part is a leg, after evaluating the correspondence between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, the method further comprises: and detecting whether the target object has the phenomenon of restless legs or not by analyzing the frequency spectrum characteristics of the distance units of the radar corresponding to the legs in the chromatographic spectrum of the micro-motion signal.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal, wherein the step of obtaining the chromatographic spectrum of the micro-motion signal comprises the following steps: filtering the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal after filtering of each distance unit; and carrying out spectrum analysis on the micro-motion signals filtered by each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

When executed on a data processing device, is further adapted to carry out a program initialized with the method steps of: the step of collecting echo signals of the target object in the sleep state through the target monitoring equipment comprises the following steps: a frequency modulated continuous wave signal transmitted by the target monitoring device; echo signals reflected by the target object received by the target monitoring device; mixing the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal; and processing the difference frequency signal to obtain a digitized echo signal.

It will be appreciated by those skilled in the art that embodiments of the application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. A vital sign information monitoring method, comprising:

collecting echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object;

extracting a micro-motion signal from each distance unit in the echo signal;

performing spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal;

monitoring vital sign information of the target object by using a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object;

wherein extracting the micro-motion signal for each distance unit in the echo signal comprises:

processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp;

performing clutter suppression on the distance dimension complex signals of a plurality of Chirp in each frame along a slow time dimension, and accumulating the distance dimension complex signals after clutter suppression through non-phase correlation to obtain a fast-scale one-dimensional distance image;

extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using distance dimension complex data after clutter suppression;

Extracting the phase of the distance dimension complex signal of each frame of the target Chirp index, and unwrapping the phase signal of each distance unit along a frame time dimension to obtain an unwrapped phase signal, wherein the unwrapped phase signal is an inching signal extracted in a slow scale;

wherein, after extracting the distance dimension complex signal of the target Chirp index in each frame, performing clutter suppression in the frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression, the method further comprises:

positioning the chest position of the target object by using the slow-scale one-dimensional range profile;

determining the corresponding relation between the chest position and a distance unit of the radar;

and evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the chest of the target object is not included in the target part.

2. The method of claim 1, wherein clutter suppression is performed on the distance-dimensional complex signals of the plurality of chirps along the slow time dimension within each frame, and wherein after accumulating the clutter-suppressed distance-dimensional complex signals by non-coherent accumulation to obtain the fast-scale one-dimensional range profile, the method further comprises:

Extracting the energy of echo signals reflected by the target object at each frame moment by using the fast-scale one-dimensional range profile;

and judging whether the target object is in a stable state or a body movement state by adopting a sliding window detection method for the energy of the echo signal.

3. The method of claim 1, wherein after determining the correspondence of the chest cavity location to a range bin of a radar, the method further comprises:

when the target object is in a stable state, selecting a distance unit of the radar corresponding to the chest position of the target object from the chromatographic spectrum of the micro-motion signal to perform peak search along a frequency axis, so as to obtain a search result;

and processing the search result to obtain the respiration rate of the target object.

4. The method according to claim 1, wherein if the target site is an abdomen, after evaluating a correspondence of the target site of the target object to the range bin of the radar based on the installation height information of the target monitoring device and the height information of the target object, the method further comprises:

when the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatographic spectrum of the micro-motion signal;

When the target object is in a stable state, extracting spectral peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the inching signal;

and judging whether the target object is chest respiration or abdomen respiration by comparing the spectral peak energy of the distance unit of the radar corresponding to the chest position and the abdomen position of the target object.

5. The method according to claim 1, wherein if the target site is a leg, after evaluating a correspondence of the target site of the target object to a range unit of the radar based on the mounting height information of the target monitoring device and the height information of the target object, the method further comprises:

and detecting whether the target object has the phenomenon of restless legs or not by analyzing the frequency spectrum characteristics of the distance units of the radar corresponding to the legs in the chromatographic spectrum of the micro-motion signal.

6. The method of claim 1, wherein performing a spectral analysis on the micro-motion signal to obtain a chromatogram of the micro-motion signal comprises:

filtering the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal after filtering of each distance unit;

And carrying out spectrum analysis on the micro-motion signals filtered by each distance unit to obtain chromatographic spectrums of the micro-motion signals at different frame moments.

7. The method of claim 1, wherein acquiring echo signals of the target subject in the sleep state by the target monitoring device comprises:

a frequency modulated continuous wave signal transmitted by the target monitoring device;

echo signals reflected by the target object received by the target monitoring device;

mixing the frequency modulation continuous wave signal and the echo signal to obtain a difference frequency signal;

and processing the difference frequency signal to obtain a digitized echo signal.

8. A vital sign information monitoring device, comprising:

the first acquisition unit is used for acquiring echo signals of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not required to be worn by the target object;

the first extraction unit is used for extracting micro-motion signals from each distance unit in the echo signals;

the first analysis unit is used for carrying out spectrum analysis on the micro-motion signal to obtain a chromatographic spectrum of the micro-motion signal;

The first monitoring unit is used for monitoring vital sign information of the target object by utilizing a chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless leg phenomenon of the target object;

wherein the first extraction unit includes: the first processing module is used for processing the echo signals to obtain distance dimension complex signals in a plurality of Chirp; the second processing module is used for carrying out clutter suppression on the distance dimension complex signals of the plurality of Chirp in each frame along a slow time dimension, and obtaining a fast-scale one-dimensional distance image through non-coherent accumulation on the distance dimension complex signals after clutter suppression; the third processing module is used for extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional distance image by using the distance dimension complex data after clutter suppression; the fourth processing module is used for extracting the phase of the distance dimension complex signal of each frame of the target Chirp index, and unwrapping the phase signal of each distance unit along the frame time dimension to obtain an unwrapped phase signal, wherein the unwrapped phase signal is a micro-motion signal extracted in a slow scale;

Wherein the apparatus further comprises: the first positioning unit is used for extracting a distance dimension complex signal of a target Chirp index in each frame, performing clutter suppression in a frame time dimension, and positioning the chest position of the target object by using the slow dimension one-dimensional distance image after generating the slow dimension one-dimensional distance image by using the distance dimension complex data after clutter suppression; the first determining unit is used for determining the corresponding relation between the chest position and the distance unit of the radar; and the first evaluation unit is used for evaluating the corresponding relation between the target part of the target object and the distance unit of the radar according to the installation height information of the target monitoring equipment and the height information of the target object, wherein the target part does not comprise the chest of the target object.

9. A processor, characterized in that the processor is adapted to run a program, wherein the program when run performs the vital sign information monitoring method of any of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the storage medium comprises a stored program, wherein the program performs the vital sign information monitoring method of any of claims 1 to 7.