CN113693582A

CN113693582A - Vital sign information monitoring method and device, storage medium and processor

Info

Publication number: CN113693582A
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: 2021-11-26
Anticipated expiration: 2041-07-29
Also published as: CN113693582B

Abstract

The application discloses a vital sign information monitoring method and device, a storage medium and a processor. The method comprises the following steps: acquiring an echo signal of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; 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 legs phenomenon of the target object. Through the application, the problem of poor monitoring effect on vital sign information in the related technology is solved.

Description

Vital sign information monitoring method and device, storage medium and processor

Technical Field

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

Background

At present, with the continuous improvement of the medical technology level, modern people pay more and more attention to the health of themselves. The human body contains abundant information in vital sign data under the sleeping state, and has important significance in monitoring the vital sign data: on one hand, vital sign data can directly reflect the health condition of people; on the other hand, the method is favorable for realizing potential disease early warning and treatment effect evaluation by deeply mining the vital sign data accumulated for a long time.

However, in the related art, the conventional vital sign monitoring instrument mainly detects the vital sign data of the human body through contact sensors such as optical sensors, electrical sensors, pressure sensors 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 movement of each part of a human body under the condition of not contacting the human body by receiving electromagnetic waves reflected by the human body, and then extracts vital sign data. Compared with the traditional means for monitoring the vital signs, the millimeter wave radar has the advantages of non-contact, motion sensitivity, no invasion to privacy, small volume, low power consumption and the like, and is very suitable for long-term home monitoring.

In addition, the weak movement of each part of the human body also contains rich vital sign information: the heart and lung activity of a human body causes the wall of the chest to fluctuate, and the information such as respiratory rate, heart rate, respiratory form and the like can be acquired by detecting the weak movement of the chest part by using a millimeter wave radar; through the comparative analysis of the weak movement of the chest and the abdomen of a human body, two respiration modes of chest respiration and abdominal respiration can be distinguished; through detecting the twitch condition of the legs of the human body in the sleep stage, the restless legs syndrome can be found. However, in the related art, the method for monitoring vital signs based on the millimeter wave radar mainly focuses on the estimation of the respiration rate and the heart rate, and lacks of full-range perception of vital signs of all parts of a human body.

Aiming at the problem of poor monitoring effect on vital sign information in the related technology, an effective solution is not provided at present.

Disclosure of Invention

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

To achieve the above object, according to one aspect of the present application, a vital sign information monitoring method is provided. The method comprises the following steps: acquiring an echo signal of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; monitoring vital sign information of the target object by utilizing the chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless legs phenomenon of the target object.

Further, extracting a micro-motion signal for each range bin in the echo signal comprises: processing the echo signals to obtain a plurality of distance dimension complex signals in the Chirp; performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along a slow time dimension, and performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression to obtain a fast-scale one-dimensional range profile; extracting a distance dimension complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimension complex data subjected to clutter suppression; and extracting the phase of the distance dimensional 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 jogging signal extracted in a slow scale.

Further, clutter suppression is performed on a plurality of distance dimensional complex signals of the Chirp along a slow time dimension in each frame, and after a fast-scale one-dimensional range profile is obtained by non-coherent accumulation on the distance dimensional complex signals after clutter suppression, the method further comprises the following steps: extracting the energy of an 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.

Further, the target monitoring device is a radar, and after extracting a distance dimension complex signal indexed by a Chirp index of a target 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 the clutter suppression, the method further includes: positioning the position of the chest cavity of the target object by using the slow-scale one-dimensional distance image; determining the corresponding relation between the chest position and a distance unit of a radar; and evaluating the corresponding relation between a target part of the target object and a 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 a distance unit 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 a chromatogram of the micro-motion signal to perform peak value search along a frequency axis to obtain a search result; and processing the search result to obtain the breathing rate of the target object.

Further, if the target portion is an abdomen, after the corresponding relationship between the target portion of the target object and the distance unit of the radar is evaluated 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 the spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal; when the target object is in a steady state, extracting the spectral peak energy of the distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the micro-motion signal; and judging whether the target object is chest breathing or abdominal breathing 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.

Further, 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 evaluated 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 leg restlessness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram of the micro-motion signal.

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

Further, acquiring the echo signal of the target object in the sleep state by the target monitoring device includes: transmitting a frequency modulated continuous wave signal through the target monitoring device; receiving, by the target monitoring device, an echo signal reflected by the target object; performing frequency mixing processing on 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.

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

Further, the first extraction unit includes: the first processing module is used for processing the echo signals to obtain multiple distance dimension complex signals in a plurality of Chirps; the second processing module is used for performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps along the slow time dimension in each frame, and obtaining a fast-scale one-dimensional range profile through non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression; the third processing module is used for extracting a distance dimensional complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimensional complex data subjected to clutter suppression; and the fourth processing module is used for extracting the phase of the distance dimensional complex signal indexed by each frame of the target Chirp, 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 jogging signal extracted in a slow scale.

Further, the apparatus further comprises: the second extraction unit is used for performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along the slow time dimension, and extracting the energy of the echo signal reflected by the target object at each frame moment by using the fast-scale one-dimensional distance image after the distance dimensional complex signals subjected to clutter suppression are subjected to non-coherent accumulation to obtain the fast-scale one-dimensional distance image; and the first judgment 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 extracting a distance dimension complex signal indexed by a target Chirp in each frame by using the target monitoring equipment as a radar, performing clutter suppression in a frame time dimension, generating a slow-scale one-dimensional range profile by using the distance dimension complex data after the clutter suppression, and positioning the thoracic position of the target object by using the slow-scale one-dimensional range profile; the first determining unit is used for determining the corresponding relation between the chest position and a distance unit of a radar; a first evaluation unit, configured to evaluate a correspondence between a target portion of the target object and a distance unit of the radar according to the installation height information of the target monitoring device and the height information of the target object, where the chest of the target object is not included in the target portion.

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

Further, the apparatus further comprises: a third extraction unit, configured to, 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, extract, when the target object is in a stationary state, a spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in a chromatogram of the micro-motion 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 micro-motion signal; and the first comparison unit is used for judging whether the target object is chest breathing or abdominal breathing 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.

Further, the apparatus further comprises: and the second analysis unit is used for detecting whether the target object has the leg uneasiness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram 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.

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

Further, the first acquisition unit includes: the first transmitting module is used for transmitting a frequency modulation continuous wave signal through the target monitoring equipment; the first receiving module is used for receiving an echo signal reflected by the target object through the target monitoring equipment; the sixth processing module is used for performing mixed frequency processing on the frequency modulated 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.

To achieve the above object, according to another aspect of the present application, a processor for executing a program is provided, where the program executes to perform the vital sign information monitoring method described in any one of the 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 according to any one of the above.

Through the application, the following steps are adopted: acquiring an echo signal of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; the method comprises the steps of monitoring vital sign information of a target object by utilizing a chromatographic spectrum of a micromotion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless legs phenomenon of the target object, and the problem of poor monitoring effect on the vital sign information in the related technology is solved. Through the adoption need not the radar monitoring equipment that the target object dressed, gather the echo signal of target object to handle it, the analysis, thereby monitoring target object's vital sign information when guaranteeing user experience, also guaranteed the accuracy and the comprehensiveness of monitoring, and then promoted the vital sign information monitoring effect to the user.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit 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 present application;

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

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

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

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

FIG. 7 is a schematic diagram of a mapping relationship between a range unit and each part of a target object in a millimeter wave radar micro-motion signal chromatogram in the embodiment of the present application;

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

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

Detailed Description

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

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. 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 flowchart of a vital sign information monitoring method according to an embodiment of the present application. As shown in fig. 1, the method comprises the following steps:

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

For example, the target monitoring device may be a millimeter wave radar. And (3) installing the millimeter wave radar equipment at the position, about 1 m away from the height of the bed surface, of the wall above the center of the bed head, and adjusting the installation angle of the millimeter wave equipment to enable the millimeter wave radar wave beam to point to the center of the bed surface. In addition, the millimeter wave radar transmits Frequency Modulated Continuous Wave (FMCW) signals, the signal modulation mode is sawtooth waves, and a plurality of Chirp continuously transmitted by the millimeter wave radar form a frame. And performing frequency mixing processing on the echo signal and the transmitting signal received by the millimeter wave radar to obtain a difference frequency signal, and performing high-pass filtering, low-noise amplification and ADC (analog-to-digital converter) sampling processing on the difference frequency signal to finally obtain a digitized echo signal.

And step S102, extracting a micro-motion signal for each distance unit in the echo signal.

For example, the echo signal received in each Chirp is first subjected to dc removal processing, then FFT conversion is performed, and only the positive frequency part of the converted data is retained, thereby obtaining a distance-dimensional 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 range profile by using the distance dimension complex data after the clutter suppression. And then extracting the phase of a certain fixed Chirp-indexed distance-dimensional complex signal 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 at the slow scale.

And step S103, carrying out frequency spectrum analysis on the inching signal to obtain a chromatogram of the inching signal.

For example, to avoid interference of a strong low-frequency component in the micro-motion signal on subsequent processing, the micro-motion signal of each distance unit is first filtered along a frame time dimension, and then the micro-motion signal filtered by each distance unit is subjected to spectrum analysis, so as to obtain chromatograms at different frame times.

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

For example, when the target object is in a steady state, selecting a distance unit corresponding to the chest in the micro-motion signal chromatogram to perform peak value search along a frequency axis, thereby obtaining a respiratory rate estimation value; the breathing form of the target object can be detected by extracting the corresponding spectral peak energy of the chest distance unit and the abdomen distance unit in the micro-motion signal chromatogram and comparing the difference of the spectral peak energy of different parts, and whether the target object is in chest breathing or abdominal breathing is judged; the leg restlessness phenomenon can also be detected by analyzing the frequency spectrum characteristics of the leg distance unit in the micro-motion signal chromatogram.

The above steps S101-S104 are shown in FIG. 1, which is a diagram of the steps of the method of the present invention.

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

Optionally, in the vital sign information monitoring method provided in the embodiment of the present application, extracting a micro-motion signal for each distance unit in an echo signal includes: processing the echo signals to obtain a plurality of distance dimension complex signals in the Chirp; performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along a slow time dimension, and performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression to obtain a fast-scale one-dimensional distance image; extracting a distance dimension complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimension complex data subjected to clutter suppression; and extracting the phase of the distance dimension complex signal indexed by each frame of target Chirp, 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 jogging signal extracted at a slow scale.

For example, the acquired echo signal of the target object is preprocessed, and a micro-motion signal of each distance unit is extracted. As shown in fig. 2, the preprocessing process includes four parts, namely, 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 in each Chirp, then performing FFT (fast Fourier transform), and only retaining a positive frequency part on the transformed data to obtain each ChirpDistance dimension complex signal x_n,m＝[x_1,n,m,...,x_r,n,m,...,x_R,n,m]^TWhere the superscript T denotes a matrix transpose operation, R1, 2., R denotes a distance unit index, N1, 2., N denotes a Chirp index, M1., and M denotes a frame index.

Wherein, the fast-scale one-dimensional range image generation process comprises the following steps: firstly, the slow time DC removing operation is carried out on N Chirp distance dimension complex signals in a frame, namely

Then, non-coherent power accumulation is carried out on the distance dimension complex signal after the direct current is removed from the slow time, and a one-dimensional distance image of the frame time is obtained, namely

Wherein | · non fume²Indicating squaring the absolute value of each element in the vector.

Wherein, the slow-scale one-dimensional range image generation process comprises the following steps: firstly, extracting a distance dimension complex signal x of the first Chirp of each frame_1,mThen, clutter suppression is carried out in a frame time dimension, and a slow-scale one-dimensional range profile r is generated by using the range dimension complex data after clutter suppression_mI.e. by

The slow scale micro-motion signal extraction process comprises the following steps: firstly, calculating a distance dimension complex signal x of the first Chirp of each frame₁,_mTo obtain a phase signal vector a_m＝angle(x_1,m) Where angle (-) denotes phasing each element in the complex vector. Then, the phase signal vector is uncoiled along the frame time dimension to obtain an uncoiled phase signal vector z_m＝unwrap(a_m) Wherein unwrap (·) denotes an unwinding operation, z_m＝[z_1,m,...z_r,m,...,z_R,m]^TNamely the jogging signal vector at the m frame moment extracted in the slow scale.

According to the scheme, 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 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 indexed by a certain fixed chirp in each frame is extracted, and then the phase signals of each distance unit are processed to obtain slow-scale micro-motion signals. By processing the collected echo signals of the target object, the micro-motion signals of each distance unit can be accurately extracted, and the subsequent frequency spectrum analysis of the micro-motion signals is facilitated.

Optionally, in the method for monitoring vital sign information provided in the embodiment of the present application, after performing clutter suppression on multiple distance dimensional complex signals of Chirp along a slow time dimension in each frame, and obtaining a fast-scale one-dimensional distance image from the distance dimensional complex signals after the clutter suppression through non-coherent accumulation, the method further includes: extracting the energy of an echo signal reflected by a target object at each frame time 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 movement. Body motion detection is required because body motion of the target subject can cause serious interference to vital sign signals. Therefore, the body motion detection can be carried out by utilizing the fast-scale one-dimensional distance image, and the specific method comprises the following steps: firstly, the average power w in the monitoring distance range at each frame moment is obtained_mI.e. by

Wherein v is_r,mRepresenting fast-scale one-dimensional range profile v_mThe r-th element of (1), r₁And r₂Respectively representing the starting and ending indices of the distance units corresponding to the monitoring distance range. Then use w_mAnd (4) performing sliding window detection along a frame time dimension, wherein the time lengths of the left window and the right window are both 3 seconds, and the logarithm of the ratio of the average power of the right window to the average power of the left window is recorded as gamma_mWhen | γ_mL continuousK frames below threshold η₁And considering that the target object is in a stable state at the moment of the current frame, otherwise, considering that the target object is in a body movement state at the moment of the current frame.

By the scheme, the body movement state of the target object is monitored, the vital sign information of the target object can be accurately monitored, interference on vital sign signals when the target object is in the body movement state is avoided, and therefore monitoring accuracy is guaranteed.

Optionally, in the method for monitoring vital sign information provided in the embodiment of the present application, the target monitoring device is a radar, and after extracting a distance-dimensional complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using distance-dimensional complex data after the clutter suppression, the method further includes: positioning the position of the thoracic cavity of the target object by using the slow-scale one-dimensional distance image; determining the corresponding relation between the position of the chest cavity and a distance unit of a 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 device and the height information of the target object, wherein the chest cavity 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, i.e., a head part, a chest part, an abdomen part and a leg part, and as shown in fig. 3, when the target object is in a steady state, the energy strongest 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 using the installation height information and the height information of the target object of the radar.

Through the steps, the mapping relation between the radar distance unit and each part of the target object is built, so that the vital sign information of each part of the target object can be conveniently and comprehensively sensed. Thereby ensuring the comprehensiveness of the monitoring.

Optionally, in the vital sign information monitoring method provided in the embodiment of the present application, after determining the correspondence between the position of the chest 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 chromatogram of the micro-motion signal to search a peak value along a frequency axis to obtain a search result; and processing the search result to obtain the breathing rate of the target object.

For example, when the target object is in a steady state, J distance units corresponding to the chest are selected from the micro-motion signal chromatogram to perform peak value search along frequency axes respectively, the frequency search interval is 0.1 Hz-0.6 Hz, frequency values corresponding to the J distance unit peak values are averaged, and finally, a respiration rate estimation value is obtained.

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

Optionally, in the vital sign information monitoring method provided in the embodiment of the present application, if the target portion is an abdomen, after estimating a correspondence between the target portion of the target object and a 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 the spectral peak energy of a distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal; when the target object is in a stable state, extracting the spectrum peak energy of a distance unit of the radar corresponding to the abdomen position of the target object in the chromatogram of the micro-motion signal; and judging whether the target object is chest respiration or abdominal respiration by comparing the spectral peak energy of the radar distance unit corresponding to the chest position and the abdomen position of the target object.

For example, as shown in fig. 4 and 5, the micro-motion signal chromatograms of the target subject under chest breathing and abdominal breathing are clearly different. Therefore, the breathing form of the target object can be detected by utilizing the micro-motion signal chromatographic spectrum, and the specific method comprises the following steps: when the target object is in a stable state, extracting the spectrum peak energy E corresponding to the chest distance unit in the micro-motion signal chromatogram_chestAnd simultaneously extracting the corresponding spectral peak energy E of the abdomen distance unit_abdomenFrequency of spectral peak search thereinThe interval is 0.1 Hz-0.6 Hz, and the log (E)_chest/E_abdomen)＞η₂When the measured value is positive, it is judged as chest respiration, and log (E)_chest/E_abdomen)＜η₃It is judged as abdominal respiration.

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

Optionally, in the vital sign information monitoring method provided in the embodiment of the present application, if the target portion is a leg, after estimating a correspondence between the target portion of the target object and a 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 leg-uneasiness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram of the micro-motion signal.

For example, as shown in fig. 6, when the target subject has a restless leg phenomenon, the leg position in the micro-motion signal chromatogram shows a distinct feature. Therefore, the leg restlessness phenomenon can be detected by utilizing the micro-motion signal chromatographic spectrum, and the specific method comprises the following steps: selecting L distance units corresponding to legs in a micro-motion signal chromatogram, respectively carrying out peak search along a frequency axis, and then, carrying out peak energy and threshold eta on each distance unit₄Comparing, and when the distance unit number of the threshold value is larger than eta₅It is determined that there is a restless leg phenomenon.

Through the steps, the leg restlessness phenomenon 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 in the embodiment of the present application, performing spectrum analysis on the inching signal to obtain a chromatogram of the inching signal includes: filtering the micro-motion signal of each distance unit along a frame time dimension to obtain a micro-motion signal filtered by each distance unit; and carrying out spectrum analysis on the inching signal filtered by each distance unit to obtain the chromatographic spectrums of the inching signal at different frame moments.

For example, the frame frequency of the FMCW signal transmitted 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 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 type of the adopted filter is an IIR band-pass filter, the order of the filter is 8, and the pass band range is 0.1 Hz-5 Hz. And then, carrying out short-time Fourier transform (STFT) on the micromotion signal filtered by each distance unit to obtain the chromatographic spectrums at different frame moments, wherein the data window length of the STFT is 9 seconds, and the sliding window stepping is 1 second.

For example, as shown in fig. 7, a typical chromatogram can reflect vital signs of different parts of a target object because the radar is mounted in a manner that a special geometric relationship exists between the radar and the target object, and different distance units in the chromatogram have corresponding relationships with different parts of the target object: the distance unit corresponding to the head of the target object mainly reflects the motion condition of the upper respiratory tract of the target object; the distance unit corresponding to the chest of the target object mainly reflects the cardio-pulmonary 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 of the target object in the breathing process; the distance units corresponding to the legs of the target object mainly reflect the motion conditions of the legs of the target object.

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

Optionally, in the vital sign information monitoring method provided in the embodiment of the present application, acquiring, by the target monitoring device, an echo signal of the target subject in a sleep state includes: transmitting a frequency modulated continuous wave signal through the target monitoring device; receiving echo signals reflected by a target object through target monitoring equipment; carrying out frequency mixing processing on 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, the millimeter wave radar device is installed at a position above the center of the bed head where the height of the wall is about 1 meter from the height of the bed surface, and the installation angle of the device is adjusted so that the radar beam is directed to the center of the bed surface. The radar transmits Frequency Modulation Continuous Wave (FMCW) signals, the modulation mode of the signals is sawtooth waves, the Chirp period is T_cSecond, N continuously transmitted Chirp forms a frame with a frame period of T_fAnd second. And mixing the echo signal received by the radar with the transmitting signal to obtain a difference frequency signal. And after the difference frequency signal is subjected to high-pass filtering, low-noise amplification and ADC (analog-to-digital converter) sampling, a digitized echo signal is obtained.

Through the steps, the echo signals of the target object can be accurately acquired by using the millimeter wave radar, and the monitoring accuracy is further ensured. And the millimeter wave radar is the equipment that need not target object and dress, does not need target object to contact with it, so can not arouse target object's discomfort, and then has promoted user experience.

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 than that illustrated or described herein.

The embodiment of the present application further provides a vital sign information monitoring device, and it should be noted that the vital sign information monitoring device according to the embodiment of the present application may be used to execute the vital sign information monitoring method according to the embodiment of the present application. The vital sign information monitoring device provided by the embodiment of the application is introduced below.

Fig. 9 is a schematic diagram of a vital sign information monitoring apparatus according to an embodiment of the 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 worn by the target object;

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

a first analysis unit 903, configured to perform spectrum analysis on the inching signal to obtain a chromatogram of the inching signal;

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

To sum up, the vital sign information monitoring device provided in the embodiment of the present application is configured to, through the first acquisition unit 901, 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 the target object does not need to be worn; a first extracting unit 902, configured to extract a micro-motion signal for each distance unit in the echo signal; a first analysis unit 903, configured to perform spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; first monitoring unit 904 for utilize the chromatography spectrum of micro-motion signal, monitor target object's vital sign information, wherein, at least including target object's respiratory rate in the vital sign information, breathing form and restless leg phenomenon, the not good problem of vital sign information monitoring effect among the correlation technique has been solved, through adopting the radar monitoring equipment that need not target object and dress, gather target object's echo signal, and handle it, the analysis, thereby monitor target object's vital sign information, when guaranteeing user experience, the accuracy and the comprehensiveness of monitoring have also been guaranteed, and then the vital sign information monitoring effect to the user has been promoted.

Optionally, in the vital sign information monitoring apparatus provided in the embodiment of the present application, the first extracting unit includes: the first processing module is used for processing the echo signals to obtain a plurality of distance dimension complex signals in the Chirp; the second processing module is used for performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps along the slow time dimension in each frame, and obtaining a fast-scale one-dimensional range profile through non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression; the third processing module is used for extracting a distance dimensional complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using distance dimensional complex data subjected to clutter suppression; and the fourth processing module is used for extracting the phase of the distance dimensional complex signal indexed by each frame of target Chirp, and uncoiling the phase signal of each distance unit along the frame time dimension to obtain an uncoiled phase signal, wherein the phase signal is a jogging signal extracted in a slow scale.

Optionally, in the information detecting apparatus for an indoor object provided in an embodiment of the present application, the apparatus further includes: the second extraction unit is used for performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along the slow time dimension, and extracting the energy of the echo signal reflected by the target object at each frame moment by using the fast-scale one-dimensional distance image after the fast-scale one-dimensional distance image is obtained by performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression; and the first judgment 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 detecting apparatus for an indoor object provided in an embodiment of the present application, the apparatus further includes: the first positioning unit is used for extracting a distance dimension complex signal indexed by a target Chirp in each frame by taking the target monitoring equipment as a radar, performing clutter suppression in a frame time dimension, generating a slow-scale one-dimensional distance image by using the distance dimension complex data after the clutter suppression, and positioning the thoracic position of a target object by using the slow-scale one-dimensional distance image; the first determining unit is used for determining the corresponding relation between the position of the chest and the distance unit of the radar; and the first evaluation unit is used for evaluating the corresponding relation between a 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, wherein the target part does not comprise the chest cavity of the target object.

Optionally, in the information detecting apparatus for an indoor object provided in an embodiment of the present application, the apparatus further includes: the first search unit is used for selecting the radar distance unit corresponding to the chest position of the target object in the chromatogram of the micro-motion signal to perform peak value search along the frequency axis after the corresponding relation between the chest position and the radar distance unit is determined and when the target object is in a stable state, so as to obtain a search result; and the first processing unit is used for processing the search result to obtain the breathing rate of the target object.

Optionally, in the information detecting apparatus for an indoor object provided in an embodiment of the present application, the apparatus further includes: the third extraction unit is used for extracting the spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal when the target object is in a stable state 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 belly; the fourth extraction unit is used for extracting the spectral peak energy of the distance unit of the radar corresponding to the belly position of the target object in the chromatographic spectrum of the micro-motion signal when the target object is in a stable state; and the first comparison unit is used for 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 to judge whether the target object is chest breathing or abdominal breathing.

Optionally, in the information detecting apparatus for an indoor object provided in an embodiment of the present application, the apparatus further includes: and the second analysis unit is used for detecting whether the target object has the leg uneasiness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram 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 apparatus for an indoor object provided in an embodiment of the present application, the first analysis unit includes: the fifth processing module is used for filtering the micro-motion signal of each distance unit along the frame time dimension to obtain the micro-motion signal filtered by each distance unit; and the first analysis module is used for carrying out spectrum analysis on the micro-motion signal filtered by each distance unit to obtain the chromatographic spectrums of the micro-motion signals at different frame moments.

Optionally, in the information detection apparatus for an indoor object provided in an embodiment of the present application, the first acquisition unit includes: the first transmitting module is used for transmitting a frequency modulation continuous wave signal through the target monitoring equipment; the first receiving module is used for receiving an echo signal reflected by a target object through target monitoring equipment; the sixth processing module is used for carrying out frequency mixing processing on the frequency-modulated 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 comprises a processor and a memory, wherein the first acquisition unit 901, the first extraction unit 902, the first analysis unit 903, the first presentation unit 904 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the monitoring effect on the vital sign information is improved by adjusting the kernel parameters.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

An embodiment of the present invention provides a storage medium having a program stored thereon, where the program is executed by a processor to implement 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 which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring an echo signal of a target object in a sleeping state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; monitoring vital sign information of the target object by utilizing the chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless legs phenomenon of the target object.

The processor executes the program and further realizes the following steps: extracting a micro-motion signal for each distance unit in the echo signal, comprising: processing the echo signals to obtain a plurality of distance dimension complex signals in the Chirp; performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along a slow time dimension, and performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression to obtain a fast-scale one-dimensional range profile; extracting a distance dimension complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimension complex data subjected to 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 jogging signal extracted at a slow scale.

The processor executes the program and further realizes the following steps: performing clutter suppression on a plurality of distance-dimensional complex signals of Chirp along a slow time dimension in each frame, and after obtaining a fast-scale one-dimensional distance image from the distance-dimensional complex signals subjected to clutter suppression through non-coherent accumulation, the method further comprises the following steps: extracting the energy of an 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.

The processor executes the program and further realizes the following steps: the target monitoring equipment is a radar, a distance dimension complex signal of a target Chirp index in each frame is extracted, clutter suppression is carried out in a frame time dimension, and after a slow-scale one-dimensional range profile is generated by using distance dimension complex data after clutter suppression, the method further comprises the following steps: 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 a radar; and evaluating the corresponding relation between a target part of the target object and a 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 cavity of the target object.

The processor executes the program and further realizes the following steps: after determining the correspondence of the chest position 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 a chromatogram of the micro-motion signal to perform peak value search along a frequency axis to obtain a search result; and processing the search result to obtain the breathing rate of the target object.

The processor executes the program and further realizes the following steps: if the target part is an abdomen, after the corresponding relation between the target part of the target object and the distance unit of the radar is evaluated according to the installation height information of the target monitoring equipment and the height information of the target object, the method further comprises the following steps: when the target object is in a stable state, extracting the spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal; when the target object is in a steady state, extracting the spectral peak energy of the distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the micro-motion signal; and judging whether the target object is chest breathing or abdominal breathing 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 executes the program and further realizes the following steps: if the target part is a leg, after the corresponding relation between the target part of the target object and the distance unit of the radar is evaluated according to the installation height information of the target monitoring equipment and the height information of the target object, the method further comprises the following steps: and detecting whether the target object has the leg restlessness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram of the micro-motion signal.

The processor executes the program and further realizes the following steps: performing spectrum analysis on the micromotion signal to obtain a chromatogram of the micromotion signal, wherein the chromatogram comprises: filtering the micro-motion signal of each distance unit along a frame time dimension to obtain the micro-motion signal filtered by each distance unit; and carrying out spectrum analysis on the micro-motion signal filtered by each distance unit to obtain the chromatographic spectrums of the micro-motion signal at different frame moments.

The processor executes the program and further realizes the following steps: acquiring an echo signal of a target object in a sleep state by a target monitoring device includes: transmitting a frequency modulated continuous wave signal through the target monitoring device; receiving, by the target monitoring device, an echo signal reflected by the target object; performing frequency mixing processing on 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.

The present application further provides a computer program product adapted to perform a program of initializing the following method steps when executed on a data processing device: acquiring an echo signal of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object; extracting a micro-motion signal from each distance unit in the echo signal; carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal; monitoring vital sign information of the target object by utilizing the chromatographic spectrum of the micro-motion signal, wherein the vital sign information at least comprises the respiration rate, the respiration form and the restless legs phenomenon of the target object.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: extracting a micro-motion signal for each range bin in the echo signal comprises: processing the echo signals to obtain a plurality of distance dimension complex signals in the Chirp; performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along a slow time dimension, and performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression to obtain a fast-scale one-dimensional range profile; extracting a distance dimension complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimension complex data subjected to clutter suppression; and extracting the phase of the distance dimensional complex signal indexed by each frame of the target Chirp, 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 jogging signal extracted in a slow scale.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: performing clutter suppression on a plurality of distance-dimensional complex signals of Chirp along a slow time dimension in each frame, and after obtaining a fast-scale one-dimensional distance image from the distance-dimensional complex signals subjected to clutter suppression through non-coherent accumulation, the method further comprises the following steps: extracting the energy of an 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.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: the target monitoring equipment is a radar, clutter suppression is carried out in a frame time dimension after a distance dimension complex signal indexed by a target Chirp in each frame is extracted, and a slow-scale one-dimensional range profile is generated by using distance dimension complex data after clutter suppression, and the method further comprises the following steps: 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 a radar; and evaluating the corresponding relation between a target part of the target object and a 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 cavity of the target object is not included in the target part.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: after determining the correspondence of the chest position to a distance unit 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 chromatogram of the micro-motion signal to perform peak value search along a frequency axis to obtain a search result; and processing the search result to obtain the breathing rate of the target object.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: if the target part is an abdomen, after the corresponding relation between the target part of the target object and the distance unit of the radar is evaluated according to the installation height information of the target monitoring equipment and the height information of the target object, the method further comprises the following steps: when the target object is in a stable state, extracting the spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal; when the target object is in a steady state, extracting the spectral peak energy of the distance unit of the radar corresponding to the abdomen position of the target object in the chromatographic spectrum of the micro-motion signal; and judging whether the target object is chest breathing or abdominal breathing 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.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: if the target part is a leg, after the corresponding relationship between the target part of the target object and the distance unit of the radar is evaluated 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 leg restlessness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram of the micro-motion signal.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: performing spectrum analysis on the micromotion signal to obtain a chromatogram of the micromotion signal, wherein the chromatogram comprises: filtering the micro-motion signal of each distance unit along a frame time dimension to obtain a micro-motion signal filtered by each distance unit; and carrying out spectrum analysis on the micro-motion signal filtered by each distance unit to obtain the chromatographic spectrums of the micro-motion signal at different frame moments.

When executed on a data processing device, is further adapted to perform a procedure for initializing the following method steps: acquiring an echo signal of a target subject in a sleep state by a target monitoring device includes: transmitting a frequency modulated continuous wave signal through the target monitoring device; receiving, by the target monitoring device, an echo signal reflected by the target object; performing frequency mixing processing on 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.

As will be appreciated by one skilled in the art, 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 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

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

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 computer storage media 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

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, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A vital sign information monitoring method, comprising:

acquiring an echo signal of a target object in a sleep state through target monitoring equipment, wherein the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object;

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

carrying out spectrum analysis on the inching signal to obtain a chromatogram of the inching signal;

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

2. The method of claim 1, wherein extracting a micromovement signal for each range bin in the echo signal comprises:

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

performing clutter suppression on the distance dimensional complex signals of the plurality of Chirps in each frame along a slow time dimension, and performing non-coherent accumulation on the distance dimensional complex signals subjected to clutter suppression to obtain a fast-scale one-dimensional range profile;

extracting a distance dimension complex signal indexed by a target Chirp in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range profile by using the distance dimension complex data subjected to clutter suppression;

and extracting the phase of the distance dimensional complex signal indexed by each frame of the target Chirp, 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 jogging signal extracted in a slow scale.

3. The method of claim 2, wherein clutter suppression is performed on a plurality of Chirp distance-dimensional complex signals along a slow time dimension in each frame, and after obtaining a fast-scale one-dimensional range profile by non-coherent accumulation on the clutter suppressed distance-dimensional complex signals, the method further comprises:

extracting the energy of an 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.

4. The method of claim 2, wherein the target monitoring device is a radar, after extracting a Chirp-indexed distance-dimensional complex signal of the target in each frame, performing clutter suppression in a frame time dimension, and generating a slow-scale one-dimensional range image using the clutter suppressed distance-dimensional complex data, 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 a radar;

and evaluating the corresponding relation between a target part of the target object and a 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 cavity of the target object is not included in the target part.

5. The method of claim 4, wherein after determining the correspondence of the chest position to a distance element 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 a chromatogram of the micro-motion signal to perform peak value search along a frequency axis to obtain a search result;

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

6. The method according to claim 4, wherein if the target portion is an abdomen, after evaluating the correspondence relationship between the target portion of the target object and the distance unit 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 the spectral peak energy of the distance unit of the radar corresponding to the chest position of the target object in the chromatogram of the micro-motion signal;

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

and judging whether the target object is chest breathing or abdominal breathing 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.

7. The method of claim 4, wherein if the target portion is a leg, after estimating the correspondence between the target portion of the target object and the distance unit 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:

and detecting whether the target object has the leg restlessness phenomenon or not by analyzing the frequency spectrum characteristics of the distance unit of the radar corresponding to the leg in the chromatogram of the micro-motion signal.

8. 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 a frame time dimension to obtain a micro-motion signal filtered by each distance unit;

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

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

transmitting a frequency modulated continuous wave signal through the target monitoring device;

receiving, by the target monitoring device, an echo signal reflected by the target object;

performing frequency mixing processing on 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.

10. A vital sign information monitoring device, comprising:

the target monitoring device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an echo signal of a target object in a sleep state through target monitoring equipment, and the target monitoring equipment is radar monitoring equipment which is not needed to be worn by the target object;

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

the first analysis unit is used for carrying out spectrum analysis on the micromotion signal to obtain a chromatogram of the micromotion signal;

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

11. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to perform the vital sign information monitoring method of any one of claims 1 to 9 when running.

12. 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 one of claims 1 to 9.