CN113397524B

CN113397524B - Respiration detection method, device, equipment and storage medium

Info

Publication number: CN113397524B
Application number: CN202110666059.4A
Authority: CN
Inventors: 阳召成; 罗冰; 吴菀华
Original assignee: Shenzhen University
Current assignee: Shenzhen University
Priority date: 2021-06-16
Filing date: 2021-06-16
Publication date: 2023-01-06
Anticipated expiration: 2041-06-16
Also published as: CN113397524A

Abstract

The invention discloses a breath detection method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining distance information of a target according to each historical echo signal in the current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining respiration waveforms corresponding to the target echo signals; and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum. According to the technical scheme, the distance information of the target in the current environment is firstly determined, the breathing detection area is determined according to the distance information, the target echo signal is received in the breathing detection area based on at least one channel, the breathing waveform corresponding to each target echo signal is determined, the power spectrum of each breathing waveform is further determined, the target breathing waveform is determined according to each power spectrum, the breathing detection of the target at any time and any place is achieved, the breathing detection efficiency is improved, and the application scene of the breathing detection is expanded.

Description

Respiration detection method, device, equipment and storage medium

Technical Field

The embodiments of the present invention relate to radar technologies, and in particular, to a respiration detection method, apparatus, device, and storage medium.

Background

With the development of social economy, people pay more and more attention to their health conditions, which are mainly reflected in vital signs such as respiration, heart rate, blood pressure, and the like. The respiration can directly and objectively reflect the current physiological state of the human body, and therefore, the respiration signal detection method has great significance for detecting the human body respiration signal.

In the prior art, the respiratory signal of a human body can be detected based on Polysomnography (PSG) instrument. The PSG detection instrument can measure rich and accurate sign information, and is considered as a gold standard for vital sign detection.

However, the PSG detection apparatus requires a professional medical worker to operate the PSG detection apparatus, and the PSG detection apparatus is not suitable for use in daily life because various sensors need to be worn, which causes a user to feel a large foreign body sensation.

Therefore, a respiration detection method is needed to perform accurate respiration detection on human body anytime and anywhere.

Disclosure of Invention

The invention provides a respiration detection method, a respiration detection device, respiration detection equipment and a storage medium, which are used for realizing accurate respiration detection of a human body at any time and any place.

In a first aspect, an embodiment of the present invention provides a respiration detection method, which includes:

determining distance information of a target according to each historical echo signal in the current environment;

determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal;

and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum.

The embodiment of the invention provides a respiration detection method, which comprises the following steps: determining distance information of a target according to each historical echo signal in the current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining respiration waveforms corresponding to the target echo signals; and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum. According to the technical scheme, the distance information of the target in the current environment can be determined, the breathing detection area is determined according to the distance information, then the target echo signal can be received in the breathing detection area based on at least one channel, so that the breathing waveform corresponding to each target echo signal can be determined, the power spectrum of each breathing waveform can be further determined, the target breathing waveform can be determined according to each power spectrum, the breathing detection of the target in the current environment can be realized anytime and anywhere, the breathing detection efficiency is improved, and the application scene of the breathing detection is expanded.

Further, determining distance information of the target according to each historical echo signal in the current environment, including:

determining echo energy of each historical echo signal, and determining the historical echo signal corresponding to the maximum echo energy as a target historical echo signal;

and determining the distance information of the target according to the historical echo signal of the target.

Further, determining a respiration detection region according to the distance information includes:

and determining a distance range according to the distance information, and determining the respiration detection area according to the distance range.

Further, determining a respiration waveform corresponding to each of the target echo signals includes:

determining real part information and imaginary part information of the target echo signal and waveform length;

and determining the respiratory waveform according to the distance range, the real part information, the imaginary part information, the channel number and the waveform length.

Further, determining a power spectrum for each of the respiratory waveforms, comprising:

an autocorrelation estimation sequence of the respiration waveform is determined, and the power spectrum is determined from the autocorrelation estimation sequence.

Further, determining a target respiration waveform from each of the power spectra, comprising:

determining the signal-to-noise ratio of each target echo signal according to each power spectrum;

and determining the respiratory waveform corresponding to the maximum signal-to-noise ratio as the target respiratory waveform.

Further, still include:

and determining a target respiratory frequency according to the target respiratory waveform.

In a second aspect, an embodiment of the present invention further provides a respiration detection device, including:

the distance information determining module is used for determining the distance information of the target according to each historical echo signal in the current environment;

the respiratory waveform determining module is used for determining a respiratory detection area according to the distance information, receiving target echo signals in the respiratory detection area based on at least one channel, and determining a respiratory waveform corresponding to each target echo signal;

and the target respiration waveform determining module is used for determining the power spectrum of each respiration waveform and determining the target respiration waveform according to each power spectrum.

In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a breath detection method as in any one of the first aspects.

In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions for performing a method of breath detection as described in any one of the first aspects when executed by a computer processor.

In a fifth aspect, the present application provides a computer program product comprising computer instructions which, when run on a computer, cause the computer to perform the method of breath detection as provided in the first aspect.

It should be noted that the computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged with the processor of the respiration detection device, or may be packaged separately from the processor of the respiration detection device, which is not limited in this application.

For the descriptions of the second, third, fourth and fifth aspects in this application, reference may be made to the detailed description of the first aspect; in addition, for the beneficial effects described in the second aspect, the third aspect, the fourth aspect and the fifth aspect, reference may be made to the beneficial effect analysis of the first aspect, and details are not repeated here.

In the present application, the names of the above-mentioned breath detection means do not constitute a limitation on the devices or functional modules themselves, which may appear under other names in a practical implementation. As long as the functions of the respective devices or functional modules are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalents.

These and other aspects of the present application will be more readily apparent from the following description.

Drawings

Fig. 1 is a schematic view of an application scenario of a respiration detection method according to an embodiment of the present invention;

FIG. 2 is a flowchart of a breath detection method according to an embodiment of the present invention;

fig. 3 is a flowchart of a respiration detection method according to a second embodiment of the present invention;

fig. 4a and fig. 4b are schematic diagrams of respiratory rates respectively determined by eight single channels in a respiratory detection method according to a second embodiment of the present invention, and fig. 4c is a schematic diagram of respiratory rates determined by multiple channels in a respiratory detection method according to a second embodiment of the present invention;

fig. 5 is a schematic structural diagram of a respiration detection device according to a third embodiment of the present invention;

fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.

The terms "first" and "second" and the like in the specification and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.

Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements recited, but may alternatively include other steps or elements not recited, or may alternatively include other steps or elements inherent to such process, method, article, or apparatus.

Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "such as" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion.

In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.

Fig. 1 is a schematic view of an application scenario of the respiration detection method according to the embodiment of the present invention, as shown in fig. 1, a radar device may be disposed obliquely above a target, an antenna included in the radar device may transmit an electromagnetic wave signal with a chirp continuous waveform to a current environment, and a radar receiving module may receive a discrete echo generated by scattering the electromagnetic wave signal by the target to generate an echo signal. Specifically, the radar apparatus may be disposed at a height of 1.2m from the ground, and may be located at a distance of 1m from the target thorax.

Wherein the target may be a human body.

The respiration detection method provided by the embodiment of the present invention will be described with reference to fig. 1.

Example one

Fig. 2 is a flowchart of a respiration detection method according to an embodiment of the present invention, where the present embodiment is applicable to a situation where respiration detection is required to be performed on a target anytime and anywhere, and the method may be performed by a respiration detection apparatus, and specifically includes the following steps:

and step 210, determining the distance information of the target according to each historical echo signal in the current environment.

In the embodiment of the invention, a multi-channel radar receiving module is adopted, preferably an eight-channel radar receiving module is adopted, and then the historical echo signals can be received through eight channels.

The echo signal may be a three-dimensional data cubic signal and may be represented as s [ m, n, k ], where m represents a slow time dimension and is an mth pulse echo, n represents a fast time dimension and is an nth distance sampling unit, k represents an antenna index and is a kth antenna, that is, a kth channel. The historical echo signals include echo signals within a historical time period, which may be one or ten minutes prior to the current time.

Specifically, the server may first determine echo energy of the historical echo signal received by each channel, and determine the historical echo signal corresponding to the largest echo energy as the historical echo signal of the target, and then may determine distance information of the target according to the historical echo signal of the target, thereby implementing coarse positioning of the target. Specifically, fast fourier transform may be performed on the target historical echo signal based on the fast time dimension n, and distance information of the target historical echo signal is extracted. The distance information N of the target historical echo signal can be determined according to the formula (1) _tg ：

N _tg ＝FFT{s[m,n,k]} (1)

Wherein N is _tg The distance information is the distance information corresponding to the target historical echo signal extracted by performing fast Fourier transform on the target historical echo signal based on the fast time dimension n, and the distance information can comprise a plurality of distancesDiscrete distance units.

In the embodiment of the invention, after the historical echo signal is received, the historical echo signal can be processed to obtain a more accurate historical echo signal, so that the respiration detection is more accurate. Specifically, the historical echo signals may be subjected to fourier transform based on the fast time dimension n, then the historical echo signals of the slow time dimension M in the same frame are subjected to coherent accumulation, and finally the historical echo signals of the M frames are subjected to moving average accumulation to obtain the processed historical echo signal x (M, n, k).

It should be noted that the distance information of the target may be determined based on a server or an onboard processor, which may be integrated in the vehicle system, and may be an Advanced reduced instruction set computer (ARM) processor.

Step 220, determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal.

Specifically, the distance range and further the respiration detection area can be determined according to the distance information and the preset error, for example, when the preset error is 5cm, [ N ] can be determined _tg -5,N _tg +5]The distance range is determined, and the distance between the radar receiving module and the radar receiving module is further within N _tg -5,N _tg +5]The location area in between is determined as the respiration detection area.

Furthermore, the target echo signal of the respiration detection area can be received based on at least one channel of the radar receiving module. The target echo signals of eight channels may then be used as candidates, and then a respiration waveform, i.e., a respiration waveform corresponding to each target echo signal, is estimated for each candidate. Methods that can be taken are Differential and cross-multiplication (DACM) based algorithms and methods based on anti-tangent and dephasing winding, among others. In the following, the DACM method is taken as an example, and specifically, the respiration waveform corresponding to the target echo signal may be determined according to the formula (2):

wherein phi is _n,k (p) is the respiration waveform corresponding to the target echo signal, I _n,k (m) is the real part, Q, of the target echo signal _n,k (m) is the imaginary part of the target echo signal, N is the respiration detection area, and the value range is [ N _tg -5,N _tg -5]K is the number of channels, and the value range is [0,7 ]]And p has a value range of [1, L-1 ]]And L is the window length of the sliding window.

In the embodiment of the invention, the target echo signals can be received based on eight channels, and then eight respiratory waveforms are determined and obtained based on the target echo signals corresponding to the eight channels respectively.

Step 230, determining a power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum.

The power spectrum is a short term of a power spectral density function, and can be defined as signal power in a unit frequency band. The variation of the signal power of the target echo signal with frequency, i.e. the distribution of the signal power in the frequency domain, can be represented, and further the variation of the signal power with frequency can be represented.

Specifically, the respiration waveform Φ corresponding to each target echo signal can be estimated _n,k (P) power spectrum P _n,k And (omega), determining the signal-to-noise ratio of each target echo signal according to the power spectrum. And comparing the signal-to-noise ratio of each target echo signal, determining the respiratory waveform corresponding to the maximum signal-to-noise ratio as a target respiratory waveform, and further determining the target respiratory waveform as a respiratory detection result.

In the embodiment of the invention, the maximum signal-to-noise ratio can be the signal-to-noise ratio with the best quality, namely the highest signal-to-noise ratio, and the highest signal-to-noise ratio can correspond to the optimal, namely the most accurate and most reliable respiration waveform.

According to the respiration detection method provided by the embodiment of the invention, the distance information of a target is determined according to each historical echo signal in the current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining respiration waveforms corresponding to the target echo signals; and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum. According to the technical scheme, the distance information of the target in the current environment can be determined, the breathing detection area is determined according to the distance information, then the target echo signal can be received in the breathing detection area based on at least one channel, so that the breathing waveform corresponding to each target echo signal can be determined, the power spectrum of each breathing waveform can be further determined, the target breathing waveform can be determined according to each power spectrum, the breathing detection of the target in the current environment can be realized anytime and anywhere, the breathing detection efficiency is improved, and the application scene of the breathing detection is expanded.

Example two

Fig. 3 is a flowchart of a respiration detection method according to a second embodiment of the present invention, which is embodied on the basis of the second embodiment. In this embodiment, the method may further include:

and step 310, determining distance information of the target according to each historical echo signal in the current environment.

In one embodiment, step 310 may specifically include:

determining echo energy of each historical echo signal, and determining the historical echo signal corresponding to the maximum echo energy as a target historical echo signal; and determining the distance information of the target according to the historical echo signal of the target.

Specifically, the historical echo signals can be received through eight channels, the echo energy of each historical echo signal is determined, the historical echo signal corresponding to the maximum echo energy is determined as the historical echo signal of the target, and further the distance information N of the target can be determined according to the historical echo signal of the target _tg And realizing coarse positioning of the target.

As described in the first embodiment, after receiving the historical echo signal, the historical echo signal may be processed to obtain a processed historical echo signal x (m, n, k) so as to obtain a more accurate historical echo signal, and further make the respiration detection more accurate.

Of course, before determining the distance information of the target according to the historical echo signals in the current environment, the historical echo signals can also be received through the radar receiving module.

And step 320, determining a respiration detection area according to the distance information.

In one embodiment, step 320 may specifically include:

Specifically, a distance range may be determined from the distance information and a preset error, and a respiration detection region may be determined. For example, when the preset error is 5cm, [ N ] can be set _tg -5,N _tg +5]The distance range is determined, and the distance between the radar receiving module and the radar receiving module is further within N _tg -5,N _tg +5]The location area in between is determined as the respiration detection area.

Step 330, receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal.

In one embodiment, determining a respiration waveform corresponding to each of the target echo signals includes:

determining real part information and imaginary part information of the target echo signal and waveform length; and determining the respiratory waveform according to the distance range, the real part information, the imaginary part information, the number of channels of a radar receiving module and the waveform length, wherein the radar receiving module is used for receiving the target echo signal.

Specifically, first, the real part information of the target echo signal can be determined as I _n,k (m) imaginary information Q _n,k (m) the waveform length is L, and the predetermined distance range may be [ N ] _tg -5,N _tg +5]The number of channels of the radar receiving module may be 8, and then the respiration waveform corresponding to the target echo signal may be determined based on formula (2):

wherein phi is _n,k (p) is the respiration waveform corresponding to the target echo signal, I _n，k (m) is the real part, Q, of the target echo signal _n，k (m) is the imaginary part of the target echo signal, N is the respiration detection area, and the value range is [ N _tg -5，N _tg -5]K is the number of channels and has a value range of [0,7 ]]And p has a value range of [1, L-1 ]]L is the window length of the sliding window, i.e. the length of the waveform.

Step 340, determining a power spectrum of each respiratory waveform.

In one embodiment, step 340 may specifically include:

Specifically, an autocorrelation sequence of the respiratory waveform may be first determined, and the autocorrelation sequence may then be fourier transformed to determine a power spectrum of the respiratory waveform. Specifically, the autocorrelation sequence of the respiration waveform may be determined according to formula (3), and the power spectrum of the respiration waveform may be determined according to formula (4):

wherein L is a respiratory waveform phi _n,k (p) length, N is the autocorrelation estimation sequence

Length of (d).

And step 350, determining a target respiration waveform according to each power spectrum.

In one embodiment, step 350 may specifically include:

determining the signal-to-noise ratio of each target echo signal according to each power spectrum; and determining the target respiration waveform according to the respiration waveform corresponding to the maximum signal-to-noise ratio.

The signal-to-noise ratio may be a ratio of a signal to noise in an electronic device or an electronic system. The signal refers to an electronic signal which comes from the outside of the device and needs to be processed by the device, the noise refers to an irregular additional signal which does not exist in an original signal generated after the device passes through, and the signal does not change along with the change of the original signal. The higher the signal-to-noise ratio value, the less the relative noise. In the embodiment of the present invention, the signal-to-noise ratio may be a ratio of a target echo signal to noise.

In particular, the power spectrum P may be divided according to a preset frequency range _n,k (omega) is divided into two parts, the preset frequency range can be 0.1Hz-1Hz, the target echo signal with the frequency range of 0.1Hz-1Hz can be an effective signal, the target echo signal with the frequency range of 0.1Hz-1Hz can be noise, and then the power spectrum of the effective signal can be recorded as P _n,k (ω ₁ ) Let the power spectrum of the noise be denoted as P _n,k (ω ₂ )。

Can be according to P _n,k (ω ₁ ) Maximum value of (1) and P _n,k (ω ₂ ) Determines the signal-to-noise ratio SNR of the quotient of the mean values _n,k To obtain the signal-to-noise ratio SNR of each target echo signal _n,k Further, the maximum SNR can be obtained _n,k The respiration waveform corresponding to the corresponding target echo signal is determined as a target respiration waveform, and then the target respiration waveform can be determined as a respiration detection result.

And step 360, determining a target breathing frequency according to the target breathing waveform.

In particular, a fourier transform may be performed on the respiration signal corresponding to the respiration waveform to determine the target respiration frequency. For example, fourier transform may be performed on the respiratory signals determined by the eight single channels to obtain respiratory frequencies corresponding to the eight single channels; and Fourier change can be carried out on the respiratory signal corresponding to the target echo signal with the optimal signal-to-noise ratio in the eight channels, so that the respiratory frequency determined by the multiple channels is obtained.

Fig. 4a and 4b are schematic diagrams illustrating respiratory frequencies respectively determined by eight single channels in a respiratory detection method according to a second embodiment of the present invention, as shown in fig. 4a and 4b, the respiratory frequencies respectively determined by the eight single channels are compared with the respiratory frequency acquired by a multi-lead physiological recorder, and it can be known that the respiratory frequencies respectively determined by the eight single channels are not high in accuracy and reliability. Fig. 4c is a schematic diagram of the respiratory frequency determined by multiple channels in the respiratory detection method according to the second embodiment of the present invention, and as shown in fig. 4c, the respiratory frequency determined by multiple channels is compared with the respiratory frequency acquired by the multi-lead physiological recorder, so that it can be known that the respiratory frequency determined by multiple channels has higher accuracy and reliability.

In the respiration detection method provided by the second embodiment of the present invention, distance information of a target is determined according to each historical echo signal in a current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal; and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum. According to the technical scheme, the distance information of the target in the current environment can be determined, the breathing detection area is determined according to the distance information, then the target echo signal can be received in the breathing detection area based on at least one channel, so that the breathing waveform corresponding to each target echo signal can be determined, the power spectrum of each breathing waveform can be further determined, the target breathing waveform can be determined according to each power spectrum, the breathing detection of the target in the current environment can be realized anytime and anywhere, the breathing detection efficiency is improved, and the application scene of the breathing detection is expanded.

In addition, the target breathing frequency can be determined according to the target breathing waveform in the embodiment of the invention, and the obtained target breathing waveform is closer to the breathing frequency acquired by the multi-lead physiological recorder, so that the accuracy and the reliability are higher.

Secondly, the breath detection method provided by the embodiment of the invention also has the advantages of complete non-contact, no influence by weather and environmental change, all-weather work all the day, no invasion to personal privacy and the like.

EXAMPLE III

Fig. 5 is a schematic structural diagram of a respiration detection device according to a third embodiment of the present invention, where the device can be applied to a situation where a target needs to be detected by respiration anytime and anywhere, so as to improve respiration detection efficiency. The apparatus may be implemented in software and/or hardware and is typically integrated in a breath detection device, such as a computer.

As shown in fig. 5, the apparatus includes:

a distance information determining module 510, configured to determine distance information of a target according to each historical echo signal in a current environment;

a respiratory waveform determining module 520, configured to determine a respiratory detection area according to the distance information, receive target echo signals in the respiratory detection area based on at least one channel, and determine a respiratory waveform corresponding to each target echo signal;

a target respiration waveform determining module 530, configured to determine a power spectrum of each of the respiration waveforms, and determine a target respiration waveform according to each of the power spectrums.

The respiration detection device provided by the embodiment determines distance information of a target according to each historical echo signal in the current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal; and determining the power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum. According to the technical scheme, the distance information of the target in the current environment can be determined, the breathing detection area is determined according to the distance information, then the target echo signal can be received in the breathing detection area based on at least one channel, so that the breathing waveform corresponding to each target echo signal can be determined, the power spectrum of each breathing waveform can be further determined, the target breathing waveform can be determined according to each power spectrum, the breathing detection of the target in the current environment can be realized anytime and anywhere, the breathing detection efficiency is improved, and the application scene of the breathing detection is expanded.

On the basis of the foregoing embodiment, the distance information determining module 510 is specifically configured to:

On the basis of the foregoing embodiment, the respiration waveform determining module 520 is specifically configured to:

determining a distance range according to the distance information, and determining the breath detection area according to the distance range;

and receiving target echo signals in the respiration detection area based on at least one channel, and determining a respiration waveform corresponding to each target echo signal.

determining a respiration detection area according to the distance information;

receiving a target echo signal within the breath detection region based on at least one channel;

On the basis of the foregoing embodiment, the target respiration waveform determining module 530 is specifically configured to:

determining an autocorrelation estimation sequence of the respiration waveform and determining the power spectrum from the autocorrelation estimation sequence;

and determining a target respiration waveform according to each power spectrum.

determining a power spectrum for each of the respiratory waveforms;

and determining the target respiration waveform according to the respiration waveform corresponding to the maximum signal-to-noise ratio.

On the basis of the above embodiment, the apparatus further comprises:

The breath detection device provided by the embodiment of the invention can execute the breath detection method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

Fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, and fig. 6 shows a block diagram of an exemplary electronic device 7 suitable for implementing the embodiment of the present invention. The electronic device 7 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 6, the electronic device 7 is in the form of a general purpose computing electronic device. The components of the electronic device 7 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

The electronic device 7 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 7 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The electronic device 7 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

Electronic device 7 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with electronic device 7, and/or with any devices (e.g., network card, modem, etc.) that enable electronic device 7 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 7 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 20. As shown in fig. 6, the network adapter 20 communicates with other modules of the electronic device 7 via the bus 18. It should be understood that although not shown in FIG. 6, other hardware and/or software modules may be used in conjunction with electronic device 7, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processing unit 16 executes programs stored in the system memory 28 to perform various functional applications and page displays, such as implementing the breath detection method provided by the present embodiment,

wherein, the method comprises the following steps:

determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining respiration waveforms corresponding to the target echo signals;

Of course, it will be understood by those skilled in the art that the processor may also implement the technical solution of the respiration detection method provided in any embodiment of the present invention.

EXAMPLE five

A seventh embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, implements a respiration detection method such as that provided in this embodiment, where the method includes:

Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer-readable storage medium may be, for example but not limited to: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It will be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general purpose computing device, they can be centralized in a single computing device or distributed over a network of multiple computing devices, and they can alternatively be implemented by program code executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be separately fabricated into various integrated circuit modules, or multiple modules or steps thereof can be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method of breath detection, comprising:

determining distance information of a target according to each historical echo signal in the current environment; determining a respiration detection area according to the distance information, receiving target echo signals in the respiration detection area based on at least one channel, and determining respiration waveforms corresponding to the target echo signals;

determining a power spectrum of each respiratory waveform, and determining a target respiratory waveform according to each power spectrum;

said determining a target respiration waveform from each of said power spectra comprising:

each target echo signal comprises a respiration waveform of each channel in a respiration detection area;

determining the respiration waveform corresponding to the maximum signal-to-noise ratio as the target respiration waveform;

determining distance information of a target according to each historical echo signal in the current environment, wherein the distance information comprises the following steps:

determining the distance information of the target according to the historical echo signal of the target;

determining a respiration detection region from the distance information, comprising:

determining a distance range according to the distance information and a preset error, and determining the respiration detection area according to the distance range;

the echo signal is a three-dimensional data cubic signal and is represented as s [ m, n, k ], m represents a slow time dimension and is an mth pulse echo, n represents a fast time dimension and is an nth distance sampling unit, k represents an antenna index and is a kth antenna, namely a kth channel;

determining distance information of target historical echo signal according to formula

：

Based on the fast time dimension

And performing fast Fourier transform on the target historical echo signal to extract distance information corresponding to the target historical echo signal, wherein the distance information comprises a plurality of discrete distance units.

2. The respiration detection method according to claim 1, wherein determining the respiration waveform corresponding to each of the target echo signals comprises:

and determining the respiratory waveform according to the distance range, the real part information, the imaginary part information, the channel number of a radar receiving module and the waveform length, wherein the radar receiving module is used for receiving the target echo signal.

3. The method of claim 1, wherein determining a power spectrum of each of the respiratory waveforms comprises:

4. The breath detection method according to claim 1, further comprising:

and determining a target breathing frequency according to the target breathing waveform.

5. A breath detection device, comprising:

the target respiration waveform determining module is used for determining the power spectrum of each respiration waveform and determining a target respiration waveform according to each power spectrum;

a target respiration waveform determination module, specifically configured to:

the distance information determining module is specifically configured to:

determining the echo energy of each historical echo signal, and determining the historical echo signal corresponding to the maximum echo energy as a target historical echo signal;

a respiratory waveform determination module, specifically configured to:

determining a distance range according to the distance information and a preset error, and determining the breath detection area according to the distance range;

the echo signal is a three-dimensional data cubic signal and is expressed as s [ m, n, k ], m represents a slow time dimension and is the mth pulse echo, n represents a fast time dimension and is the nth distance sampling unit, k represents an antenna index and is the kth antenna, namely the kth channel;

：

The above-mentioned

Based on the fast time dimension

6. An electronic device, characterized in that the electronic device comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement a breath detection method as in any of claims 1-4.

7. A storage medium containing computer executable instructions for performing the breath detection method of any of claims 1-4 when executed by a computer processor.