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

Abstract

The invention discloses a breathing detection method, device, equipment and storage medium. The method includes: determining the distance information of the target according to each historical echo signal in the current environment; The target echo signal is received in the detection area, and the respiratory waveform corresponding to each target echo signal is determined; the power spectrum of each respiratory waveform is determined, and the target respiratory waveform is determined according to each power spectrum. The above technical solution first determines the distance information of the target in the current environment, and determines the breathing detection area according to the distance information, and then receives the target echo signal in the breathing detection area based on at least one channel to determine the breathing waveform corresponding to each target echo signal , and then determine the power spectrum of each respiration waveform, and determine the target respiration waveform according to each power spectrum, realize the respiration detection of the target anytime and anywhere, improve the efficiency of respiration detection and expand the application scenarios of respiration detection.

Description

A breathing detection method, device, equipment and storage medium

technical field

Embodiments of the present invention relate to radar technology, and in particular, to a breath detection method, device, equipment, and storage medium.

Background technique

With the development of social economy, people pay more and more attention to their own health, and the health of the human body is mainly reflected in vital signs such as breathing, heart rate, and blood pressure. Among them, respiration can directly and objectively reflect the current physiological state of the human body, therefore, it is of great significance to detect the human respiration signal.

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

However, the use of PSG detection equipment requires professional medical personnel to operate, and it needs to wear various sensors, which will cause a large foreign body sensation to the user, and is not suitable for use in daily life.

Therefore, there is an urgent need for a breathing detection method, so as to carry out relatively accurate breathing detection on the human body anytime and anywhere.

Contents of the invention

The invention provides a breath detection method, device, equipment and storage medium, so as to realize relatively accurate breath detection of a human body anytime and anywhere.

In a first aspect, an embodiment of the present invention provides a breath detection method, the method comprising:

Determine the distance information of the target according to the historical echo signals in the current environment;

Determine a respiration detection area according to the distance information, receive target echo signals in the respiration detection area based on at least one channel, and determine a respiration waveform corresponding to each of the target echo signals;

The power spectrum of each of the respiratory waveforms is determined, and the target respiratory waveform is determined according to each of the power spectra.

An embodiment of the present invention provides a breath detection method, the method comprising: determining the distance information of the target according to each historical echo signal in the current environment; The target echo signal is received, and the respiratory waveform corresponding to each target echo signal is determined; the power spectrum of each respiratory waveform is determined, and the target respiratory waveform is determined according to each power spectrum. The above technical solution can first determine the distance information of the target in the current environment, and then determine the breathing detection area according to the distance information, and then can receive the target echo signal in the breathing detection area based on at least one channel to determine the corresponding target echo signal. Respiratory waveform, and then can determine the power spectrum of each respiratory waveform, and determine the target respiratory waveform according to each power spectrum, realize the breathing detection of the target in the current environment anytime and anywhere, improve the efficiency of breathing detection and expand the application scenarios of breathing detection.

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

determining the echo energy of each of the historical echo signals, and determining the historical echo signal corresponding to the largest echo energy as the target historical echo signal;

The distance information of the target is determined according to the historical echo signal of the target.

Further, determining the breathing detection area according to the distance information includes:

A distance range is determined according to the distance information, and the breathing detection area is determined according to the distance range.

Further, determining the respiratory waveform corresponding to each target echo signal includes:

Determine the real part information and imaginary part information of the target echo signal, as well as the waveform length;

The respiratory waveform is determined according to the distance range, the real part information, the imaginary part information, the number of channels and the waveform length.

Further, determining the power spectrum of each of the respiratory waveforms includes:

A sequence of autocorrelation estimates of the respiratory waveform is determined, and the power spectrum is determined from the sequence of autocorrelation estimates.

Further, determining the target respiratory waveform according to each power spectrum includes:

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

The target respiratory waveform is determined according to the respiratory waveform corresponding to the maximum signal-to-noise ratio.

Further, it also includes:

A target respiratory rate is determined according to the target respiratory waveform.

In the second aspect, the embodiment of the present invention also provides a breathing detection device, including:

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

A respiratory waveform determination module, 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;

The target respiratory waveform determination module is configured to determine the power spectrum of each of the respiratory waveforms, and determine the target respiratory waveform according to each of the power spectra.

In a third aspect, an embodiment of the present invention also provides an electronic device, the electronic device comprising:

one or more processors;

storage means for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the breathing detection method according to any one of the first aspect.

In a fourth aspect, an embodiment of the present invention also provides a storage medium containing computer-executable instructions, the computer-executable instructions are used to perform breath detection as described in any one of the first aspect when executed by a computer processor method.

In a fifth aspect, the present application provides a computer program product, the computer program product includes computer instructions, and when the computer instructions are run on a computer, the computer is made to execute the breathing detection method as provided in the first aspect.

It should be noted that all or part of the above computer instructions may be stored on a computer-readable storage medium. Wherein, the computer-readable storage medium may be packaged together with the processor of the breath detection device, or may be packaged separately with the processor of the breath detection device, which is not limited in this application.

For the description of the second aspect, the third aspect, the fourth aspect and the fifth aspect in this application, you can refer to the detailed description of the first aspect; and, the description of the second aspect, the third aspect, the fourth aspect, and the fifth aspect For the beneficial effect, you can refer to the beneficial effect analysis of the first aspect, and will not go into details here.

In this application, the names of the breathing detection devices above do not constitute limitations on the devices or functional modules themselves. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of the present application, they fall within the scope of the claims of the present application and their equivalent technologies.

These or other aspects of the present application will be more clearly understood in the following description.

Description of drawings

FIG. 1 is a schematic diagram of an application scenario of a breath detection method provided by an embodiment of the present invention;

Fig. 2 is a flow chart of a breathing detection method provided by Embodiment 1 of the present invention;

Fig. 3 is a flow chart of a breathing detection method provided by Embodiment 2 of the present invention;

Figure 4a and Figure 4b are schematic diagrams of respiratory frequencies determined by eight single-channels in a breathing detection method provided in Embodiment 2 of the present invention, and Figure 4c is a respiratory frequency determined by multiple channels in a breathing detection method provided in Embodiment 2 of the present invention Diagram of respiratory rate;

FIG. 5 is a schematic structural diagram of a breathing detection device provided in Embodiment 3 of the present invention;

FIG. 6 is a schematic structural diagram of an electronic device provided by Embodiment 4 of the present invention.

detailed description

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

The term "and/or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and/or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations.

The terms "first" and "second" in the specification and drawings of the present application are used to distinguish different objects, or to distinguish different processes for the same object, rather than to describe a specific sequence of objects.

In addition, the terms "including" and "having" mentioned in the description of the present application and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include other unlisted steps or units, or may optionally also include Other steps or elements inherent to the process, method, product or apparatus are included.

Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe various operations (or steps) as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like. In addition, the embodiments and the features in the embodiments of the present invention can be combined with each other under the condition of no conflict.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used as examples, illustrations or descriptions. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application shall not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

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

Figure 1 is a schematic diagram of the application scene of the breathing detection method provided by the embodiment of the present invention. As shown in Figure 1, the radar device can be arranged obliquely above the target, and the antenna included in the radar device can transmit an electromagnetic wave signal of linear frequency modulation continuous waveform to the current environment, the radar receiving module can receive the discrete echoes generated by the scattered electromagnetic wave signal of the target to generate echo signals. Specifically, the radar device may be set at a height of 1.2m from the ground, and the distance from the chest of the target may be 1m.

Wherein, the target may be a human body.

The breath detection method provided by the embodiment of the present invention will be described below with reference to FIG. 1 .

Embodiment one

Fig. 2 is a flow chart of a breath detection method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where a target needs to be breath detected anytime and anywhere. The method can be executed by a breath detection device, and specifically includes the following steps :

Step 210: Determine the distance information of the target according to the historical echo signals in the current environment.

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

Among them, the echo signal can be a three-dimensional data cube signal, which can be expressed as s[m,n,k], where m represents the slow time dimension, which is the mth pulse echo, and n represents the fast time dimension, which is the nth distance sampling units, and k represents the antenna index, which is the kth antenna, that is, the kth channel. The historical echo signals include echo signals in a historical time period, and the historical time period may be one minute or ten minutes before the current time.

Specifically, the server can first determine the echo energy of the historical echo signals received by each channel, and determine the historical echo signal corresponding to the largest echo energy as the target historical echo signal, and then can according to the target historical echo signal Determine the distance information of the target and realize the rough positioning of the target. Specifically, based on the fast time dimension n, a fast Fourier transform can be performed on the historical echo signal of the target to extract the distance information of the historical echo signal of the target. Specifically, the distance information N _tg of the historical echo signal of the target can be determined according to formula (1):

N _tg = FFT{s[m,n,k]} (1)

Wherein, N _tg 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 may include multiple discrete distance units.

In the embodiment of the present invention, after the historical echo signal is received, the historical echo signal may be processed to obtain a more accurate historical echo signal, which further makes breathing detection more accurate. Specifically, the historical echo signals can be Fourier transformed based on the fast time dimension n, and then the historical echo signals of the slow time dimension m in the same frame can be coherently accumulated, and finally the moving average accumulation can be performed on the historical echo signals of M frames to obtain 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 a vehicle-mounted processor, the vehicle-mounted processor may be integrated in a vehicle system, and the vehicle-mounted processor may be an Advanced RISC Machine (ARM) processor.

Step 220: Determine a respiration detection area according to the distance information, receive target echo signals in the respiration detection area based on at least one channel, and determine a respiration waveform corresponding to each of the target echo signals.

Specifically, the distance range can be determined according to the distance information and the preset error, and the breathing detection area can be further determined. For example, when the preset error is 5cm, [N _tg -5, N _tg +5] can be determined as the distance range, and further A location area whose distance from the radar receiving module is between [N _tg −5, N _tg +5] can be determined as a breathing detection area.

Furthermore, the target echo signal in the breathing detection area can be received based on at least one channel of the radar receiving module. In the embodiment of the present invention, the target echo signal can be received based on eight channels of the radar receiving module. Afterwards, the target echo signals of the eight channels may be used as candidate objects, and then the respiration waveform is estimated for each candidate object, that is, the respiration waveform corresponding to each target echo signal. The methods that can be adopted include Differential and cross-multiply (DACM) algorithm and methods based on arc tangent and de-phase winding. The following uses the DACM method as an example to illustrate, specifically, the respiratory waveform corresponding to the target echo signal can be determined according to the formula (2):

Among them, Φ _n,k (p) is the respiratory waveform corresponding to the target echo signal, In _,k (m) is the real part of the target echo signal, Q _n,k (m) is the imaginary part of the target echo signal , n is the breath detection area, the value range is [N _tg -5, N _tg -5], k is the number of channels, the value range is [0,7], the value range of p is [1, L-1 ], L is the window length of the sliding window.

In the embodiment of the present invention, target echo signals may be received based on eight channels, and eight respiratory waveforms may be obtained based on target echo signals corresponding to the eight channels.

Step 230: Determine the power spectrum of each of the respiratory waveforms, and determine a target respiratory waveform according to each of the power spectra.

Wherein, the power spectrum is the abbreviation of the power spectral density function, which can be defined as the signal power in the unit frequency band. It can represent the variation of the signal power of the target echo signal with the frequency, that is, the distribution of the signal power in the frequency domain, and further represent the variation relationship of the signal power with the frequency.

Specifically, the power spectrum P _n,k (ω) of each target echo signal to the corresponding respiratory waveform Φ _n,k (p) can be estimated, and then the signal-to-noise ratio of each target echo signal can be determined according to the power spectrum. The signal-to-noise ratios of the target echo signals are compared, and the respiratory waveform corresponding to the maximum signal-to-noise ratio is determined as the target respiratory waveform, and then the target respiratory waveform can be determined as the respiratory detection result.

In the embodiment of the present invention, the maximum signal-to-noise ratio may be the signal-to-noise ratio with the best quality, that is, the highest signal-to-noise ratio, and the highest signal-to-noise ratio may correspond to the optimal, ie, the most accurate and reliable respiratory waveform.

The first embodiment of the present invention provides a breathing detection method, which determines the distance information of the target according to the historical echo signals in the current environment; determines the breathing detection area according to the distance information, and receives the breath in the breathing detection area based on at least one channel. target echo signals, and determine the respiratory waveforms corresponding to each of the target echo signals; determine the power spectrum of each of the respiratory waveforms, and determine the target respiratory waveform according to each of the power spectra. The above technical solution can first determine the distance information of the target in the current environment, and then determine the breathing detection area according to the distance information, and then can receive the target echo signal in the breathing detection area based on at least one channel to determine the corresponding target echo signal. Respiratory waveform, and then can determine the power spectrum of each respiratory waveform, and determine the target respiratory waveform according to each power spectrum, realize the breathing detection of the target in the current environment anytime and anywhere, improve the efficiency of breathing detection and expand the application scenarios of breathing detection.

Embodiment two

Fig. 3 is a flow chart of a breathing detection method provided by Embodiment 2 of the present invention, and this embodiment is embodied on the basis of the foregoing embodiments. In this embodiment, the method may also include:

Step 310: Determine the distance information of the target according to the historical echo signals in the current environment.

In one embodiment, step 310 may specifically include:

determining the echo energy of each of the historical echo signals, and determining the historical echo signal corresponding to the largest echo energy as a target historical echo signal; determining the The distance information of the target.

Specifically, the historical echo signals can be received through eight channels, and the echo energy of each historical echo signal can be determined, and the historical echo signal corresponding to the largest echo energy can be determined as the target historical echo signal, and then the target historical echo signal can be determined according to the target The distance information N _tg of the target is determined by the historical echo signal, and the rough positioning of the target is realized.

As described in the first embodiment above, after receiving the historical echo signal, the historical echo signal can be processed to obtain the processed historical echo signal x(m,n,k), so as to obtain a more accurate historical echo The signal further makes breathing detection more accurate.

Of course, before the distance information of the target is determined according to the historical echo signals in the current environment, each historical echo signal can also be received by the radar receiving module.

Step 320: Determine a breathing detection area according to the distance information.

In one embodiment, step 320 may specifically include:

A distance range is determined according to the distance information, and the breathing detection area is determined according to the distance range.

Specifically, the distance range may be determined according to the distance information and the preset error, and the breathing detection area may be determined. For example, when the preset error is 5cm, [N _tg -5, N _tg +5] can be determined as the distance range, and the distance between the radar receiving module and the radar receiving module is between [N _tg -5, N _tg +5]. The location area is determined as a breathing detection area.

Step 330: Receive target echo signals in the respiration detection area based on at least one channel, and determine respiration waveforms corresponding to each of the target echo signals.

In one embodiment, determining the respiratory waveform corresponding to each target echo signal includes:

Determine the real part information and imaginary part information of the target echo signal, and the waveform length; according to the distance range, the real part information, the imaginary part information, the number of channels of the radar receiving module and the waveform length, determine the The breathing waveform, wherein the radar receiving module is used to receive the target echo signal.

Specifically, it can first be determined that the real part information of the target echo signal is In _{, k} (m), the imaginary part information is Q _{n, k} (m), the waveform length is L, and the aforementioned determined distance range can be [N _tg -5, N _tg +5], the number of channels of the radar receiving module can be 8, and then it can be determined based on formula (2), the breathing waveform corresponding to the target echo signal:

Among them, Φ _n,k (p) is the respiratory waveform corresponding to the target echo signal, I _n,k (m) is the real part of the target echo signal, Q _n,k (m) is the imaginary part of the target echo signal , n is the breath detection area, the value range is [N _tg -5, N _tg -5], k is the number of channels, the value range is [0,7], the value range of p is [1, L-1 ], L is the window length of the sliding window, that is, the length of the waveform.

In the embodiment of the present invention, target echo signals may be received based on eight channels, and eight respiratory waveforms may be obtained based on target echo signals corresponding to the eight channels.

Step 340. Determine the power spectrum of each respiratory waveform.

In one embodiment, step 340 may specifically include:

A sequence of autocorrelation estimates of the respiratory waveform is determined, and the power spectrum is determined from the sequence of autocorrelation estimates.

Specifically, the autocorrelation sequence of the respiratory waveform can be determined first, and then the autocorrelation sequence can be Fourier transformed to determine the power spectrum of the respiratory waveform. Specifically, the autocorrelation sequence of the respiratory waveform can be determined according to formula (3), and the power spectrum of the respiratory waveform can be determined according to formula (4):

的长度。Among them, L is the length of respiratory waveform Φ _n,k (p), N is the autocorrelation estimation sequence

length.

Step 350. Determine the target respiratory waveform according to each of the power spectra.

In one embodiment, step 350 may specifically include:

The signal-to-noise ratio of each target echo signal is determined according to each power spectrum; and the target respiratory waveform is determined according to the respiratory waveform corresponding to the maximum signal-to-noise ratio.

Wherein, the signal-to-noise ratio may be a ratio of signal to noise in an electronic device or an electronic system. Signal refers to the electronic signal from the outside of the device that needs to be processed by this device. Noise refers to the irregular extra signal that does not exist in the original signal generated after passing through the device, and the signal does not change with the original signal. And change. The higher the SNR value, the smaller the relative noise. In the embodiment of the present invention, the signal-to-noise ratio may be a ratio of target echo signal to noise.

Specifically, the power spectrum P _n,k (ω) can be divided into two parts according to the preset frequency range, the preset frequency range can be 0.1 Hz-1 Hz, and the target echo signal with a frequency range of 0.1 Hz-1 Hz can be an effective signal, the target echo signal with a 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 ), and the power spectrum of the noise can be recorded as P _n,k (ω ₂ ).

The signal-to-noise ratio SNR _n,k can be determined according to the quotient of the maximum value of P n, _k (ω ₁ ) and the mean value of P _n,k (ω ₂ ), so as to obtain the signal-to-noise ratio SNR _{n, k} , and then the respiration waveform corresponding to the target echo signal corresponding to the maximum signal-to-noise ratio SNR _n,k can be determined as the target respiration waveform, and then the target respiration waveform can be determined as the respiration detection result.

Step 360: Determine the target respiratory frequency according to the target respiratory waveform.

Specifically, Fourier transform may be performed on the respiratory signal corresponding to the respiratory waveform to determine the target respiratory frequency. For example, Fourier transform can be performed on the respiratory signals determined by the eight single channels to obtain the respiratory frequency corresponding to the eight single channels; the respiratory signal corresponding to the target echo signal with the best signal-to-noise ratio among the eight channels can also be obtained A Fourier transform is performed to obtain a multi-channel determined respiratory rate.

Fig. 4a and Fig. 4b are schematic diagrams of the respiratory frequency respectively determined by eight single-channels in a breathing detection method provided by Embodiment 2 of the present invention. As shown in Fig. 4a and Fig. 4b, the respiratory frequency respectively determined by the eight single-channel and Comparing the respiratory frequency obtained by the multi-channel physiological recorder, it can be known that the accuracy and reliability of the respiratory frequency determined by the eight single channels are not high. Fig. 4c is a schematic diagram of the respiratory frequency determined by multi-channel in a breathing detection method provided by Embodiment 2 of the present invention. As shown in Fig. 4c, the respiratory frequency determined by multi-channel is compared with the respiratory frequency obtained by the multi-channel physiological recorder , it can be known that the accuracy and reliability of the respiratory frequency determined by the multi-channel are higher.

A breath detection method provided in Embodiment 2 of the present invention determines the distance information of the target according to each historical echo signal in the current environment; determines the breath detection area according to the distance information, and receives the breath within the breath detection area based on at least one channel target echo signals, and determine the respiratory waveforms corresponding to each of the target echo signals; determine the power spectrum of each of the respiratory waveforms, and determine the target respiratory waveform according to each of the power spectra. The above technical solution can first determine the distance information of the target in the current environment, and then determine the breathing detection area according to the distance information, and then can receive the target echo signal in the breathing detection area based on at least one channel to determine the corresponding target echo signal. Respiratory waveform, and then can determine the power spectrum of each respiratory waveform, and determine the target respiratory waveform according to each power spectrum, realize the breathing detection of the target in the current environment anytime and anywhere, improve the efficiency of breathing detection and expand the application scenarios of breathing detection.

In addition, in the embodiment of the present invention, the target respiration frequency can also be determined according to the target respiration waveform, and the obtained target respiration waveform is closer to the respiration frequency obtained by the polyconductor physiological recorder, with higher accuracy and reliability.

Secondly, the breath detection method provided by the embodiment of the present invention also has the advantages of being completely non-contact, unaffected by weather and environmental changes, able to work all day and all day, and not infringing on personal privacy.

Embodiment three

FIG. 5 is a schematic structural diagram of a breathing detection device provided by Embodiment 3 of the present invention. The device can be applied to situations where breathing detection needs to be performed on a target anytime and anywhere, so as to improve the efficiency of breathing detection. The device can be implemented by software and/or hardware, and is generally integrated in a breath detection device, such as a computer.

As shown in Figure 5, the device includes:

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

A respiratory waveform determination 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 of the target echo signals;

The target respiratory waveform determination module 530 is configured to determine the power spectrum of each of the respiratory waveforms, and determine the target respiratory waveform according to each of the power spectra.

The breath detection device provided in this embodiment determines the distance information of the target according to the historical echo signals in the current environment; determines the breath detection area according to the distance information, and receives the target echo signal in the breath detection area based on at least one channel , and determine the respiratory waveform corresponding to each of the target echo signals; determine the power spectrum of each of the respiratory waveforms, and determine the target respiratory waveform according to each of the power spectra. The above technical solution can first determine the distance information of the target in the current environment, and then determine the breathing detection area according to the distance information, and then can receive the target echo signal in the breathing detection area based on at least one channel to determine the corresponding target echo signal. Respiratory waveform, and then can determine the power spectrum of each respiratory waveform, and determine the target respiratory waveform according to each power spectrum, realize the breathing detection of the target in the current environment anytime and anywhere, improve the efficiency of breathing detection and expand the application scenarios of breathing detection.

On the basis of the above-mentioned embodiments, the distance information determining module 510 is specifically used for:

determining the echo energy of each of the historical echo signals, and determining the historical echo signal corresponding to the largest echo energy as the target historical echo signal;

The distance information of the target is determined according to the historical echo signal of the target.

On the basis of the above-mentioned embodiments, the respiratory waveform determination module 520 is specifically used for:

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

The target echo signal is received in the breathing detection area based on at least one channel, and the breathing waveform corresponding to each target echo signal is determined.

On the basis of the above-mentioned embodiments, the respiratory waveform determination module 520 is specifically used for:

determining a breathing detection area according to the distance information;

receiving target echo signals within the breath detection zone based on at least one channel;

Determine the real part information and imaginary part information of the target echo signal, as well as the waveform length;

The respiratory waveform is determined according to the distance range, the real part information, the imaginary part information, the number of channels and the waveform length.

On the basis of the above-mentioned embodiments, the target respiratory waveform determination module 530 is specifically used for:

determining a sequence of autocorrelation estimates of the respiratory waveform, and determining the power spectrum based on the sequence of autocorrelation estimates;

A target respiratory waveform is determined according to each of the power spectra.

On the basis of the above-mentioned embodiments, the target respiratory waveform determination module 530 is specifically used for:

determining a power spectrum for each of said respiratory waveforms;

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

The target respiratory waveform is determined according to the respiratory waveform corresponding to the maximum signal-to-noise ratio.

On the basis of the foregoing embodiments, the device also includes:

A target respiratory rate is determined according to the target respiratory waveform.

The breath detection device provided in the embodiment of the present invention can execute the breath detection method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

Embodiment Four

Fig. 6 is a schematic structural diagram of an electronic device provided by Embodiment 4 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 limit the functions and scope of use of this embodiment of the present invention.

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

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures include, by way of example, 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.

Electronic device 7 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 7, including volatile and non-volatile media, removable and non-removable media.

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 and write to non-removable, non-volatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard drive"). Although not shown in FIG. 6, a disk drive for reading and writing to removable non-volatile disks (such as "floppy disks") may be provided, as well as for removable non-volatile optical disks (such as CD-ROM, DVD-ROM or other optical media) CD-ROM drive. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present invention.

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

The electronic device 7 can also communicate with one or more external devices 14 (such as keyboards, pointing devices, displays 24, etc.), and can also communicate with one or more devices that enable the user to interact with the electronic device 7, and/or communicate with Any device (eg network card, modem, etc.) that enables the electronic device 7 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 22 . Moreover, the electronic device 7 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN) and/or a public network such as the Internet) through the network adapter 20 . As shown in FIG. 6 , the network adapter 20 communicates with other modules of the electronic device 7 through the bus 18 . It should be appreciated 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, magnetic tape Drives and data backup storage systems, etc.

The processing unit 16 executes various functional applications and page display by running the program stored in the system memory 28, such as realizing the breathing detection method provided by the embodiment of the present invention,

Among them, the method includes:

Determine the distance information of the target according to the historical echo signals in the current environment;

Determine a respiration detection area according to the distance information, receive target echo signals in the respiration detection area based on at least one channel, and determine a respiration waveform corresponding to each of the target echo signals;

The power spectrum of each of the respiratory waveforms is determined, and the target respiratory waveform is determined according to each of the power spectra.

Of course, those skilled in the art can understand that the processor can also implement the technical solution of the breathing detection method provided by any embodiment of the present invention.

Embodiment five

Embodiment 7 of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the breathing detection method provided by the embodiment of the present invention is implemented, for example, the method includes:

Determine the distance information of the target according to the historical echo signals in the current environment;

Determine a respiration detection area according to the distance information, receive target echo signals in the respiration detection area based on at least one channel, and determine a respiration waveform corresponding to each of the target echo signals;

The power spectrum of each of the respiratory waveforms is determined, and the target respiratory waveform is determined according to each of the power spectra.

The computer storage medium in the embodiments of the present invention may use 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. A computer-readable storage medium may be, for example but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction 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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present invention may be written in one or more programming languages or combinations thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages. Programming language - such as "C" or a similar programming language. 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 cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider). connect).

Those of ordinary skill in the art should understand that each module or each step of the present invention described above can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed on a network formed by multiple computing devices. Optionally, they can be implemented with executable program codes of computer devices, so that they can be stored in storage devices and executed by computing devices, or they can be made into individual integrated circuit modules, or a plurality of modules in them Or the steps are fabricated into a single integrated circuit module to realize. As such, the present invention is not limited to any specific combination of hardware and software.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (7)

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:

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

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 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;

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:

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 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:

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

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 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;

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:

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

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;

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;

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

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;

determining distance information of target historical echo signal according to formula

：

The above-mentioned

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.

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.

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