CN115429251A

CN115429251A - Wearable device and monitoring method and monitoring device thereof

Info

Publication number: CN115429251A
Application number: CN202110619645.3A
Authority: CN
Inventors: 郭利杰; 阿尔特姆·加列夫; 杨武; 戴晓伟; 汪孔桥
Original assignee: Anhui Huami Health Technology Co Ltd
Current assignee: Anhui Huami Health Technology Co Ltd
Priority date: 2021-06-03
Filing date: 2021-06-03
Publication date: 2022-12-06

Abstract

The application discloses wearable equipment and a monitoring method and a monitoring device thereof, wherein the monitoring method comprises the following steps: acquiring an acceleration signal and a photoplethysmography (PPG) signal of wearable equipment; calculating an activity amount based on the acceleration signal; correspondingly extracting a respiration signal of an acceleration channel and a respiration signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating the respiration rate and the signal quality by combining a reference respiration rate based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel; based on the activity amount, respiration rate, and signal quality, an output respiration rate is determined in order to enable monitoring of respiration. Therefore, the method realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, so that the respiration monitoring in daily work and life is realized.

Description

Wearable device and monitoring method and monitoring device thereof

Technical Field

The application relates to the technical field of electronic equipment, in particular to wearable equipment and a monitoring method and a monitoring device thereof.

Background

Respiration is an important physiological process of a human body, and respiratory frequency is a sensitive index of acute respiratory dysfunction and is also an important index of the heart function of a person and whether gas exchange is normal or not. The measurement of the respiratory frequency has wide application in the fields of cardiopulmonary function observation, motion effect evaluation, sleep quality detection and the like.

At present, the clinical protocols for respiratory rate estimation mainly include impedance method, method of directly measuring expiratory airflow, airway pressure method, and the like. Most of clinical breath detection devices are invasive, large in size and complex in equipment operation, and are not suitable for daily work and life monitoring.

Therefore, how to monitor the breathing in daily work and life is a problem to be solved urgently.

Disclosure of Invention

The present application is directed to solving, at least to some extent, one of the technical problems in the above-described technology.

The embodiment of the application provides a monitoring method of wearable equipment, which comprises the following steps: acquiring an acceleration signal and a photoplethysmography (PPG) signal of wearable equipment; calculating an activity amount based on the acceleration signal; correspondingly extracting a respiration signal of an acceleration channel and a respiration signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating a respiration rate and signal quality by combining a reference respiration rate based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel; based on the activity amount, the respiration rate, and the signal quality, an output respiration rate is determined to enable monitoring of respiration.

According to the monitoring method of the wearable device, the acceleration signal and the photoplethysmography (PPG) signal of the wearable device are obtained, the activity is calculated based on the acceleration signal, the respiration signal of an acceleration channel and the respiration signal of a PPG channel are correspondingly extracted from the acceleration signal and the PPG signal respectively, the respiration rate and the signal quality are calculated based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel, the reference respiration rate is combined, and the output respiration rate is determined based on the activity and the signal quality so as to monitor the respiration. Therefore, the method realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, and monitoring of respiration in daily work and life is realized.

In some embodiments, said calculating an amount of activity based on said acceleration signal comprises: performing down-sampling processing on the acceleration signal to obtain an acceleration signal with a first preset frequency; establishing a buffer queue of first preset time; calculating to obtain a plurality of activity amounts of second preset time according to the acceleration signals of the first preset frequency adjacent to each other; queuing the activity amounts of the second preset times according to a time sequence and putting the activity amounts into the cache queue; and acquiring a median value of the cache queue as the activity of the first preset time.

In some embodiments, extracting the respiration signal of the acceleration channel from the acceleration signal comprises: carrying out sliding window processing on the acceleration signal with the first preset frequency in a first preset time window; and carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window to remove low-frequency component interference caused by the gravity acceleration signal, and acquiring linear acceleration to obtain a respiration signal of the acceleration channel.

In some embodiments, after acquiring the PPG signal of the wearable device, the method further includes: filtering the PPG signal; performing sliding window processing on the PPG signal after filtering processing in a second preset time window; and performing peak value extraction on the PPG signal in the sliding window, and storing the peak values according to the time sequence to obtain a peak value sequence.

In some embodiments, extracting a respiratory signal of a PPG channel from the PPG signal comprises: carrying out differential processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal; carrying out interpolation processing on the non-uniformly sampled heart rate signals to obtain beat interval IBI signals of a second preset frequency; and performing band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel.

In some embodiments, the calculating a respiration rate and a signal quality based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel in combination with a reference respiration rate comprises: respectively carrying out fast Fourier transform on the respiration signal of the acceleration channel and the respiration signal of the PPG channel to obtain a frequency spectrum sequence of the acceleration channel and a frequency spectrum sequence of the PPG channel which correspond to each other; respectively calculating the magnitude spectrum of the corresponding acceleration channel and the magnitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel; calculating a reference respiratory frequency according to the reference respiratory rate, and respectively setting a respiratory signal search interval of an acceleration channel and a respiratory signal search interval of a PPG channel according to the reference respiratory frequency; in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel, combining the amplitude spectrum of the corresponding channel to obtain corresponding frequency points with the maximum amplitude, wherein the frequency points are respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel; respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel; and calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the noise signal amplitude outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the noise signal amplitude outside the respiratory signal search interval of the PPG channel.

In some embodiments, determining an output respiration rate based on the activity amount, the respiration rate, and the signal quality comprises: when the activity amount is in a first activity amount preset range, the selected channel is the acceleration channel; or when the activity amount is in a second activity amount preset range, the selected channel is the PPG channel; wherein the first preset range of activity amount is greater than the second preset range of activity amount; and determining the output respiration rate on the selected channel according to the signal quality.

In some embodiments, said determining an output respiratory rate based on said signal quality on the selected channel comprises: determining an output respiration rate as a reference respiration rate when the signal quality is in a first signal quality range; or, when the signal quality is in a second signal quality range, determining the output respiration rate as an average value of the respiration rate calculated on the selected channel and the reference respiration rate, wherein the first signal quality range is larger than the second signal quality range.

The embodiment of the present application further provides a monitoring device for wearable equipment, including: the acquisition module is used for acquiring an acceleration signal and a photoplethysmography (PPG) signal of the wearable device; a first calculation module for calculating an activity amount based on the acceleration signal; the second calculation module is used for correspondingly extracting a respiratory signal of an acceleration channel and a respiratory signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating a respiratory rate and signal quality by combining a reference respiratory rate based on the respiratory signal of the acceleration channel and the respiratory signal of the PPG channel; a determination module to determine an output respiration rate based on the activity amount, the respiration rate, and the signal quality to enable monitoring of respiration.

According to the monitoring devices of wearable equipment of this application embodiment, acquire the acceleration signal and the photoplethysmography PPG signal of wearable equipment through acquireing the module, and calculate the activity through first calculation module based on the acceleration signal, correspond the respiratory signal of drawing the acceleration passageway and the respiratory signal of PPG passageway in acceleration signal and PPG signal respectively through the second calculation module, and based on the respiratory signal of acceleration passageway and the respiratory signal of PPG passageway, combine reference respiratory rate, calculate respiratory rate and signal quality, so that the module of confirming is based on activity, respiratory rate and signal quality, confirm the respiratory rate of output, so that realize the monitoring to breathing. Therefore, the device realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, and monitoring of respiration in daily work and life is realized.

In some embodiments, the first computing module comprises: the down-sampling processing unit is used for performing down-sampling processing on the acceleration signal to obtain an acceleration signal with a first preset frequency; the establishing unit is used for establishing a buffer queue of first preset time; the first calculation unit is used for calculating and obtaining a plurality of activity amounts of second preset time according to the acceleration signals of the first preset frequency adjacent to each other; the storage unit is used for queuing the activity amounts of the plurality of second preset times according to a time sequence and placing the activity amounts into the cache queue; and the first obtaining unit is used for obtaining a median value of the buffer queue as the activity of the first preset time.

In some embodiments, the second computing module comprises: the sliding window unit is used for performing sliding window processing on the acceleration signal with the first preset frequency in a first preset time window; and the first differential processing unit is used for carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window so as to remove low-frequency component interference caused by the gravity acceleration signal, obtain linear acceleration and obtain the respiration signal of the acceleration channel.

In some embodiments, the monitoring device of the wearable device further includes: the filtering processing module is used for carrying out filtering processing on the PPG signal; the sliding window module is used for performing sliding window processing on the PPG signal subjected to filtering processing in a second preset time window; and the storage module is used for extracting peak values of the PPG signals in the sliding window and storing the peak values according to a time sequence to obtain a peak value sequence.

In some embodiments, the second computing module comprises: the second difference processing unit is used for carrying out difference processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal; the interpolation processing unit is used for carrying out interpolation processing on the non-uniformly sampled heart rate signal to obtain a beat interval IBI signal of a second preset frequency; and the band-pass filtering processing unit is used for carrying out band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel.

In some embodiments, the second computing module comprises: the conversion unit is used for respectively carrying out fast Fourier transform on the respiration signal of the acceleration channel and the respiration signal of the PPG channel to obtain a frequency spectrum sequence of the acceleration channel and a frequency spectrum sequence of the PPG channel which correspond to each other; the second calculation unit is used for respectively calculating the amplitude spectrum of the corresponding acceleration channel and the amplitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel; the setting unit is used for calculating a reference respiratory frequency according to the reference respiratory rate and respectively setting a respiratory signal search interval of an acceleration channel and a respiratory signal search interval of a PPG channel according to the reference respiratory frequency; the second acquisition unit is used for acquiring corresponding frequency points with the maximum amplitude in combination with the amplitude spectrum of the corresponding channel in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel, and the frequency points are respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel; the conversion unit is used for respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel; and the third calculation unit is used for calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the amplitude of the noise signal outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the amplitude of the noise signal outside the respiratory signal search interval of the PPG channel.

In some embodiments, the determining module comprises: the selection unit is used for selecting the channel as the acceleration channel when the activity amount is in a first activity amount preset range; or when the activity amount is in a second activity amount preset range, the selected channel is the PPG channel; and the determining unit is used for determining the output respiration rate on the selected channel according to the signal quality.

In some embodiments, the determining unit is specifically configured to: determining an output respiration rate as a reference respiration rate when the signal quality is in a first signal quality range; or, when the signal quality is in a second signal quality range, determining the output respiration rate as an average value of the respiration rate calculated on the selected channel and the reference respiration rate, wherein the first signal quality range is larger than the second signal quality range.

The embodiment of the application further provides wearable equipment which comprises the monitoring device of the wearable equipment.

The wearable device of this application embodiment, through foretell wearable device's monitoring devices, realize jointly tracking the respiratory rate based on acceleration signal and PPG signal to the realization is breathed in daily work and life and is carried out the monitoring.

An embodiment of the present application further provides an electronic device, including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the monitoring method of the wearable device described above.

The electronic device of the embodiment of the application, by executing the monitoring method of the wearable device, realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, thereby realizing monitoring of respiration in daily work and life.

The embodiment of the present application further provides a non-transitory computer-readable storage medium, and when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the monitoring method of the wearable device.

The non-transitory computer-readable storage medium of the embodiment of the present application, by implementing the monitoring method of the wearable device, realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, thereby realizing monitoring of respiration in daily work and life.

Drawings

Fig. 1 is a flow chart of a monitoring method of a wearable device according to an embodiment of the application;

fig. 2 is a flow chart of a method of monitoring a wearable device according to one embodiment of the present application;

fig. 3 is a block schematic diagram of a monitoring device of a wearable apparatus according to an embodiment of the application;

fig. 4 is a block schematic diagram of a wearable device according to an embodiment of the application;

fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.

The following describes a monitoring method of a wearable device, a monitoring apparatus of a wearable device, an electronic device, and a non-transitory computer-readable storage medium according to embodiments of the present application, with reference to the drawings.

Fig. 1 is a flowchart of a monitoring method of a wearable device according to an embodiment of the present application.

In an embodiment of the application, the wearable device may be a smart watch or a smart bracelet, or the like.

As shown in fig. 1, the monitoring method for a wearable device in the embodiment of the present application includes the following steps:

s101, acquiring an acceleration signal and a photoplethysmography (PPG) signal of the wearable device.

For example, an acceleration signal of the wearable device may be acquired by an acceleration sensor; acquiring a photoplethysmography (PPG) signal through a photoelectric sensor. The acceleration signal and the PPG signal need to keep time synchronization error not larger than 1s, the sampling rate of the acceleration sensor is not lower than 25Hz, and the sampling rate of the photoelectric sensor is not lower than 50Hz.

The acceleration sensor can capture the slight change of the body acceleration caused by the respiration of the human body, the base line of the pulse wave and the pulse wave fluctuate along with the ventilation change of the respiration of the human body, and the power spectrum of the pulse wave signal contains the peak value related to the respiration frequency, so the respiration rate can be monitored through the pulse wave.

S102, calculating the activity amount based on the acceleration signal.

In one embodiment of the present application, calculating the activity amount based on the acceleration signal includes: down-sampling the acceleration signal to obtain an acceleration signal with a first preset frequency; establishing a buffer queue of first preset time; calculating to obtain the activity of every second preset time according to the adjacent regularized triaxial acceleration amplitude; queuing the activity amount of each second preset time according to the time sequence and putting the activity amount into a cache queue; and acquiring a median value of the buffer queue as the activity of the first preset time. The first preset frequency, the first preset time and the second preset time may be set according to actual conditions, for example, the first preset frequency may be 1Hz, the first preset time may be 1 minute, and the second preset time may be 1 second.

Specifically, after the wearable device acquires the acceleration signal, the acceleration signal is subjected to down-sampling processing to obtain a 1Hz acceleration signal, and the xyz triaxial acceleration amplitude of the 1Hz acceleration signal is subjected to regularization processing. As an implementation manner of optional regularization processing, a specific regularization processing procedure is as follows: since the acceleration sensor can be configured with different range parameters, the threshold value internally set by the algorithm can be set according to the configuration of 1g =4096, and then under other parameter configurations, the amplitude of the acceleration signal only needs to be converted into 1g =4096 in an equal proportion, and the internal threshold value does not need to be adjusted. Wherein, assuming that the range sensitivity of the acceleration sensor is gDevice, and the xyz triaxial acceleration amplitude of the acceleration signal is amplitude, the xyz triaxial acceleration amplitude of the acceleration signal after the regularization processing is: amplitude/gDevice 4096.

In this embodiment, the activity amount is calculated with a frequency of 1Hz, i.e. one activity amount value per second. Calculation of specific ActivityThe current triaxial acceleration amplitude (acc _ x) is needed _cur ，acc_y _cur ，acc_z _cur ) And the triaxial acceleration amplitude (acc _ x) of the last second _pre ，acc_y _pre ，acc_z _pre ) The calculation formula (1) is as follows:

establishing a buffer queue movements of 1 minute, calculating a plurality of second-level activity quantities according to acceleration signals of two adjacent first preset frequencies, queuing the plurality of second-level activity quantities obtained by calculation according to a time sequence and placing the plurality of second-level activity quantities into a minute-level activity quantity queue (movements), and taking a median value in the queue movements each time as a current activity quantity movements _cur ＝meadian(movements)。

It should be noted that the purpose of obtaining the median value in the queues movements is to eliminate isolated noise.

And S103, correspondingly extracting the respiration signal of the acceleration channel and the respiration signal of the PPG channel from the acceleration signal and the PPG signal respectively, and calculating the respiration rate and the signal quality by combining a reference respiration rate based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel.

In one embodiment of the present application, extracting a respiration signal of an acceleration channel from an acceleration signal includes: carrying out sliding window processing on the acceleration signal with the first preset frequency in a first preset time window; and carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window to remove low-frequency component interference caused by the gravity acceleration signal, and acquiring linear acceleration to obtain a respiration signal of the acceleration channel. The first preset time window may be set according to actual conditions, for example, the window length of the first preset time window may be 64 seconds, and the first preset time window slides every 10 seconds.

Specifically, the acceleration signal is subjected to down-sampling processing and mean filtering to remove high-frequency components to obtain a 1Hz acceleration signal, and then the xyz triaxial acceleration amplitude of the 1Hz acceleration signal is subjected to regularization processing, that is, the sensitivity of the measurement range is uniformly adjusted to 1g =4096. And then, performing sliding window processing on the regulated 1Hz acceleration signal. The normalized 1Hz acceleration signal is a matrix with N rows and 3 columns, and the N value is the duration (unit is second) of the acceleration signal. And finally, carrying out differential processing on the acceleration signal in the processing window, removing the influence of gravity acceleration, and acquiring linear acceleration so as to acquire the respiration signal of the acceleration channel.

It should be noted that, if the acceleration signal is offline data, the section of the acceleration signal is cut, and each 64 columns is a processing window: the data of the first processing window is the data of the 1 st line to the 64 th line; the data of the second processing window is the data of 11 th line to 74 th line; … …. If the acceleration signal is real-time data, the data is buffered, processing is started after 64 lines are met, and the first ten buffer queues are dequeued after processing is completed.

In one embodiment of the present application, after acquiring the PPG signal of the wearable device, the method includes: filtering the PPG signal; performing sliding window processing on the PPG signal after filtering processing in a second preset time window; and performing peak value extraction on the PPG signal in the sliding window, and storing the peak values according to the time sequence to obtain a peak value sequence.

In one embodiment of the present application, extracting a respiration signal of a PPG channel from a PPG signal comprises: carrying out differential processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal; carrying out interpolation processing on the non-uniformly sampled heart rate signals to obtain beat interval IBI signals of a second preset frequency; and performing band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel. The second preset frequency and the second preset time window may be set according to actual needs, for example, the second preset frequency may be 20Hz, and the window length of the second preset time window is 32 seconds, and the second preset time window slides every 5 seconds.

Specifically, wearable equipment filters through band pass filter after obtaining the PPG signal, filters the frequency component in the non-heart rate scope to carry out the sliding window processing with second preset time window to the PPG signal after filtering, carries out peak value extraction to the PPG signal in the sliding window, and deposits the peak value according to time sequence, in order to obtain the peak value sequence. Then, the peak value sequence is subjected to differential processing and converted into bpm (Beat Per Minute), a non-uniformly sampled heart rate signal is obtained, interpolation processing is carried out on the non-uniformly sampled heart rate signal, and an IBI (Inter Beat Interval) signal of 20Hz is obtained. And finally, performing band-pass filtering processing on the IBI signal to acquire a respiratory signal of the PPG channel. In order to reduce subsequent operation amount and obtain calculation speed and accuracy, after the 20Hz IBI signal is acquired, down-sampling the 20Hz IBI signal, for example, down-sampling the 20Hz IBI signal to a 5Hz IBI signal, and then performing band-pass filtering according to the 5Hz IBI signal to acquire a respiratory signal of the PPG channel.

It should be noted that Inter Beat Interval is a scientific term, and refers to the time Interval between beats in the mammalian heart. The beat interval is abbreviated "IBI," and is sometimes referred to as a "beat-to-beat" interval. IBI is typically measured in milliseconds. In normal cardiac function, each IBI value varies with the heart beat, a natural variation known as heart rate variability.

In one embodiment of the present application, calculating a respiration rate and a signal quality based on a respiration signal of an acceleration channel and a respiration signal of a PPG channel, in combination with a reference respiration rate, comprises: respectively carrying out fast Fourier transform on the respiratory signal of the acceleration channel and the respiratory signal of the PPG channel to obtain a frequency spectrum sequence of the corresponding acceleration channel and a frequency spectrum sequence of the PPG channel; respectively calculating the amplitude spectrum of the corresponding acceleration channel and the amplitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel; calculating a reference respiratory frequency according to the reference respiratory rate, and respectively setting a respiratory signal search interval of an acceleration channel and a respiratory signal search interval of a PPG channel according to the reference respiratory frequency; in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel, combining the amplitude spectrum of the corresponding channel to obtain a frequency point with the maximum corresponding amplitude, wherein the frequency point is respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel; respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel; and calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the amplitude of the noise signal outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the amplitude of the noise signal outside the respiratory signal search interval of the PPG channel.

Specifically, after obtaining respiratory signals of an acceleration xyz three-channel and a PPG single channel, the wearable device performs fast fourier transform on the respiratory signals of the acceleration xyz three-channel and the PPG single channel, respectively, to obtain respective frequency spectrum sequences. And respectively calculating the magnitude spectrums of the acceleration xyz three-channel and PPG single-channel frequency domain signals, carrying out normalization processing, and summing the acceleration xyz three-channel magnitude spectrums to obtain a single-channel magnitude spectrum. Calculating a reference respiratory rate according to a reference respiratory rate (such as a historical respiratory rate), and setting a smaller neighborhood (about 1-2 Hz) around the reference respiratory rate as a respiratory signal search interval, wherein the respiratory rate is in the unit of bmp, the respiratory rate is in the unit of Hz, and the respiratory rate respiratory _ Hz = respiratory rate _ rate/60. Then, in the respiratory signal search interval, the frequency point with the maximum amplitude is obtained as the respiratory frequency and converted into the respiratory rate. And finally, dividing the amplitude of the respiratory frequency by the sum of the amplitudes of the noise signals outside the respiratory signal search interval to obtain the signal-to-noise ratio of the respiratory frequency, and taking the signal-to-noise ratio as the signal quality.

And S104, determining the output respiration rate based on the activity amount, the respiration rate and the signal quality so as to realize the monitoring of the respiration.

In one embodiment of the present application, determining the output respiration rate based on the activity amount, the respiration rate, and the signal quality comprises: when the activity is in a first activity preset range, the selected channel is an acceleration channel; or when the activity amount is in a second activity amount preset range, the selected channel is a PPG channel; on the selected channel, the output respiration rate is determined based on the signal quality.

Further, determining an output respiration rate based on the signal quality on the selected channel, comprising: when the signal quality is in a first signal quality range, determining the output respiration rate as a reference respiration rate; or when the signal quality is in the second signal quality range, determining the output respiration rate as the average value of the respiration rate obtained by calculation on the selected channel and the reference respiration rate.

Specifically, the wearable device first performs channel selection using the processed activity amount: when the activity is below a low activity threshold (a first activity preset range), selecting a respiration rate and signal quality calculated by an acceleration channel; and when the activity is higher than the low activity threshold and lower than the high activity threshold (a second activity preset range), selecting the respiration rate and the signal quality calculated by the PPG channel.

On the selected channel, a determination is made using signal quality: using the reference breathing rate as an output when the signal quality is below an effective signal-to-noise ratio threshold (first signal quality range); when the signal quality is higher than the effective signal-to-noise ratio threshold (second signal quality range), outputting the weighted average of the current respiration rate and the reference respiration rate as the fused respiration rate output.

Therefore, the monitoring method of the wearable device can be widely applied to intelligent watches and intelligent hand rings, the wrist acceleration sensor and the photoelectric sensor are basic sensors of wrist equipment, the method utilizes the existing condition, the equipment which is convenient to operate and low in cost is used for tracking the respiration signal, the respiration rate is calculated, and the respiration monitoring in daily work and life is realized.

To make the present application more clear to those skilled in the art, fig. 2 is a flowchart of a monitoring method of a wearable device according to an embodiment of the present application, and as shown in fig. 2, the monitoring method of the wearable device includes:

and S201, acquiring an acceleration signal and a PPG signal. For example, the sampling rate of the acceleration sensor for acquiring the acceleration signal is set to be not lower than 25Hz, and the sampling rate of the photoelectric sensor for acquiring the PPG signal is set to be not lower than 50Hz.

S202, carrying out mean value filtering on the acceleration signal, and carrying out down-sampling to 1Hz.

S203, the activity amount is calculated.

And S204, updating the activity amount.

And S205, extracting the respiration signal of the acceleration channel.

S206, searching a peak value.

And S207, extracting a respiration signal of the PPG channel.

And S208, analyzing a frequency domain. For example, the respiration signal of the acceleration channel and the respiration signal of the PPG channel are fourier transformed separately.

And S209, calculating the respiration rate and the signal-to-noise ratio.

And S210, obtaining the breathing rate through fusion processing.

And S211, updating the respiration rate.

Therefore, the monitoring method of the wearable device is based on the acceleration sensor and the photoelectric sensor of the wearable device, the three-axis acceleration signal and the PPG signal are tracked jointly, the respiration rate and the signal-to-noise ratio are calculated from the respiration signal through a frequency domain analysis method, the respiration rate is calculated by combining the activity calculated based on the acceleration signal, the respiration rate calculated at present is combined with the respiration rate calculated in history, the respiration rate is calculated in a fusion mode and serves as the final output respiration rate, and the result can be transmitted to other units for further monitoring or displaying to achieve monitoring of respiration.

In summary, according to the monitoring method of the wearable device in the embodiment of the present application, the acceleration signal and the photoplethysmography PPG signal of the wearable device are obtained, the activity is calculated based on the acceleration signal, the respiration signal of the acceleration channel and the respiration signal of the PPG channel are correspondingly extracted from the acceleration signal and the PPG signal, respectively, the respiration rate and the signal quality are calculated based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel, in combination with the reference respiration rate, and the output respiration rate is determined based on the activity and the signal quality, so as to realize monitoring of respiration. Therefore, the method realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, so that the respiration monitoring in daily work and life is realized.

Fig. 3 is a block schematic diagram of a monitoring device of a wearable apparatus according to an embodiment of the application.

As shown in fig. 3, a monitoring apparatus 300 of a wearable device according to an embodiment of the present application includes: an obtaining module 310, a first calculating module 320, a second calculating module 330, and a determining module 340.

Wherein, the obtaining module 310 is configured to obtain an acceleration signal and a photoplethysmography PPG signal of the wearable device. The first calculation module 320 is used for calculating the activity amount based on the acceleration signal. The second calculating module 330 is configured to correspondingly extract a respiration signal of the acceleration channel and a respiration signal of the PPG channel from the acceleration signal and the PPG signal, respectively, and calculate a respiration rate and a signal quality based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel in combination with a reference respiration rate. The determination module 340 is configured to determine an output respiration rate based on the activity amount, the respiration rate, and the signal quality to enable monitoring of respiration.

In some embodiments, the first calculation module 320 includes: the down-sampling processing unit is used for performing down-sampling processing on the acceleration signal to obtain an acceleration signal with a first preset frequency; the establishing unit is used for establishing a buffer queue of first preset time; the first calculation unit is used for calculating and obtaining a plurality of activity amounts of second preset time according to the acceleration signals of the first preset frequency adjacent to each other; the storage unit is used for queuing the activity amounts of a plurality of second preset times according to the time sequence and placing the activity amounts into a cache queue; and the first acquisition unit is used for acquiring a median value of the buffer queue as the activity of the first preset time.

In some embodiments, the second calculation module 330 includes: the sliding window unit is used for performing sliding window processing on the acceleration signal with the first preset frequency after the regularization processing in a first preset time window; and the first differential processing unit is used for carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window so as to remove low-frequency component interference caused by the gravity acceleration signal, obtain linear acceleration and obtain a respiration signal of the acceleration channel.

In some embodiments, the monitoring apparatus 300 of the wearable device further includes: the filter processing module is used for carrying out filter processing on the PPG signal; the sliding window module is used for performing sliding window processing on the PPG signal after filtering processing in a second preset time window; and the storage module is used for extracting peak values of the PPG signals in the sliding window and storing the peak values according to a time sequence to obtain a peak value sequence.

In some embodiments, the second calculation module 330 includes: the second differential processing unit is used for carrying out differential processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal; the interpolation processing unit is used for carrying out interpolation processing on the non-uniformly sampled heart rate signals to obtain beat interval IBI signals of a second preset frequency; and the band-pass filtering processing unit is used for carrying out band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel.

In some embodiments, the second calculation module 330 includes: the conversion unit is used for respectively carrying out fast Fourier transform on the respiratory signal of the acceleration channel and the respiratory signal of the PPG channel to obtain a frequency spectrum sequence of the corresponding acceleration channel and a frequency spectrum sequence of the PPG channel; the second calculation unit is used for respectively calculating the magnitude spectrum of the corresponding acceleration channel and the magnitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel; the setting unit is used for calculating a reference respiratory frequency according to the reference respiratory rate and respectively setting a respiratory signal search interval of the acceleration channel and a respiratory signal search interval of the PPG channel according to the reference respiratory frequency; the second acquisition unit is used for acquiring corresponding frequency points with the maximum amplitude in combination with the amplitude spectrum of the corresponding channel in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel, and the frequency points are respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel; the conversion unit is used for respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel; and the third calculation unit is used for calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the noise signal amplitude outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the noise signal amplitude outside the respiratory signal search interval of the PPG channel.

In some embodiments, the determining module 340 includes: the selection unit is used for selecting the channel as an acceleration channel when the activity amount is in a first activity amount preset range; or when the activity amount is in the second activity amount preset range, the selected channel is a PPG channel; and the determining unit is used for determining the output respiration rate on the selected channel according to the signal quality.

In some embodiments, the determining unit is specifically configured to: when the signal quality is in a first signal quality range, determining the output respiration rate as a reference respiration rate; or when the signal quality is in the second signal quality range, determining the output respiration rate as the average value of the respiration rate obtained by calculation on the selected channel and the reference respiration rate.

It should be noted that, please refer to the details disclosed in the monitoring method of the wearable device in the embodiment of the present application for details not disclosed in the monitoring apparatus of the wearable device in the embodiment of the present application, and details are not described here again.

According to the monitoring device of the wearable equipment, the acceleration signal and the photoplethysmography (PPG) signal of the wearable equipment are acquired through the acquisition module, the activity is calculated through the first calculation module based on the acceleration signal, the respiration signal of the acceleration channel and the respiration signal of the PPG channel are correspondingly extracted from the acceleration signal and the PPG signal through the second calculation module respectively, and the respiration rate and the signal quality are calculated based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel in combination with the reference respiration rate, so that the determination module determines the output respiration rate based on the activity, the respiration rate and the signal quality, and monitoring on respiration is achieved. Therefore, the device realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, and monitoring of respiration in daily work and life is realized.

Fig. 4 is a block schematic diagram of a wearable device according to an embodiment of the application. As shown in fig. 4, a wearable device 400 according to an embodiment of the present application includes the monitoring apparatus 300 of the wearable device described above.

Based on the above embodiment, the present application further provides an electronic device, including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the monitoring method of the wearable device described above.

Fig. 5 is a block diagram of an electronic device according to an embodiment of the present disclosure.

As shown in fig. 5, the electronic device 500 includes: a memory 510 and a processor 520, and a bus 530 that couples the various components, including the memory 510 and the processor 520.

Wherein, the memory 510 is used for storing the executable instructions of the processor 520; the processor 501 is configured to call and execute the executable instructions stored in the memory 502 to implement the monitoring method of the wearable device proposed by the above-mentioned embodiment of the present disclosure.

Bus 530 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 500 typically includes a variety of electronic device readable media. Such media may be any available media that is accessible by electronic device 500 and includes both volatile and nonvolatile media, removable and non-removable media.

Memory 510 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 540 and/or cache memory 550. The electronic device 500 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 560 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, 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 530 by one or more data media interfaces. Memory 510 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 disclosure.

A program/utility 580 having a set (at least one) of program modules 570 may be stored, for instance, in memory 510, such program modules 570 including, but not limited to, an operating system, one or more functions, other program modules, and program data, each of which examples or some combination thereof may include an implementation of a network environment. Program modules 870 generally perform the functions and/or methodologies of embodiments described in this disclosure.

The electronic device 500 may also communicate with one or more external devices 590 (e.g., keyboard, pointing device, display 591, etc.), one or more devices that enable a user to interact with the electronic device 500, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur over input/output (I/O) interfaces 592. Also, the electronic device 500 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 593. As shown, the network adapter 593 communicates with the other modules of the electronic device 500 over the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, to name a few.

The processor 520 executes various functional applications and data processing by executing programs stored in the memory 510.

It should be noted that, for the implementation process of the electronic device according to the embodiment of the present disclosure, reference is made to the foregoing explanation of the method according to the embodiment of the present disclosure, and details are not described here again.

The electronic equipment provided by the embodiment of the application realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal by executing the monitoring method of the wearable equipment, so that the respiration monitoring in daily work and life is realized.

Based on the foregoing embodiments, the present application also provides a non-transitory computer-readable storage medium, where instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the foregoing monitoring method for a wearable device.

Based on the above embodiments, the present application also proposes a computer program product, which, when executed by a processor of an electronic device, enables the electronic device to perform the monitoring method of a wearable device as described above.

The computer program product of the embodiment of the application, by executing the detection method of the wearable device, realizes the joint tracking of the respiration rate based on the acceleration signal and the PPG signal, thereby realizing the monitoring of respiration in daily work and life.

In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the present application.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.

In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.

In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims

1. A method for monitoring a wearable device, comprising:

acquiring an acceleration signal and a photoplethysmography (PPG) signal of wearable equipment;

calculating an activity amount based on the acceleration signal;

correspondingly extracting a respiration signal of an acceleration channel and a respiration signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating a respiration rate and signal quality by combining a reference respiration rate based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel;

determining an output respiration rate based on the activity amount, the respiration rate, and the signal quality to enable monitoring of respiration.

2. The monitoring method of the wearable device of claim 1, wherein the calculating the activity amount based on the acceleration signal comprises:

performing down-sampling processing on the acceleration signal to obtain an acceleration signal with a first preset frequency;

establishing a buffer queue of first preset time;

calculating to obtain a plurality of activity amounts of second preset time according to the acceleration signals of the first preset frequency adjacent to each other;

queuing the activity amounts of the plurality of second preset times according to a time sequence and putting the activity amounts into the cache queue;

and acquiring a median value of the cache queue as the activity of the first preset time.

3. The method for monitoring a wearable device of claim 1, wherein extracting a respiration signal of an acceleration channel from the acceleration signal comprises:

carrying out sliding window processing on the acceleration signal with the first preset frequency in a first preset time window;

and carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window to remove low-frequency component interference caused by the gravity acceleration signal, and acquiring linear acceleration to obtain a respiration signal of the acceleration channel.

4. The method for monitoring a wearable device of claim 1, wherein after acquiring the PPG signal of the wearable device, further comprising:

filtering the PPG signal;

performing sliding window processing on the PPG signal after filtering processing in a second preset time window;

and extracting peak values of the PPG signal in the sliding window, and storing the peak values according to a time sequence to obtain a peak value sequence.

5. The method of monitoring a wearable device of claim 4, wherein extracting a respiration signal of a PPG channel from the PPG signal comprises:

carrying out differential processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal;

carrying out interpolation processing on the non-uniformly sampled heart rate signals to obtain beat interval IBI signals of a second preset frequency;

and performing band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel.

6. The monitoring method of the wearable device of claim 1, wherein the calculating a respiration rate and a signal quality based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel in combination with a reference respiration rate comprises:

respectively carrying out fast Fourier transform on the respiration signal of the acceleration channel and the respiration signal of the PPG channel to obtain a frequency spectrum sequence of the acceleration channel and a frequency spectrum sequence of the PPG channel which correspond to each other;

respectively calculating the magnitude spectrum of the corresponding acceleration channel and the magnitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel;

calculating a reference respiratory frequency according to the reference respiratory rate, and respectively setting a respiratory signal search interval of an acceleration channel and a respiratory signal search interval of a PPG channel according to the reference respiratory frequency;

in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel, combining the amplitude spectrum of the corresponding channel to obtain corresponding frequency points with the maximum amplitude, wherein the frequency points are respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel;

respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel;

and calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the amplitude of the noise signal outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the amplitude of the noise signal outside the respiratory signal search interval of the PPG channel.

7. The monitoring method of the wearable device of claim 1, wherein determining the output respiration rate based on the activity amount, the respiration rate, and the signal quality comprises:

when the activity amount is in a first activity amount preset range, the selected channel is the acceleration channel; or the like, or, alternatively,

when the activity amount is within a second activity amount preset range, the selected channel is the PPG channel; wherein the first preset range of activity amount is greater than the second preset range of activity amount;

and determining the output respiration rate on the selected channel according to the signal quality.

8. The method for monitoring a wearable device of claim 7, wherein determining the output respiration rate based on the signal quality on the selected channel comprises:

determining an output respiration rate as a reference respiration rate when the signal quality is in a first signal quality range; or the like, or, alternatively,

and when the signal quality is in a second signal quality range, determining the output respiration rate as the average value of the respiration rate obtained by calculation on the selected channel and the reference respiration rate, wherein the first signal quality range is larger than the second signal quality range.

9. A monitoring device of a wearable device, comprising:

the acquisition module is used for acquiring an acceleration signal and a photoplethysmography (PPG) signal of the wearable device;

a first calculation module for calculating an activity amount based on the acceleration signal;

the second calculation module is used for correspondingly extracting a respiratory signal of an acceleration channel and a respiratory signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating a respiratory rate and signal quality by combining a reference respiratory rate based on the respiratory signal of the acceleration channel and the respiratory signal of the PPG channel;

a determination module to determine an output respiration rate based on the activity amount, the respiration rate, and the signal quality to enable monitoring of respiration.

10. The monitoring apparatus of the wearable device of claim 9, wherein the first computing module comprises:

the down-sampling processing unit is used for performing down-sampling processing on the acceleration signal to obtain an acceleration signal with a first preset frequency;

the establishing unit is used for establishing a buffer queue of first preset time;

the first calculation unit is used for calculating and obtaining a plurality of activity amounts of second preset time according to the acceleration signals of the first preset frequency adjacent to each other;

the storage unit is used for queuing the activity amounts of the plurality of second preset times according to a time sequence and placing the activity amounts into the cache queue;

and the first obtaining unit is used for obtaining a median value of the buffer queue as the activity of the first preset time.

11. The monitoring device of the wearable apparatus of claim 9, wherein the second computing module comprises:

the sliding window unit is used for performing sliding window processing on the acceleration signal with the first preset frequency in a first preset time window;

and the first differential processing unit is used for carrying out differential processing on the acceleration signal with the first preset frequency in the sliding window so as to remove low-frequency component interference caused by the gravity acceleration signal, obtain linear acceleration and obtain the respiration signal of the acceleration channel.

12. The monitoring apparatus of a wearable device of claim 9, further comprising:

the filtering processing module is used for carrying out filtering processing on the PPG signal;

the sliding window module is used for performing sliding window processing on the PPG signal after filtering processing in a second preset time window;

and the storage module is used for extracting peak values of the PPG signals in the sliding window and storing the peak values according to a time sequence to obtain a peak value sequence.

13. The monitoring device of the wearable apparatus of claim 12, wherein the second computing module comprises:

the second difference processing unit is used for carrying out difference processing on the peak value sequence to obtain a non-uniformly sampled heart rate signal;

the interpolation processing unit is used for carrying out interpolation processing on the non-uniformly sampled heart rate signal to obtain a beat interval IBI signal of a second preset frequency;

and the band-pass filtering processing unit is used for carrying out band-pass filtering processing on the IBI signal with the second preset frequency to obtain a respiratory signal of the PPG channel.

14. The monitoring device of the wearable apparatus of claim 9, wherein the second computing module comprises:

the conversion unit is used for respectively carrying out fast Fourier transform on the respiratory signal of the acceleration channel and the respiratory signal of the PPG channel to obtain a frequency spectrum sequence of the acceleration channel and a frequency spectrum sequence of the PPG channel which correspond to each other;

the second calculation unit is used for respectively calculating the amplitude spectrum of the corresponding acceleration channel and the amplitude spectrum of the PPG channel according to the frequency spectrum sequence of the acceleration channel and the frequency spectrum sequence of the PPG channel;

the setting unit is used for calculating a reference respiratory frequency according to the reference respiratory rate and respectively setting a respiratory signal search interval of an acceleration channel and a respiratory signal search interval of a PPG channel according to the reference respiratory frequency;

the second acquisition unit is used for acquiring corresponding frequency points with the maximum amplitude in the respiratory signal search interval of the acceleration channel and the respiratory signal search interval of the PPG channel by combining the amplitude spectrum of the corresponding channel, and the frequency points are respectively used as the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel;

the conversion unit is used for respectively converting the respiratory frequency of the acceleration channel and the respiratory frequency of the PPG channel to correspondingly obtain the respiratory rate of the acceleration channel and the respiratory rate of the PPG channel;

and the third calculation unit is used for calculating the signal quality of the acceleration channel according to the amplitude of the acceleration channel and the amplitude of the noise signal outside the respiratory signal search interval of the acceleration channel, and calculating the signal quality of the PPG channel according to the amplitude of the PPG channel and the amplitude of the noise signal outside the respiratory signal search interval of the PPG channel.

15. The monitoring device of the wearable apparatus of claim 9, wherein the determining module comprises:

the selection unit is used for selecting the channel as the acceleration channel when the activity amount is in a first activity amount preset range; or when the activity amount is in a second activity amount preset range, the selected channel is the PPG channel;

and the determining unit is used for determining the output respiration rate on the selected channel according to the signal quality.

16. The wearable device monitoring apparatus of claim 9, wherein the determining unit is specifically configured to: determining an output respiration rate as a reference respiration rate when the signal quality is in a first signal quality range; or, when the signal quality is in a second signal quality range, determining the output respiration rate as an average value of the respiration rate calculated on the selected channel and the reference respiration rate, wherein the first signal quality range is larger than the second signal quality range.

17. A wearable device, characterized by comprising a monitoring apparatus of the wearable device of any of claims 9-16.

18. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of monitoring a wearable device of any of claims 1-8.

19. A non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of monitoring a wearable device of any of claims 1-8.