Monitor and irregular pulse rate recognition method thereof

Abstract

The present application provides an irregular pulse rate identification method, comprising the steps of: collecting a first physiological signal of a subject, the first physiological signal at least containing pulse information; collecting a second physiological signal of the same subject, the second physiological signal at least containing respiration information; obtaining pulse characteristic information according to the first physiological signal; obtaining respiration characteristic information according to the second physiological signal; filtering the first physiological signal according to the relationship between the respiration characteristic information and the pulse characteristic information, filtering out the interference caused by respiration in the first physiological signal, and obtaining a filtered pulse wave signal; identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal. The present application also discloses a monitor. The present application can filter out the influence of respiration on the pulse through adaptive filtering, and has a high accuracy rate in identifying irregular pulse rates.

Description

Technical Field

[0001] The present application relates to the field of medical monitoring, and in particular to a monitor and an irregular pulse rate recognition method thereof. Background Art

[0002] The pulse is the pulsation of the artery that can be felt on the human body. The human circulatory system consists of the heart, blood vessels, and blood, and is responsible for the transportation of oxygen, carbon dioxide, nutrients, and waste products. The blood is squeezed into the aorta by the contraction of the left ventricle of the heart, and then transmitted to the arteries throughout the body. The artery is a pipeline formed by elastic connective tissue and muscle. When a large amount of blood enters the artery, the arterial pressure increases and the diameter of the tube expands. The expansion can be felt in the artery at a shallower part of the body surface, which is the so-called pulse. The pulse frequency is the pulse rate. The pulse rate of a normal person is regular, and there will be no phenomenon of different pulse intervals. The pulse strength of a normal person is equal, and there will be no alternation between strong and weak. In clinical practice, many diseases, especially heart disease, can cause changes in the pulse. Therefore, measuring the pulse is an indispensable examination item for patients, and Chinese medicine uses pulse diagnosis as the main method of diagnosing and treating diseases. Especially when the condition is critical, the number of pulses and the pulse rate will change significantly. Therefore, changes in the pulse are one of the bases for doctors to diagnose patients.

[0003] ECG technology can be used clinically to identify irregular rhythms, but due to the needs of actual clinical applications, the monitoring equipment in departments and offices is not equipped with ECG technology. Therefore, medical staff still rely on the traditional pulse-taking method to determine whether the patient's rhythm is regular. This process depends entirely on personal technical ability to control the pulse-taking position, pulse-taking time and screening results. In the clinical implementation process, due to the influence of human uncertainty factors, defects will be introduced in the implementation process and screening conclusions of the screening. The pulse is caused by the beating of the heart and indirectly reflects the rhythm characteristics of the heart beating. Therefore, irregular pulses can be identified based on the characteristic information of the pulse signal. However, breathing will cause changes in intrathoracic pressure when venous blood returns to the heart. The stretch receptors in the lungs feel the changes in pressure, and the neural activity will regulate the vascular motor center of the brain, control the sympathetic nerves to act on the blood vessels, cause blood vessel changes, and then cause changes in the detected pulse wave. Therefore, due to the action of the vagus nerve during breathing, the pulse wave will change. When inhaling, the vagus nerve is inhibited, and the pulse wave interval becomes smaller. When exhaling, the vagus nerve inhibition is cancelled, and the pulse wave interval becomes larger. Therefore, breathing has a greater impact on the pulse signal, reducing the accuracy of identifying irregular pulses based on the characteristic information of the pulse signal. Summary of the invention

[0004] The monitor and irregular pulse rate recognition method disclosed in the embodiments of the present application can identify the fluctuation rhythm information of the pulse wave based on non-electrocardiophysiological signals to solve the above-mentioned problems.

[0005] The irregular pulse rate identification method disclosed in the embodiment of the present application includes the following steps: collecting a first physiological signal of a subject, wherein the first physiological signal contains at least pulse information; collecting a second physiological signal of the same subject, wherein the second physiological signal contains at least respiration information; obtaining pulse characteristic information based on the first physiological signal; obtaining respiration characteristic information based on the second physiological signal; filtering the first physiological signal based on the relationship between the respiration characteristic information and the pulse characteristic information, filtering out interference caused by respiration in the first physiological signal, and obtaining a filtered pulse wave signal; and identifying the fluctuation rhythm information of the pulse wave based on the filtered pulse wave signal.

[0006] The irregular pulse rate identification method disclosed in the embodiment of the present application comprises the following steps: collecting a physiological signal of the subject to obtain a pulse wave signal; obtaining pulse characteristic information according to the pulse wave signal;

[0007] According to the pulse wave signal, respiratory characteristic information is obtained; according to the relationship between the respiratory characteristic information and the pulse characteristic information, the pulse wave signal is filtered to filter out the interference caused by breathing in the physiological signal to obtain a filtered pulse wave signal; according to the filtered pulse wave signal, the fluctuation rhythm information of the pulse wave is identified.

[0008] The irregular pulse rate identification method disclosed in the embodiment of the present application includes the following steps: collecting a physiological signal of a subject, wherein the physiological signal contains at least pulse information and respiration information; obtaining pulse characteristic information according to the physiological signal; obtaining respiration characteristic information according to the physiological signal; outputting and displaying the pulse characteristic information and respiration characteristic information; determining a filter pre-set by a user, filtering the physiological signal with the filter, filtering out interference caused by respiration in the physiological signal, and obtaining a filtered pulse wave signal; and identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal.

[0009] A monitor disclosed in an embodiment of the present application includes: at least one parameter measurement circuit, which is connected to an externally inserted sensor accessory through a corresponding sensor interface to collect physiological signals of a subject, wherein the physiological signals include at least a pulse wave signal and a respiratory signal; a display screen for displaying relevant information of the physiological signals, a memory for storing data and a computer program, and a processor, which implements the following processes when executing the computer program: obtaining pulse characteristic information and respiratory characteristic information according to the physiological signals, outputting the pulse characteristic information and respiratory characteristic information to the display screen for display, filtering the physiological signals according to the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out interference caused by respiration in the physiological signals, obtaining a filtered pulse wave signal, and identifying fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal; and outputting the fluctuation rhythm information.

[0010] The monitor and irregular pulse rate identification method of the present application can obtain pulse characteristic information and respiratory characteristic information according to at least one physiological signal, and adaptively filter the pulse wave signal according to the respiratory characteristic information and the pulse characteristic information to obtain a filtered pulse wave signal; and according to the relationship, filter the first physiological signal to filter out the interference caused by respiration in the first physiological signal to obtain a filtered pulse wave signal, and identify the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal, so as to filter out the influence of respiration on the pulse wave and obtain more real pulse characteristic information, thereby improving the accuracy of irregular pulse rate identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 Schematic diagram of the flow of an irregular pulse rate identification method in one embodiment of the present application.

[0013] Figure 2 Schematic diagram of the process of adaptively filtering the pulse wave in one embodiment of the present application.

[0014] Figure 3 Schematic diagram of a pulse wave display interface in an embodiment of the present application.

[0015] Figure 4 It is a schematic diagram of a pulse wave display interface in another embodiment of the present application.

[0016] Figure 5 This is a schematic diagram of a pulse wave display interface in yet another embodiment of the present application.

[0017] Figure 6 This is a schematic diagram of a display interface for the next working process of a pulse wave in yet another embodiment of the present application.

[0018] Figure 7 This is a schematic diagram of a pulse wave display interface in yet another embodiment of the present application.

[0019] Figure 8 FIG. 4 is a flow chart of an irregular pulse rate identification method in another embodiment of the present application.

[0020] Fig. 9 FIG. 4 is a flow chart of an irregular pulse rate identification method in another embodiment of the present application.

[0021] Fig.10 Schematic diagram of the modules of a monitor in one embodiment of the present application.

[0022] Fig.11 This is a schematic diagram of a pulse wave display interface in yet another embodiment of the present application.

[0023] Fig.12 This is a schematic diagram of a pulse wave display interface in yet another embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] The terms "first", "second", etc. in the specification and claims of this application and the drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the term "comprising" and any variation thereof are intended to cover non-exclusive inclusions. 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 steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0026] The following description is a preferred embodiment of the present invention, but the description is for the purpose of illustrating the general principles of the present invention and is not intended to limit the scope of the present invention. The scope of protection of the present invention shall be determined by the appended claims.

[0027] Please refer to Figure 1 , Figure 1 FIG. 1 is a flow chart of an irregular pulse rate identification method in an embodiment of the present application. It is understood that the execution order of the above method is not limited to Figure 1 The aforementioned method comprises the steps of:

[0028] Step 101: collecting a first physiological signal of a subject, wherein the first physiological signal at least contains pulse information;

[0029] Step 102: collecting a second physiological signal of the same subject, wherein the second physiological signal at least contains breathing information;

[0030] Step 103: Obtain pulse characteristic information according to the first physiological signal;

[0031] Step 104: Obtaining respiratory characteristic information according to the second physiological signal;

[0032] Step 105: filtering the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out the interference caused by respiration in the first physiological signal, and obtaining a filtered pulse wave signal;

[0033] Step 106: Identify the fluctuation rhythm information of the pulse wave based on the filtered pulse wave signal.

[0034] Thus, in the present application, a first physiological signal containing at least pulse information and a second physiological signal containing at least respiration information of the same subject are collected, and pulse characteristic information is obtained according to the aforementioned first physiological signal, and respiration characteristic information is obtained according to the aforementioned second physiological signal, and before identifying the fluctuation rhythm information of the pulse wave, the aforementioned first physiological signal is filtered according to the relationship between the aforementioned respiration characteristic information and the aforementioned pulse characteristic information, and the interference caused by respiration in the aforementioned first physiological signal is filtered out to obtain a filtered pulse wave signal, and the influence of respiration on the pulse wave is filtered out to obtain more realistic pulse characteristic information, thereby improving the accuracy of irregular pulse rate recognition. The pulse wave signal in this article includes at least one single pulse wave waveform.

[0035] It is understandable that the aforementioned first physiological signal and the aforementioned second physiological signal may originate from but are not limited to at least one of a pulse oximeter, a non-invasive blood pressure measurement device, a smart watch with a pulse measurement function, a smart bracelet with a pulse measurement function, an electromagnetic sensor, a sound sensor and an acceleration sensor.

[0036] For example, when the aforementioned first physiological signal or the aforementioned second physiological signal originates from an electromagnetic sensor, the electromagnetic sensor may include a conductive ring worn on the wrist and a Hall sensor arranged in the magnetic field of the conductive ring. The conductive ring on the wrist expands and contracts with the pulsation of the blood vessels, causing the magnetic field to change, and the Hall sensor can detect the change and generate a corresponding electromagnetic induction signal.

[0037] For another example, when the aforementioned first physiological signal or the aforementioned second physiological signal comes from a sound sensor, the sound signal of the pulse pulsation can be collected by the sound sensor, that is, the aforementioned sensor signal can be a sound signal, and then the sound frequency, volume, timbre and other characteristics are analyzed to obtain a pulse wave signal.

[0038] Specifically, in one embodiment, the first physiological signal of the subject is collected, the first physiological signal at least contains pulse information, and the pulse characteristic information is obtained according to the first physiological signal, including:

[0039] Light of different wavelengths is radiated into the tissue area of ​​the corresponding part of the subject, the light signal transmitted through the tissue area is detected, and the light signal is processed to obtain the pulse wave signal.

[0040] For example, in one embodiment, the first physiological signal of the subject is collected, and the first physiological signal at least contains pulse information. According to the first physiological signal, the pulse characteristic information is obtained, and the following non-invasive blood pressure measurement method can be used:

[0041] A1. Set the cuff on the specified part of the body;

[0042] B1. Control the cuff to inflate to a certain pressure so that the cuff compresses the artery, and then gradually deflate it;

[0043] C1. Sample the pressure in the cuff during deflation or inflation;

[0044] D1. Detect the pulse wave under the pressure and obtain the aforementioned pulse characteristic information.

[0045] Secondly, the aforementioned first physiological signal can be obtained by using invasive blood pressure, non-invasive blood pressure, blood oxygen and other detection equipment.

[0046] Specifically, in one embodiment, the pulse characteristic information is obtained according to the aforementioned first physiological signal, including: obtaining the pulse characteristic information after at least signal acquisition, hardware filtering, signal amplification and analog-to-digital conversion of the aforementioned first physiological signal. The pulse characteristic information mentioned in this article can be a parameter used to characterize the morphology of the fluctuating rhythm wave and / or the signal frequency characteristics, for example, morphological characteristic parameters such as pulse rate, pulse interval, pulse amplitude, pulse slope, etc., or it can be the waveform of the pulse wave.

[0047] Specifically, in one embodiment, obtaining respiratory characteristic information according to the aforementioned second physiological signal includes: obtaining respiratory characteristic information after at least performing signal acquisition, hardware filtering, signal amplification and analog-to-digital conversion on the aforementioned second physiological signal. The respiratory characteristic information mentioned herein may be a parameter used to characterize the respiratory wave morphology and / or signal frequency characteristics, for example, morphological characteristic parameters such as respiratory rate, respiratory wave interval, respiratory wave amplitude, respiratory wave slope, etc., or may be a waveform of a respiratory wave.

[0048] The pulse rate in this article can be calculated by identifying the interval of the pulse wave signal, and the respiratory rate can be calculated by identifying the peak-to-peak envelope, peak-to-valley difference envelope, peak-to-peak interval, valley envelope, valley interval and other characteristic values ​​of the pulse wave signal, and then re-interpolating it into a respiratory waveform, and obtaining the respiratory rate by calculating the interval of the interpolated respiratory waveform. The aforementioned first physiological signal and the second physiological signal can be derived from physiological signals collected by different sensors, or from the same physiological signal collected by the same sensor. For example, based on the same physiological signal collected by the same sensor, the pulse rate can be calculated by identifying the interval of the pulse wave signal in one physiological signal to obtain the aforementioned pulse characteristic information, or the peak-to-peak envelope, peak-to-valley difference envelope, peak-to-peak interval, valley envelope, valley interval and other characteristic values ​​of the pulse wave signal can be identified, and then interpolated into a respiratory waveform (such as generating a second physiological signal) and then the interval of the waveform is calculated to obtain the respiratory rate, thereby obtaining the aforementioned respiratory characteristic information.

[0049] Specifically, in one embodiment, filtering the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to remove the interference caused by respiration in the first physiological signal to obtain the filtered pulse wave signal includes:

[0050] Compare the aforementioned breathing characteristic information with the aforementioned pulse characteristic information and obtain a difference comparison result,

[0051] Automatically adjust the filter parameters to update the filter according to the aforementioned difference comparison result; and

[0052] The first physiological signal is filtered using the updated filter to obtain the filtered pulse wave signal.

[0053] In this way, the pulse wave can be adaptively filtered according to the differences between different patients or the differences between patients at different stages. Different patients or patients at different stages of illness or hospitalization will always have some differences, such as differences in heart beat frequency, breathing frequency, etc., and these differences will affect the measurement results of the signal. Usually, fixed filter parameters are set, but fixed filter parameters cannot meet individual needs. Therefore, this solution hopes to improve the signal acquisition accuracy by adaptively adjusting the filter parameters by identifying the comparative relationship or difference relationship between the respiratory feature information and the aforementioned pulse feature information.

[0054] Specifically, in one embodiment, the aforementioned automatic adjustment of the filter parameters according to the aforementioned difference comparison result to update the filter includes: selecting the corresponding filter for adaptive filtering according to the aforementioned difference comparison result. The difference comparison result mentioned in this article can be the comparison result between the waveform of the pulse wave and the respiratory waveform, or it can be the comparison result between the parameters used to characterize the morphological characteristics of the respiratory wave and the parameters used to characterize the morphological characteristics of the fluctuating rhythm wave. For example, in one embodiment, the aforementioned difference comparison result is obtained by at least one of the following: the ratio of the aforementioned respiratory characteristic information to the aforementioned pulse characteristic information, and the difference between the aforementioned respiratory characteristic information and the aforementioned pulse characteristic information. For another example, in one embodiment, the aforementioned difference comparison result is obtained by at least one of the following: the ratio of the respiratory rate to the pulse rate, and the difference between the respiratory rate and the pulse rate.

[0055] Secondly, in one of the embodiments, the process of filtering the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out the interference caused by respiration in the first physiological signal, and obtaining the filtered pulse wave signal includes:

[0056] When the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information is close to the pulse rate value or pulse rate spectrum in the pulse characteristic information, the first physiological signal may be filtered using a default signal filtering method to obtain a filtered pulse wave signal; and,

[0057] When there is a recognizable difference between the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information and the pulse rate value or pulse rate spectrum in the pulse characteristic information, the filtering parameters are adjusted according to the spectrum of the respiratory rate to filter the aforementioned first physiological signal, and the interference caused by breathing in the aforementioned first physiological signal is filtered out to obtain a filtered pulse wave signal.

[0058] The default signal filtering method mentioned in this embodiment may include a basic filtering method for the first physiological signal, for example, a signal filtering process before signal processing is performed on the first physiological signal.

[0059] Specifically, in one embodiment, the selecting a corresponding filter to perform adaptive filtering according to the difference comparison result includes:

[0060] When the difference comparison result is greater than or equal to a first threshold, selecting a first filter to filter the pulse characteristic information;

[0061] When the difference comparison result is less than the first threshold and greater than or equal to the second threshold, selecting a second filter to filter the pulse characteristic information, wherein the second threshold is less than the first threshold;

[0062] When the difference comparison result is less than the second threshold, selecting a third filter to filter the pulse characteristic information;

[0063] The first filter, the second filter and the third filter adopt different filtering parameters.

[0064] It can be understood that the first filter, the second filter and the third filter can be filters of different types, or filters of the same type but with different cutoff frequencies, which is not limited here.

[0065] Specifically, please refer to Figure 2 In one embodiment, the difference comparison result is the ratio of the breathing characteristic information to the pulse characteristic information. When the ratio of the breathing characteristic information to the pulse characteristic information is greater than or equal to a first threshold, the processor 10 selects the first filter to filter the pulse characteristic information. When the processor 10 determines that the ratio of the breathing characteristic information to the pulse characteristic information is less than the first threshold and greater than or equal to a second threshold, the processor 10 selects the second filter to filter the pulse characteristic information. When the processor 10 determines that the ratio of the breathing characteristic information to the pulse characteristic information is less than the second threshold, the processor 10 selects the third filter to filter the pulse characteristic information.

[0066] Specifically, in one embodiment, according to the filtered pulse wave signal, identifying the fluctuation rhythm information of the pulse wave includes:

[0067] The filtered pulse wave signal is subjected to time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis to obtain the fluctuation rhythm information of the pulse wave.

[0068] The fluctuation rhythm information mentioned in this article includes at least one of: the fluctuation rhythm waveform of the pulse wave, the rhythm quantization parameter, and the evaluation information of the regularity of the pulse rhythm.

[0069] Among them, the pulse wave fluctuation rhythm waveform may at least include the pulse wave waveform when the pulse wave is irregular, and may also include the pulse wave waveform when the pulse wave is regular, and may also include the pulse wave waveform form obtained during the measurement of physiological signs. The pulse wave waveform may include a waveform form for a period of time, or may be a continuously generated pulse wave waveform form. For example, the pulse wave waveform may be an irregular pulse wave waveform containing a period of time. In addition, the pulse wave waveform may at least include a pulse wave waveform corresponding to a good signal quality, and may also include a pulse wave waveform corresponding to a poor signal quality. For example, the pulse wave waveform corresponding to a good signal quality may include an irregular pulse wave waveform, and may also include a regular fluctuation rhythm waveform. In one embodiment, the pulse wave waveform corresponding to a good signal quality may include an irregular pulse wave waveform for a period of time.

[0070] Among them, the rhythm quantization parameter may include at least one of frequency domain characteristics, nonlinear dynamic characteristics, pulse frequency related quantity, waveform morphology characteristic value, waveform morphology characteristic statistics and variation related quantity.

[0071] The frequency domain features include at least one of spectrum features, spectrum feature statistics, power spectrum features, and power spectrum feature statistics. The spectrum features may include: one of the characteristic information of spectrum peak, spectrum interval, spectrum amplitude, spectrum area, spectrum slope, and spectrum envelope. The spectrum peak includes spectrum peak amplitude, which refers to the height of the spectrum peak; the spectrum peak includes spectrum peak position, which refers to the frequency position corresponding to the spectrum peak; the spectrum peak may also include the number of spectrum peaks, which refers to the number of spectrum peaks in the frequency band in the spectrum. The spectrum interval refers to the interval between any two frequencies, the spectrum amplitude refers to the amplitude corresponding to each frequency in the spectrum, the spectrum area refers to the integral of the spectrum in the frequency band, the spectrum slope refers to the slope of any rising or falling segment in the spectrum, and the spectrum envelope refers to the envelope formed by the connection between spectrum peaks. The spectrum feature statistics include one of the feature information of single spectrum feature statistics and multi-spectrum feature statistics, wherein the single spectrum feature statistics include: the maximum, mean, ratio, difference, sum, standard deviation, distribution statistics, etc. of different spectrum peak amplitudes, spectrum peak positions, spectrum intervals, spectrum amplitudes, spectrum areas, spectrum slopes, etc. in a single spectrum, and the statistical analysis values ​​of the spectrum feature statistics, such as the mean value of spectrum interval differences, the standard deviation of spectrum interval differences, etc. The multi-spectrum feature statistics include: the maximum, mean, ratio, difference, sum, standard deviation, distribution statistics, etc. of the spectrum peak amplitudes, the number of spectrum peaks, the spectrum peak positions, the spectrum intervals, the spectrum amplitudes, the spectrum areas, the spectrum slopes, etc. between the spectrums corresponding to different time periods within a period of time, and the statistical analysis values ​​of the spectrum feature statistics, such as the standard deviation of the maximum spectrum peak position difference between spectrums, the number of maximum spectrum peak position differences between spectrums exceeding a predetermined value, etc. The power spectrum features may include: one of the following characteristic information: power spectrum peak, power spectrum interval, power spectrum amplitude, power spectrum area, power spectrum slope, power spectrum envelope, etc. The power spectrum peak includes the power spectrum peak amplitude, which refers to the height of the power spectrum peak; the power spectrum peak includes the power spectrum peak position, which refers to the frequency position corresponding to the power spectrum peak; the power spectrum peak may also include the number of power spectrum peaks, which refers to the number of power spectrum peaks in the frequency band in the power spectrum. The power spectrum interval refers to the interval between any two frequencies, the power spectrum amplitude refers to the amplitude corresponding to each frequency in the power spectrum, the power spectrum area refers to the integral of the power spectrum in the frequency band, the power spectrum slope refers to the slope of any rising or falling segment in the power spectrum, and the power spectrum envelope refers to the envelope formed by the connection between the power spectrum peaks.The power spectrum characteristic statistics include one of the characteristic information of single power spectrum characteristic statistics and multiple power spectrum characteristic statistics, wherein the single power spectrum characteristic statistics include: the maximum value, mean value, ratio, difference, sum, standard deviation, distribution statistics, etc. of different power spectrum peak amplitudes, power spectrum peak positions, power spectrum intervals, power spectrum amplitudes, power spectrum areas, power spectrum slopes, etc. in a single power spectrum, and the statistical analysis values ​​of the power spectrum characteristic statistics, such as the mean value and standard deviation of the power spectrum interval difference. The multiple power spectrum characteristic statistics include: the maximum value, mean value, ratio, difference, sum, standard deviation, distribution statistics, etc. of the power spectrum peak amplitudes, the number of power spectrum peaks, the power spectrum peak positions, the power spectrum intervals, the power spectrum amplitudes, the power spectrum areas, the power spectrum slopes, etc. between the power spectra corresponding to different time periods within a period of time, and the statistical analysis values ​​of the power spectrum characteristic statistics, such as the standard deviation of the maximum power spectrum peak position difference between power spectra, the number of maximum power spectrum peak position differences between power spectra exceeding a predetermined value, etc.

[0072] The nonlinear dynamic characteristics include at least one of entropy and complexity, and the entropy includes but is not limited to information entropy, spectral entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy characteristics.

[0073] Pulse frequency related quantities include pulse rate and pulse rate statistical analysis quantities, for example, pulse rate statistical analysis quantities include maximum pulse rate value and / or minimum pulse rate value. Maximum pulse rate / minimum pulse rate definition: In a period of time, in a signal with N pulse waves, N-1 pulse rates can be calculated according to the intervals between adjacent pulse waves, among which the maximum and minimum values ​​of the pulse rate are defined as the maximum pulse rate and the minimum pulse rate.

[0074] The waveform morphology characteristic value includes at least one of pulse interval, pulse amplitude, pulse width, pulse area, pulse slope, pulse envelope, etc. Among them, the pulse interval refers to the time interval between two single pulses, which can be the time interval between peaks and peaks, troughs and troughs, or any corresponding points on two single pulses. The intervals can be adjacent or non-adjacent, and the single pulse in this article can be a pulse wave or a single pulse collected in other forms. The pulse amplitude refers to the difference between the peak and the trough, the pulse slope refers to the slope of any point in the rising and falling segments of the pulse wave, the pulse area refers to the time integral of the pulse wave between two adjacent troughs or between the start and end of a single pulse, the pulse width refers to the time length from the start to the end of a single pulse, and the pulse envelope refers to: the envelope formed by connecting the peaks and peaks (or troughs and troughs).

[0075] The waveform morphology characteristic statistics refer to the analysis results of the waveform morphology characteristic values ​​for a period of time based on the statistical analysis method, and may include at least one of the mean of the pulse interval, the difference of the pulse interval, the mean of the pulse interval difference, the sum of the pulse intervals, the ratio of the pulse intervals, the standard deviation of the pulse intervals, the difference of the pulse widths, the mean of the pulse widths, the standard deviation of the pulse widths, the sum of the pulse widths, the ratio of the pulse widths, the difference of the pulse amplitudes, the mean of the pulse amplitudes, the standard deviation of the pulse amplitudes, the difference of the pulse slopes, the mean of the pulse slopes, the standard deviation of the pulse slopes, the difference of the pulse areas, the mean of the pulse areas and the standard deviation of the pulse areas. Among them, the mean of pulse interval refers to the average value of pulse interval in a time period, the difference of pulse interval refers to the difference between pulse intervals, the mean of pulse interval difference refers to the mean of pulse interval difference in a time period, the standard deviation of pulse interval refers to the standard deviation of pulse interval in a time period, the mean of pulse amplitude refers to the mean of pulse amplitude in a time period, the standard deviation of pulse amplitude refers to the standard deviation of pulse amplitude in a time period, the difference of pulse slope refers to the difference between pulse slopes, the mean of pulse slope refers to the mean of pulse slope in a time period, the standard deviation of pulse slope refers to the standard deviation of pulse slope in a time period, the difference of pulse area refers to the difference between pulse areas, the mean of pulse area refers to the mean of pulse areas in a time period, and the standard deviation of pulse area refers to the standard deviation of pulse area in a time period. The rhythm quantization parameter can also include at least one of the threshold values ​​corresponding to the variability and the number of variations. The difference in pulse width refers to the difference between pulse widths, the mean of pulse width refers to the mean of the difference in pulse width within a time period, the standard deviation of pulse width refers to the standard deviation of pulse width within a time period, the sum of pulse intervals refers to the sum of pulse intervals, the ratio of pulse intervals refers to the ratio of different pulse intervals, the sum of pulse widths refers to the sum of pulse widths, and the ratio of pulse widths refers to the ratio between different pulse widths.

[0076] The variation correlation refers to a measure that reflects the changes in waveform morphology characteristic values, waveform morphology characteristic statistics, pulse wave frequency correlation, frequency domain characteristics, and nonlinear dynamic characteristics over a period of time. For example, the variation correlation includes at least one of the variation degree and the number of variations.

[0077] The aforementioned variability is used to characterize the degree of variation of the signal characteristic information of the pulse wave relative to the statistical analysis result of the pulse wave signal characteristic information within a period of time, and the signal characteristic information here includes at least one of the waveform morphology characteristic value, waveform morphology characteristic statistic, pulse wave frequency related quantity, frequency domain characteristic, nonlinear dynamic characteristic, etc. In one embodiment, the variability can be the difference between one of the waveform morphology characteristic value, pulse wave frequency related quantity, frequency domain characteristic, nonlinear dynamic characteristic and the waveform morphology characteristic statistic, the statistic of the pulse wave frequency related quantity within a period of time, the statistic of the frequency domain characteristic within a period of time, and the statistic of the nonlinear dynamic characteristic within a period of time. The difference in this article can be obtained by calculating the difference, calculating the quotient, calculating the combination of the difference and the quotient, etc. The statistical analysis method mentioned in this article includes one of the mathematical statistical methods such as mean calculation, difference calculation, standard deviation calculation, etc. Specifically, in one embodiment, the aforementioned variability can refer to the degree of variation of a pulse wave relative to a pulse wave of any period of time, and specifically, the aforementioned variability can refer to the degree of variation of the current pulse wave relative to the pulse wave within a period of time, such as the variability of the pulse interval. The following is an example of the variability of pulse intervals. If the current pulse wave is the seventh pulse wave, it has six pulse intervals. The difference between at least one of the six pulse intervals and the average of any number of the six pulse intervals is calculated, and the ratio of the difference to the average is used as the variability of the pulse interval. It can be understood that in other embodiments, the aforementioned variability refers to the degree of variation of the current pulse wave relative to the previous pulse wave. For example, if the current pulse wave is the seventh pulse wave, it has six pulse intervals. The difference between the sixth pulse interval and the average of the first five pulse intervals is calculated, and the ratio of the difference to the average of the first five pulse intervals is used as the variability of the pulse interval.

[0078] The variation times may refer to the number of pulse wave variations within a period of time, for example, the number of times that the waveform morphology characteristic value, waveform morphology characteristic statistic, pulse wave frequency-related quantity, frequency domain characteristic, and nonlinear dynamic characteristic exceed a predetermined value within a period of time. Specifically, the variation times may refer to the number of times that the difference of pulse interval exceeds a predetermined value, or the number of times that one of the pulse wave signal characteristic information such as pulse interval, mean of pulse interval, mean of pulse interval difference, standard deviation of pulse interval, difference of pulse amplitude, mean of pulse amplitude, standard deviation of pulse amplitude, difference of pulse slope, mean of pulse slope, standard deviation of pulse slope, difference of pulse area, mean of pulse area, standard deviation of pulse area, pulse rate value, maximum pulse rate value, and minimum pulse rate value exceeds a predetermined value within a period of time.

[0079] Among them, the evaluation information of the regularity of the pulse rhythm includes the evaluation result of judging whether the pulse wave is irregular or giving suggestions on whether the pulse wave is regular or not. For example, the evaluation result can be a specific label or identification result, which is used to characterize whether the pulse wave within a period of time is regular or irregular. Suggestions include prompt information and / or recommendation information. The prompt information refers to the estimated conclusion that is doubtful about the fluctuation of the pulse wave within a period of time, for example, the estimated conclusion of "suspected regularity" or "suspected irregularity". Recommendation information is used to guide user judgment and operation. For example, the recommendation information includes prompting the user to make an appointment for ECG, make an appointment for electrocardiogram, print the fluctuation rhythm waveform, make an appointment for ultrasound examination and other functions. When the pulse wave appears irregular or "suspected irregular", prompt information is provided to guide the user to judge and operate. In some embodiments, the evaluation information of the regularity of the pulse rhythm can be given based on the comparison between the identified rhythm quantization parameters and the corresponding preset thresholds. For example, the evaluation information of the regularity of the pulse rhythm can be given based on the comparison between the aforementioned variability and the corresponding threshold, the aforementioned number of variations and the corresponding threshold, or the aforementioned variability and number of variations are compared with the corresponding thresholds respectively, and the evaluation information of the regularity of the pulse rhythm can be given according to the comparison results, so as to determine whether the pulse wave is regular, or give a suggestion on whether the pulse wave is regular or not according to the comparison results. In some embodiments, the evaluation information of the regularity of the pulse rhythm can be given based on the comparison between one characteristic information in the aforementioned rhythm quantization parameters identified and the threshold; or, the evaluation information of the regularity of the pulse rhythm can be given based on the comparison between two or more (including two) characteristic information in the aforementioned rhythm quantization parameters identified and the corresponding thresholds respectively, and a multi-condition combination judgment can be made, so as to give the evaluation information of the regularity of the pulse rhythm. Secondly, in some embodiments, at least one characteristic information in the identified rhythm quantization parameter is compared with a preset threshold value for multiple times in a row, and when the multiple comparison results all meet the standard of pulse wave regularity or pulse wave irregularity, an evaluation result of pulse wave regularity or pulse wave irregularity is given, thereby obtaining evaluation information of the regularity of the pulse rhythm, or giving a suggestion on whether the aforementioned pulse wave is regular or not. Secondly, in some embodiments, at least one characteristic information in the identified rhythm quantization parameter is compared with a preset threshold value for multiple times in a row within a period of time, and when the proportion of the number of times characterizing the regularity of the pulse wave in the multiple comparison results meets the standard of the regularity of the pulse wave, the evaluation result of the regularity of the pulse wave is output, and when the proportion of the number of times characterizing the irregularity of the pulse wave in the multiple comparison results meets the standard of the irregularity of the pulse wave, the evaluation result of the irregularity of the pulse wave is output.

[0080] Specifically, in one embodiment, performing time domain analysis on the filtered pulse wave signal to obtain the fluctuation rhythm information of the pulse wave includes:

[0081] The peak information and trough information of the pulse wave signal after the above filtering are searched, and the pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, pulse interval difference, pulse amplitude difference, pulse slope difference, pulse area difference, pulse interval mean, pulse interval difference mean, pulse amplitude mean, pulse slope mean, pulse area mean, pulse interval standard deviation, pulse amplitude standard deviation, pulse wave slope standard deviation, pulse area standard deviation, pulse width sum, pulse width ratio, pulse width difference, maximum pulse rate value, minimum pulse rate value, variability, variability times and at least one of the thresholds corresponding to the variability and variability times are calculated according to the above peak information and trough information, and the corresponding calculated pulse wave signal characteristic information is used as part or all of the pulse wave fluctuation rhythm information. The calculated pulse wave signal characteristic information contains at least one of the pulse wave frequency correlation, waveform morphology characteristic value, waveform morphology characteristic statistic and the variation correlation obtained based on the pulse wave frequency correlation, waveform morphology characteristic value and waveform morphology characteristic statistic.

[0082] In addition, further, in one of the embodiments, the following steps may be included: the corresponding pulse wave signal characteristic information calculation result is compared with the corresponding preset threshold value to obtain the fluctuation rhythm information of the pulse wave. For example, in one of the embodiments, the pulse wave is screened for regularity according to the pulse wave signal characteristic information calculated above, and the corresponding pulse wave fluctuation rhythm information within a period of time is obtained. The corresponding pulse wave fluctuation rhythm information within the period of time is the corresponding fluctuation rhythm information when an irregular pulse wave occurs, that is, it at least includes one of the irregular pulse wave waveform, the fluctuation rhythm information corresponding to the irregular pulse wave for a period of time, and the evaluation information of the rhythm regularity.

[0083] Of course, in one embodiment, the process of identifying the fluctuation rhythm information of the pulse wave according to the aforementioned filtered pulse wave signal includes:

[0084] identifying an irregular pulse wave signal based on the filtered pulse wave signal;

[0085] Extract irregular pulse wave signals over a period of time,

[0086] Based on the irregular pulse wave signal within a period of time, the above-mentioned fluctuation rhythm information is output. For example, based on the irregular pulse wave signal within a period of time, the fluctuation rhythm information corresponding to the irregular pulse wave signal is output.

[0087] The length of "a period of time" in this article can be a default of the machine, or can be adjusted according to the user's choice, or can be adjusted at any time according to the measurement results during real-time sampling. In this embodiment, according to the aforementioned filtered pulse wave signal, the irregular pulse wave signal can be identified by comparing the corresponding calculated pulse wave signal feature information with the corresponding preset threshold value to determine the irregular pulse wave signal, thereby improving the accuracy of signal calculation.

[0088] Specifically, in one embodiment, frequency domain analysis is performed on the pulse wave signal to obtain the fluctuation rhythm information of the pulse wave, including:

[0089] The pulse wave signal after the above filtering is converted into a frequency domain signal by Laplace transform and other algorithms, and the frequency domain features are obtained. The specific definition can be seen in the above description. Furthermore, the corresponding calculation result can be compared with the corresponding preset threshold to obtain the fluctuation rhythm information of the pulse wave. For example, the calculation result of the frequency domain characteristic value is compared with the corresponding preset threshold to identify the irregular pulse wave signal, extract the irregular pulse wave signal within a period of time, and output the above-mentioned fluctuation rhythm information based on the irregular pulse wave signal within a period of time. For example, the fluctuation rhythm information corresponding to the irregular pulse wave signal is output based on the irregular pulse wave signal within a period of time.

[0090] Specifically, in one embodiment, performing nonlinear dynamic analysis on the aforementioned pulse wave signal to obtain the fluctuation rhythm information of the pulse wave includes:

[0091] The nonlinear dynamic characteristic value is obtained by nonlinear dynamic analysis of the pulse wave signal after the above filtering, and the characteristic value includes but is not limited to the nonlinear dynamic characteristic value including the information entropy, spectrum entropy, approximate entropy, sample entropy, fuzzy entropy and other entropy value characteristics or complexity characteristics of the pulse wave waveform. Furthermore, the corresponding nonlinear dynamic characteristic value calculation result can also be compared with the corresponding preset threshold to obtain the fluctuation rhythm information of the pulse wave. For example, the calculation result of the nonlinear dynamic characteristic value is compared with the corresponding preset threshold, so as to identify the irregular pulse wave signal, extract the irregular pulse wave signal within a period of time, and output the above-mentioned fluctuation rhythm information based on the irregular pulse wave signal within a period of time, for example, the fluctuation rhythm information corresponding to the irregular pulse wave signal is output based on the irregular pulse wave signal within a period of time.

[0092] Secondly, in some embodiments, the aforementioned pulse wave signal is subjected to machine analysis to obtain the fluctuation rhythm information of the pulse wave, including:

[0093] The filtered pulse wave signal is input into the trained machine learning model to automatically obtain the fluctuation rhythm information of the pulse wave.

[0094] Among them, a machine learning model can be established through model training, and the machine learning model is such as a neural network model. In one embodiment, when training the machine learning model, the correlation between the calculation results of the rhythm quantization parameters and the evaluation information of the rhythm regularity, and / or the correlation between the pulse wave waveform and the evaluation information of the rhythm regularity can be input into the training machine learning model to obtain the machine learning model after the training is completed. Of course, in some embodiments, the aforementioned pulse wave signal is subjected to machine analysis to obtain the fluctuation rhythm information of the pulse wave, including: inputting the rhythm quantization parameters obtained from the pulse wave signal after filtering based on time domain analysis, frequency domain analysis, or nonlinear dynamic analysis into the machine learning model after the training is completed, and the fluctuation rhythm information of the pulse wave can be automatically obtained, wherein the fluctuation rhythm information includes the evaluation information of the rhythm regularity.

[0095] Specifically, in one embodiment, the step of identifying the pulse wave fluctuation rhythm information based on the filtered pulse wave signal comprises at least one of the following steps:

[0096] generating a pulse wave rhythm waveform according to the aforementioned pulse wave signal; and,

[0097] Based on the aforementioned pulse wave signal, a rhythm quantification parameter characterizing the degree of regularity of the signal fluctuation rhythm is identified.

[0098] Specifically, in one of the embodiments, the rhythm quantification parameter regarding the degree of regularity of the signal fluctuation rhythm is obtained by identifying the waveform morphology feature information of the pulse wave.

[0099] Secondly, information output can also be performed for the irregular pulse wave signal. Therefore, in one embodiment of the present invention, the irregular pulse wave signal is obtained by time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis based on the aforementioned filtered pulse wave signal;

[0100] Extract irregular pulse wave signals over a period of time,

[0101] Based on the irregular pulse wave signal within a period of time, a fluctuating rhythm waveform of the pulse wave is generated, and / or a rhythm quantization parameter corresponding to the irregular pulse wave signal within a period of time is identified.

[0102] Specifically, in one embodiment, please refer to Figure 3 The aforementioned method further comprises at least one of the following steps: displaying the fluctuation rhythm waveform of the pulse wave, and displaying the rhythm quantification parameter characterizing the degree of regularity of the signal fluctuation rhythm.

[0103] Specifically, in one embodiment, the aforementioned display of the pulse wave's fluctuation rhythm waveform includes: displaying the pulse wave's fluctuation rhythm waveform on the vital signs display interface or in a new window that pops up on the aforementioned vital signs display interface. In one embodiment, the aforementioned display of the rhythm quantification parameter that characterizes the degree of regularity of the signal's fluctuation rhythm includes: displaying the rhythm quantification parameter that characterizes the degree of regularity of the signal's fluctuation rhythm on the vital signs display interface or in a new window that pops up on the aforementioned vital signs display interface.

[0104] For example, Fig.11 As shown, on the vital sign display interface 11A of the monitor 100, the measurement parameter "120 / 80" about the non-invasive blood pressure NIBP, the measurement parameter "98" about the blood oxygen SPO2, the pulse rate measurement parameter "64" about the pulse characteristic information, the measurement parameter "102.5" about the body temperature, and the respiratory rate measurement parameter "20" about the respiratory characteristic information are displayed in partitions. In addition, on the same vital sign display interface monitor 11A, a specific area is set to display the fluctuating rhythm waveform 11C of the pulse wave. For example, the fluctuating rhythm waveform 11C can be a fluctuating rhythm waveform during the measurement process, or it can be a fluctuating rhythm waveform corresponding to an irregular pulse wave signal within a period of time.

[0105] Secondly, if Fig.12 As shown, on the vital sign display interface monitor 12A of the monitor 100, the measurement parameters "120 / 80" of non-invasive blood pressure NIBP, the measurement parameters "98" of blood oxygen SPO2, the pulse rate measurement parameters "64" of pulse characteristic information, the measurement parameters "102.5" of body temperature, and the respiratory rate measurement parameters "20" of respiratory characteristic information are displayed in different areas. In addition, on the same vital sign display interface monitor 12A, when the pulse wave is irregular, a new window 12B pops up on the vital sign display interface monitor 12A, and the fluctuating rhythm waveform 12C can be displayed in the new window 12B. For example, the fluctuating rhythm waveform 12C can be the fluctuating rhythm waveform during the measurement process, or the fluctuating rhythm waveform corresponding to the irregular pulse wave signal within a period of time. Secondly, the new window 12B also displays the number of variations "4", the threshold of the number of variations "4", the maximum pulse rate PRmax "80" and the minimum pulse rate PRmin "40". At the same time, suggestions on whether the pulse wave is regular or not can also be given in the new window 12B, such as outputting a prompt message of suspected irregularity for the user to judge. The prompt message includes touch buttons displaying "regular" and "irregular" on the interface. When the user inputs the judgment conclusion of "irregular" based on the fluctuation rhythm waveform and fluctuation rhythm quantification parameters displayed in the new window 12B, an irregular mark is generated accordingly and stored in association with the relevant fluctuation rhythm waveform and fluctuation rhythm quantification parameters, which can be used as an evaluation result for judging whether the pulse wave is irregular.

[0106] Specifically, in one embodiment, the method further includes:

[0107] displaying the aforementioned pulse characteristic information and / or the aforementioned breathing characteristic information; and,

[0108] Displays the fluctuation rhythm information of the aforementioned pulse wave.

[0109] Specifically, in one embodiment, the display of the pulse wave rhythm information includes:

[0110] Prompt information is generated and displayed based on the aforementioned fluctuation rhythm information. The prompt information is a text prompt, a graphic prompt, or a combination of text and graphic prompts. Figure 4 As shown, “Suspected Irregular Pulse Rate ❤” is displayed at the top of the aforementioned vital signs display interface.

[0111] Specifically, in one embodiment, the aforementioned waveform showing the pulse wave rhythm includes:

[0112] Display the fluctuating rhythm waveform within a period of time and the rhythm quantization parameter related to the fluctuating rhythm waveform within the period of time; or display the fluctuating rhythm waveform within a period of time. For example, the rhythm quantization parameter can be superimposed on the fluctuating rhythm waveform for display.

[0113] Specifically, in this embodiment, please refer to Figure 4 The aforementioned display of the fluctuating rhythm waveform of the pulse wave includes: displaying the fluctuating rhythm waveform over a period of time, and rhythm quantization parameters related to the fluctuating rhythm waveform over the period of time, including the pulse interval "31, 43, 33, 48, 29", the difference of the pulse interval "12, 10, 15, 19", the mean of the pulse interval "36.8", and the mean of the difference of the pulse interval "14".

[0114] Specifically, in one embodiment, it also includes: popping up a selection window for the user to input an evaluation result of determining whether the pulse wave is irregular.

[0115] For example, see Figure 5 , a selection window pops up, which includes two selection keys "Yes" and "No", for the user to manually select "Yes" or "No" to determine whether it is an irregular pulse rate. Specifically, when "Yes" is selected, it is determined to be an irregular pulse rate, and when "No" is selected, it is determined not to be an irregular pulse rate. For example Fig.12In the example, when the automatic detection determines that there is an irregular pulse wave, a new window 12B pops up, and the number of variations "4", the threshold of the number of variations "4", the maximum pulse rate PRmax "80", the minimum pulse rate PRmin "40", and the fluctuation rhythm waveform 11C are displayed in the new window 12B. At the same time, suggestions on whether the pulse wave is regular or not can also be given in the new window 12B, such as outputting a suspected irregular prompt information for the user to judge, and the prompt information includes touch buttons showing "regular" and "irregular" on the interface. When the user inputs the judgment conclusion of "irregular" based on the fluctuation rhythm waveform and fluctuation rhythm quantification parameters displayed in the new window 12B, an irregular mark is generated accordingly, and is stored in association with the relevant fluctuation rhythm waveform and fluctuation rhythm quantification parameters, which can be used as an evaluation result for judging whether the pulse wave is irregular.

[0116] Specifically, in one embodiment, when the aforementioned evaluation information (or evaluation result) indicates that the current pulse wave is irregular, please refer to Figure 6 , the aforementioned method further comprises:

[0117] A function prompt area related to the next step of work is provided, and the aforementioned function prompt area includes at least one of printing fluctuation rhythm waveform, scheduling ECG examination, scheduling ultrasound examination and other functions.

[0118] It is understood that in other embodiments, please refer to Figure 7 The aforementioned waveform showing the pulse wave rhythm includes:

[0119] Displays the fluctuating rhythm waveform, irregular pulse rate prompt information and the next step work related function prompt area within a period of time, and the aforementioned function prompt area includes at least one of printing the fluctuating rhythm waveform, scheduling ECG examination, scheduling ultrasound examination and other functions.

[0120] Specifically, in one embodiment, the rhythm quantization parameters characterized by the degree of regularity of the signal fluctuation rhythm include: pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, difference in pulse intervals, difference in pulse amplitude, difference in pulse slope, difference in pulse area, mean of pulse intervals, mean of pulse interval differences, mean of pulse amplitude, mean of pulse slope, mean of pulse area, standard deviation of pulse intervals, standard deviation of pulse amplitude, standard deviation of pulse wave slope, standard deviation of pulse area, standard deviation of pulse width, sum of pulse widths, ratio of pulse widths, difference in pulse widths, maximum pulse rate value, minimum pulse rate value, degree of variation, number of variations, and at least one of the thresholds corresponding to the degree of variation and number of variations, respectively.

[0121] Specifically, in one embodiment, the method further includes:

[0122] Sound and / or light alarms are issued based on the recognized pulse wave rhythm information.

[0123] Specifically, in one embodiment, the aforementioned sound and / or light alarm based on the recognized pulse wave rhythm information includes:

[0124] Based on the pulse wave signal after filtering, a rhythm quantization parameter representing the regularity of the rhythm of the signal fluctuation is identified, and,

[0125] Based on the comparison result of the aforementioned rhythm quantification parameter with the preset threshold, an audible and / or visual alarm is activated.

[0126] Thus, it is convenient for users to understand the patient's condition in time and provide timely treatment.

[0127] Please refer to Figure 8 , Figure 8 FIG. 1 is a flow chart of an irregular pulse rate identification method in another embodiment of the present application. The execution order of the aforementioned irregular pulse rate identification method is not limited to Figure 8 The above-mentioned irregular pulse rate identification method comprises the steps of:

[0128] Step 801: collecting a physiological signal of the subject to obtain a pulse wave signal;

[0129] Step 802: Obtain pulse characteristic information according to the aforementioned pulse wave signal;

[0130] Step 803: Obtaining respiratory characteristic information according to the aforementioned pulse wave signal;

[0131] Step 804: filtering the pulse wave signal according to the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out the interference caused by respiration in the physiological signal, and obtaining a filtered pulse wave signal;

[0132] Step 805: Identify the fluctuation rhythm information of the pulse wave based on the filtered pulse wave signal.

[0133] Therefore, in the present application, the same sensor is used to collect a physiological signal of the same subject, and pulse characteristic information and respiration characteristic information are obtained based on the physiological signal. Before identifying the fluctuation rhythm information of the pulse wave, the pulse wave signal is filtered based on the relationship between the aforementioned respiration characteristic information and the aforementioned pulse characteristic information, and the interference caused by respiration in the physiological signal is filtered out to obtain a filtered pulse wave signal, and the influence of respiration on the pulse wave is filtered out to obtain more realistic pulse characteristic information, thereby improving the accuracy of irregular pulse rate recognition.

[0134] It is understandable that the aforementioned physiological signals may originate from but are not limited to at least one of a pulse oximeter, a non-invasive blood pressure measurement device, a smart watch with a pulse measurement function, a smart bracelet with a pulse measurement function, an electromagnetic sensor, a sound sensor, and an acceleration sensor.

[0135] Among them, when the aforementioned physiological signal comes from an electromagnetic sensor, the electromagnetic sensor may include a conductive ring worn on the wrist and a Hall sensor arranged in the magnetic field of the conductive ring. The conductive ring on the wrist expands and contracts with the pulsation of the blood vessels, causing the magnetic field to change, so that the change can be detected by the Hall sensor to generate a corresponding electromagnetic induction signal.

[0136] For another example, when the aforementioned physiological signal comes from a sound sensor, the sound signal of the pulse pulsation can be collected by the sound sensor, that is, the aforementioned sensor signal can be a sound signal, and then the pulse wave signal can be obtained by analyzing the characteristics of the sound such as frequency, volume, and timbre.

[0137] Specifically, in one embodiment, the aforementioned collecting of a physiological signal of the subject to obtain a pulse wave signal, and obtaining pulse characteristic information according to the aforementioned pulse wave signal, includes:

[0138] Light of different wavelengths is radiated into the tissue area of ​​the corresponding part of the subject, the light signal transmitted through the tissue area is detected, and the light signal is processed to obtain the pulse wave signal.

[0139] In addition, the aforementioned method of collecting a physiological signal of the subject to obtain a pulse wave signal and obtaining pulse characteristic information based on the aforementioned pulse wave signal can also be obtained according to the non-invasive blood pressure detection scheme based on cuff inflation pressure detection in the aforementioned step 101.

[0140] Specifically, in one embodiment, the process of obtaining the pulse characteristic information according to the pulse wave signal and the process of obtaining the respiratory characteristic information according to the pulse wave signal can be based on the same physiological signal collected. For example, the pulse characteristic information and the respiratory characteristic information can be obtained after at least signal collection, hardware filtering, signal amplification and analog-to-digital conversion are performed on the same physiological signal.

[0141] Specifically, in one embodiment, the step of adaptively filtering the physiological signal according to the respiratory characteristic information and the pulse characteristic information to obtain a filtered pulse wave signal includes:

[0142] Compare the aforementioned breathing characteristic information with the aforementioned pulse characteristic information and obtain a difference comparison result,

[0143] Automatically adjust the filter parameters to update the filter according to the aforementioned difference comparison result; and

[0144] The updated filter is used to filter the physiological signal to obtain the aforementioned filtered pulse wave signal.

[0145] Specifically, in one embodiment, the automatically adjusting the filter parameters according to the difference comparison result to update the filter includes: selecting a corresponding filter to perform adaptive filtering according to the difference comparison result.

[0146] In this way, the pulse wave can be adaptively filtered according to the differences between different patients or the differences between patients at different stages. Different patients or patients at different stages of illness or hospitalization will always have some differences, such as differences in heart beat frequency, breathing frequency, etc., and these differences will affect the measurement results of the signal. Usually, fixed filter parameters are set, but fixed filter parameters cannot meet individual needs. Therefore, this solution hopes to improve the signal acquisition accuracy by adaptively adjusting the filter parameters by identifying the comparative relationship or difference relationship between the respiratory feature information and the aforementioned pulse feature information.

[0147] Specifically, in one embodiment, the selecting a corresponding filter to perform adaptive filtering according to the difference comparison result includes:

[0148] When the difference comparison result is greater than or equal to a first threshold, selecting a first filter to filter the pulse characteristic information;

[0149] When the difference comparison result is less than the first threshold and greater than or equal to the second threshold, selecting a second filter to filter the pulse characteristic information, wherein the second threshold is less than the first threshold;

[0150] When the difference comparison result is less than the second threshold, selecting a third filter to filter the pulse characteristic information;

[0151] The first filter, the second filter and the third filter adopt different filtering parameters.

[0152] Specifically, in one embodiment, the difference comparison result is obtained by using at least one of the following:

[0153] The ratio of the aforementioned respiratory characteristic information to the aforementioned pulse characteristic information, and,

[0154] The difference between the aforementioned breathing characteristic information and the aforementioned pulse characteristic information.

[0155] Specifically, please refer to Figure 2In one embodiment, the difference comparison result is the ratio of the breathing characteristic information to the pulse characteristic information. When the ratio of the breathing characteristic information to the pulse characteristic information is greater than or equal to a first threshold, the processor 10 selects the first filter to filter the pulse characteristic information. When the processor 10 determines that the ratio of the breathing characteristic information to the pulse characteristic information is less than the first threshold and greater than or equal to a second threshold, the processor 10 selects the second filter to filter the pulse characteristic information. When the processor 10 determines that the ratio of the breathing characteristic information to the pulse characteristic information is less than the second threshold, the processor 10 selects the third filter to filter the pulse characteristic information.

[0156] Secondly, in one of the embodiments, the process of filtering the physiological signal based on the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out the interference caused by respiration in the physiological signal, and obtaining the filtered pulse wave signal includes:

[0157] When the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information is close to the pulse rate value or pulse rate spectrum in the pulse characteristic information, the aforementioned physiological signal can be filtered using a default signal filtering method to obtain a filtered pulse wave signal; and,

[0158] When there is a recognizable difference between the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information and the pulse rate value or pulse rate spectrum in the pulse characteristic information, the filtering parameters are adjusted according to the respiratory rate spectrum to filter the aforementioned physiological signal, filter out the interference caused by breathing in the aforementioned physiological signal, and obtain a filtered pulse wave signal.

[0159] The default signal filtering method mentioned in this embodiment may include a basic filtering method for physiological signals, for example, a signal filtering process before signal processing is performed on the physiological signals.

[0160] Specifically, in one embodiment, according to the filtered pulse wave signal, identifying the fluctuation rhythm information of the pulse wave includes:

[0161] The filtered pulse wave signal is subjected to time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis to obtain the fluctuation rhythm information of the pulse wave.

[0162] In one of the embodiments, the aforementioned method further uses at least one of the following steps to output and display the fluctuation rhythm information:

[0163] The output displays the fluctuation rhythm waveform of the pulse wave, and the output displays the rhythm quantification parameter representing the degree of regularity of the signal fluctuation rhythm.

[0164] Specifically, in one of the embodiments, the rhythm quantification parameter regarding the degree of regularity of the signal fluctuation rhythm is obtained by identifying the waveform morphology feature information of the pulse wave.

[0165] Secondly, information output can also be performed for the irregular pulse wave signal. Therefore, in one embodiment of the present invention, the irregular pulse wave signal is obtained by time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis based on the aforementioned filtered pulse wave signal;

[0166] Extract irregular pulse wave signals over a period of time,

[0167] Based on the irregular pulse wave signal within a period of time, a fluctuating rhythm waveform of the pulse wave is generated, and / or a rhythm quantization parameter corresponding to the irregular pulse wave signal within a period of time is identified.

[0168] In one embodiment, if Fig.11 and Fig.12 As shown, the aforementioned output shows the fluctuating rhythmic waveform of the pulse wave, including:

[0169] Displaying the pulse wave rhythm waveform on the vital signs display interface or in a new window that pops up on the vital signs display interface; or,

[0170] The display of the rhythm quantification parameter representing the regularity of the signal fluctuation rhythm includes: displaying the rhythm quantification parameter representing the regularity of the signal fluctuation rhythm on a vital sign display interface or in a new window that pops up on the vital sign display interface.

[0171] For the definition, identification or acquisition method, output mode, display scheme and signal processing process of the pulse wave fluctuation rhythm information, please refer to the above embodiment about Figure 1 The relevant description of the method will not be repeated here.

[0172] Please refer to Fig. 9 , Fig. 9 FIG. 1 is a flow chart of the irregular pulse rate identification method in the second embodiment of the present application. The execution order of the aforementioned irregular pulse rate identification method is not limited to Fig. 9 The above-mentioned irregular pulse rate identification method comprises the steps of:

[0173] Step 901: collecting physiological signals of the subject, wherein the physiological signals at least include pulse information and respiration information;

[0174] Step 902: Obtain pulse characteristic information according to the aforementioned physiological signal;

[0175] Step 903: Obtaining respiratory characteristic information according to the aforementioned physiological signal;

[0176] Step 904: output and display the aforementioned pulse characteristic information and breathing characteristic information;

[0177] Step 905: determining a filter preset by the user, filtering the physiological signal using the filter, filtering out interference caused by breathing in the physiological signal, and obtaining a filtered pulse wave signal;

[0178] Step 906: Identify the fluctuation rhythm information of the pulse wave based on the filtered pulse wave signal.

[0179] Specifically, in one embodiment, the subject's physiological signals are collected, and the aforementioned physiological signals at least contain pulse information and respiration information, which can be obtained through the aforementioned photoelectric volume pulse wave signal or non-invasive blood pressure measurement method. The aforementioned pulse characteristic information and respiration characteristic information can be output and displayed as follows: Fig.11 and Fig.12 Display mode shown.

[0180] Specifically, in one embodiment, the method further includes:

[0181] A setting window is provided, in which at least two filters are displayed for the user to select, and different filters use different filtering parameters, such as different cutoff frequencies.

[0182] Specifically, in one embodiment, the filter parameter of the filter is related to a difference comparison result, which is the result of a difference comparison between the respiratory characteristic information and the pulse characteristic information. For the description of the difference comparison result, please refer to the explanation of step 105 in the above embodiment.

[0183] Specifically, in one embodiment, the step of identifying the pulse wave fluctuation rhythm information based on the filtered pulse wave signal includes:

[0184] The pulse wave signal is subjected to time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis to obtain the fluctuation rhythm information of the pulse wave.

[0185] For the definition, identification or acquisition method, output mode, display scheme and signal processing process of the pulse wave fluctuation rhythm information, please refer to the relevant description of the aforementioned embodiments, which will not be repeated here.

[0186] Please refer to Fig.10 , Fig.10Schematic diagram of a module of a monitor 100 in an embodiment of the present application. The monitor 100 includes a processor 10, at least one parameter measurement circuit 20, a display screen 30 and a memory 50. The at least one parameter measurement circuit 20 is connected to an externally inserted sensor accessory through a corresponding sensor interface to collect physiological signals of the subject, wherein the physiological signals at least include a pulse wave signal and a breathing signal. The display screen 30 is used to display relevant information of the physiological signals. The memory 50 is used to store data and computer programs. When the processor 10 executes the computer program, the following process is implemented: pulse characteristic information and breathing characteristic information are obtained according to the physiological signals, and the pulse characteristic information and breathing characteristic information are output to the display screen to display the pulse characteristic information and breathing characteristic information, and the physiological signals are filtered according to the relationship between the breathing characteristic information and the pulse characteristic information, and the interference caused by breathing in the physiological signals is filtered to obtain the filtered pulse wave signal, and the pulse wave fluctuation rhythm information is identified according to the filtered pulse wave signal; the fluctuation rhythm information is output.

[0187] Specifically, in this embodiment, the at least one parameter measurement circuit 20 is respectively connected to an externally inserted sensor accessory through a corresponding sensor interface to collect a first physiological signal and a second physiological signal of the subject. The first physiological signal at least includes a pulse wave signal, and the second physiological signal at least includes a breathing signal. The processor 10 implements the following process when executing the computer program: obtaining pulse characteristic information according to the first physiological signal, and obtaining breathing characteristic information according to the second physiological signal, filtering the physiological signal according to the relationship between the breathing characteristic information and the pulse characteristic information, filtering out the interference caused by breathing in the physiological signal, obtaining a filtered pulse wave signal, obtaining a filtered pulse wave signal, and identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal.

[0188] Thus, in the present application, a first physiological signal containing at least pulse information and a second physiological signal containing at least respiration information of the same subject are collected, and pulse characteristic information is obtained based on the aforementioned first physiological signal, and respiration characteristic information is obtained based on the aforementioned second physiological signal, and before identifying the fluctuation rhythm information of the pulse wave, the aforementioned physiological signal is filtered according to the relationship between the aforementioned respiration characteristic information and the aforementioned pulse characteristic information, and the interference caused by respiration in the aforementioned physiological signal is filtered out to obtain a filtered pulse wave signal, and the influence of respiration on the pulse wave is filtered out to obtain more realistic pulse characteristic information, thereby improving the accuracy of irregular pulse rate recognition. Of course, the aforementioned first physiological signal and the second physiological signal can come from physiological signals collected by different sensors, or from the same physiological signal collected by the same sensor. For details, please refer to the relevant description above.

[0189] Specifically, in one embodiment, the processor 10 obtains pulse characteristic information based on the first physiological signal, including: performing at least signal acquisition, hardware filtering, signal amplification and analog-to-digital conversion on the first physiological signal to obtain the pulse characteristic information.

[0190] Specifically, in one embodiment, the processor 10 obtains the respiratory characteristic information according to the second physiological signal, including: obtaining the respiratory characteristic information after performing at least signal acquisition, hardware filtering, signal amplification and analog-to-digital conversion on the second physiological signal.

[0191] Specifically, in one embodiment, the processor 10 adaptively filters the first physiological signal according to the respiratory characteristic information and the pulse characteristic information to obtain a filtered pulse wave signal, including:

[0192] The processor 10 compares the respiratory characteristic information with the pulse characteristic information and obtains a difference comparison result, adjusts the filter parameters and updates the filter according to the difference comparison result; and uses the updated filter to adaptively filter the first physiological signal to filter out the interference caused by breathing in the first physiological signal, thereby obtaining the filtered pulse wave signal.

[0193] Specifically, in one embodiment, the processor 10 automatically adjusts the filter parameters to update the filter according to the difference comparison result, including:

[0194] The processor 10 selects a corresponding filter to perform adaptive filtering according to the difference comparison result.

[0195] In this way, the pulse wave can be adaptively filtered according to the differences between different patients or the differences between patients at different stages. Different patients or patients at different stages of illness or hospitalization will always have some differences, such as differences in heart beat frequency, breathing frequency, etc., and these differences will affect the measurement results of the signal. Usually, fixed filter parameters are set, but fixed filter parameters cannot meet individual needs. Therefore, this solution hopes to improve the signal acquisition accuracy by adaptively adjusting the filter parameters by identifying the comparative relationship or difference relationship between the respiratory feature information and the aforementioned pulse feature information.

[0196] The difference comparison result mentioned in this article can be the comparison result between the waveform of the pulse wave and the respiratory waveform, or it can be the comparison result between the parameters used to characterize the morphological characteristics of the respiratory wave and the parameters used to characterize the morphological characteristics of the fluctuating rhythm wave. For example, in one embodiment, the aforementioned difference comparison result is obtained by at least one of the following: the ratio of the aforementioned respiratory characteristic information to the aforementioned pulse characteristic information, and the difference between the aforementioned respiratory characteristic information and the aforementioned pulse characteristic information. For another example, in one embodiment, the aforementioned difference comparison result is obtained by at least one of the following: the ratio of the respiratory rate to the pulse rate, and the difference between the respiratory rate and the pulse rate.

[0197] Secondly, in one embodiment, the processor 10 filters the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to remove the interference caused by respiration in the first physiological signal, and the process of obtaining the filtered pulse wave signal includes:

[0198] When the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information is close to the pulse rate value or pulse rate spectrum in the pulse characteristic information, the first physiological signal may be filtered using a default signal filtering method to obtain a filtered pulse wave signal; and,

[0199] When there is a recognizable difference between the respiratory rate value or respiratory rate spectrum in the respiratory characteristic information and the pulse rate value or pulse rate spectrum in the pulse characteristic information, the filtering parameters are adjusted according to the spectrum of the respiratory rate to filter the aforementioned first physiological signal, and the interference caused by breathing in the aforementioned first physiological signal is filtered out to obtain a filtered pulse wave signal.

[0200] The default signal filtering method mentioned in this embodiment may include a basic filtering method for the first physiological signal, for example, a signal filtering process before signal processing is performed on the first physiological signal.

[0201] Specifically, in one embodiment, the processor 10 selects a corresponding filter to perform adaptive filtering according to the difference comparison result, including:

[0202] When the processor 10 determines that the difference comparison result is greater than or equal to the first threshold, the processor 10 selects the first filter to filter the pulse characteristic information;

[0203] When the processor 10 determines that the difference comparison result is less than the first threshold and greater than or equal to the second threshold, the processor 10 selects the second filter to filter the pulse characteristic information;

[0204] When the processor 10 determines that the difference comparison result is less than the second threshold, the processor 10 selects a third filter to filter the pulse characteristic information;

[0205] The first filter, the second filter and the third filter adopt different filtering parameters.

[0206] Specifically, in one embodiment, the processor 10 obtains the difference comparison result according to at least one of the following:

[0207] The ratio of the aforementioned respiratory characteristic information to the aforementioned pulse characteristic information, and,

[0208] The difference between the aforementioned breathing characteristic information and the aforementioned pulse characteristic information.

[0209] Specifically, in one embodiment, the processor 10 identifies the pulse wave rhythm information according to the filtered pulse wave signal, including:

[0210] The processor 10 performs time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis on the filtered pulse wave signal to obtain the fluctuation rhythm information of the pulse wave.

[0211] Specifically, in one embodiment, the processor 10 identifies the pulse wave rhythm information according to the filtered pulse wave signal, which includes at least one of the following steps:

[0212] The processor 10 generates a pulse wave rhythm waveform according to the pulse wave signal; and,

[0213] The processor 10 identifies a rhythm quantification parameter representing the regularity of the rhythm of the signal fluctuation according to the pulse wave signal.

[0214] Specifically, in one embodiment, the processor 10 controls the display screen 30 to perform one of the following steps:

[0215] Displays the pulse wave's rhythmic waveform, and

[0216] Displays the rhythm quantification parameter that characterizes the degree of regularity of the signal fluctuation rhythm.

[0217] Specifically, in one of the embodiments, the rhythm quantification parameter regarding the degree of regularity of the signal fluctuation rhythm is obtained by identifying the waveform morphology feature information of the pulse wave.

[0218] Secondly, information output can also be performed for the irregular pulse wave signal. Therefore, in one embodiment of the present invention, the irregular pulse wave signal is obtained by time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis based on the aforementioned filtered pulse wave signal;

[0219] Extract irregular pulse wave signals over a period of time,

[0220] Based on the irregular pulse wave signal within a period of time, a fluctuating rhythm waveform of the pulse wave is generated, and / or a rhythm quantization parameter corresponding to the irregular pulse wave signal within a period of time is identified.

[0221] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0222] The processor 10 controls the display screen 30 to display the pulse wave rhythm waveform on the vital signs display interface or in a new window popped up on the vital signs display interface; or,

[0223] The processor 10 controls the display screen 30 to display the rhythm quantification parameters representing the regularity of the signal fluctuation rhythm, including:

[0224] The processor 10 controls the display screen 30 to display the rhythm quantification parameter representing the regularity of the signal fluctuation rhythm on the vital sign display interface or in a new window popped up on the vital sign display interface.

[0225] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse characteristic information and / or the breathing characteristic information; and, to display the fluctuation rhythm information of the pulse wave.

[0226] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm information, including:

[0227] The processor 10 generates and controls the display screen 30 to display prompt information according to the fluctuation rhythm information. The prompt information is a text prompt, a graphic prompt, or a combination of text and graphic prompts.

[0228] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0229] The processor 10 controls the display screen 30 to display the fluctuating rhythm waveform within a period of time, and the fluctuating rhythm information related to the fluctuating rhythm waveform within the period of time, including pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, pulse interval difference, pulse amplitude difference, pulse slope difference, pulse area difference, pulse interval mean, pulse interval difference mean, pulse amplitude mean, pulse slope mean, pulse area mean, pulse interval standard deviation, pulse amplitude standard deviation, pulse wave slope standard deviation, pulse area standard deviation, pulse width sum, pulse width ratio, pulse width difference, maximum pulse rate value, minimum pulse rate value, variability, variability times, and at least one of the thresholds corresponding to the variability and variability times respectively; or,

[0230] The processor 10 controls the display screen 30 to display the waveform of the fluctuating rhythm within a period of time.

[0231] Specifically, in one embodiment, the processor 10 controls the display screen 30 to pop up a selection window on the vital signs display interface for the user to input evaluation information on the pulse wave rhythm information.

[0232] Specifically, in one embodiment, when the processor 10 determines that the evaluation information indicates that the current pulse wave is irregular, it controls the display screen 30 to provide a function prompt area related to the next step of work, and the function prompt area includes at least one of printing a fluctuation rhythm waveform, making an ECG examination appointment, making an ultrasound examination appointment and other functions.

[0233] It is understandable that, in other embodiments, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0234] The processor 10 controls the display screen 30 to display the fluctuating rhythm waveform, irregular pulse rate prompt information and the next work related function prompt area within a period of time. The function prompt area includes at least one of printing the fluctuating rhythm waveform, scheduling ECG examination, scheduling ultrasound examination and other functions.

[0235] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display rhythm quantification parameters characterizing the degree of regularity of the signal fluctuation rhythm, including: pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, difference in pulse intervals, difference in pulse amplitude, difference in pulse slope, difference in pulse area, mean of pulse intervals, mean of pulse interval differences, mean of pulse amplitude, mean of pulse slope, mean of pulse area, standard deviation of pulse intervals, standard deviation of pulse amplitude, standard deviation of pulse wave slope, standard deviation of pulse area, standard deviation of pulse width, sum of pulse widths, ratio of pulse widths, difference in pulse widths, maximum pulse rate value, minimum pulse rate value, variability, number of variability, and at least one of the thresholds corresponding to the variability and number of variability, respectively.

[0236] Specifically, in one embodiment, the monitor 100 further includes an alarm unit 40, and the processor 10 further controls the alarm unit 40 to issue an audible and / or visual alarm based on the recognized pulse wave rhythm information.

[0237] Specifically, in one embodiment, the processor 10 further controls the warning unit 40 to make an audible and / or visual alarm based on the recognized pulse wave rhythm information, including:

[0238] The processor 10 identifies a rhythm quantification parameter representing the regularity of the signal fluctuation rhythm based on the filtered pulse wave signal, and controls the warning unit 40 to activate a sound and / or light alarm based on a comparison result between the rhythm quantification parameter and a preset threshold.

[0239] Thus, it is convenient for users to understand the patient's condition in time and provide timely treatment.

[0240] It can be understood that, in another embodiment, the at least one parameter measurement circuit 20 is respectively connected to an externally inserted sensor accessory through a corresponding sensor interface to collect a physiological signal of the subject to obtain a pulse wave signal. The processor 10 obtains pulse characteristic information according to the pulse wave signal, and obtains breathing characteristic information according to the pulse wave signal, and filters the pulse wave signal according to the relationship between the breathing characteristic information and the pulse characteristic information to filter out the interference caused by breathing in the physiological signal, obtain the filtered pulse wave signal, and identify the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal.

[0241] Therefore, in the present application, a physiological signal of the same subject is collected, and pulse characteristic information and respiratory characteristic information are obtained based on the physiological signal. Before identifying the fluctuation rhythm information of the pulse wave, the pulse wave signal is filtered based on the relationship between the aforementioned respiratory characteristic information and the aforementioned pulse characteristic information, and the interference caused by respiration in the physiological signal is filtered out to obtain a filtered pulse wave signal, and the influence of respiration on the pulse wave is filtered out to obtain more realistic pulse characteristic information, thereby improving the accuracy of irregular pulse rate recognition.

[0242] Specifically, in one embodiment, the processor 10 filters the pulse wave signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to remove the interference caused by respiration in the physiological signal to obtain the filtered pulse wave signal, including:

[0243] The processor 10 compares the respiratory characteristic information with the pulse characteristic information and obtains a difference comparison result, automatically adjusts the filter parameters to update the filter according to the difference comparison result; and uses the updated filter to adaptively filter the physiological signal to obtain the filtered pulse wave signal.

[0244] Specifically, in one embodiment, the processor 10 automatically adjusts the filter parameters to update the filter according to the difference comparison result, including:

[0245] The processor 10 selects a corresponding filter to perform adaptive filtering according to the difference comparison result.

[0246] Specifically, in one embodiment, the processor 10 selects a corresponding filter to perform adaptive filtering according to the difference comparison result, including:

[0247] When the processor 10 determines that the difference comparison result is greater than or equal to the first threshold, the processor 10 selects the first filter to filter the pulse characteristic information;

[0248] When the processor 10 determines that the difference comparison result is less than the first threshold and greater than or equal to the second threshold, the processor 10 selects a second filter to filter the pulse characteristic information, wherein the second threshold is less than the first threshold;

[0249] When the processor determines that the difference comparison result is less than the second threshold, the processor selects a third filter to filter the pulse characteristic information;

[0250] The first filter, the second filter and the third filter adopt different filtering parameters.

[0251] Specifically, in one embodiment, the processor 10 obtains the difference comparison result according to at least one of the following:

[0252] The ratio of the aforementioned respiratory characteristic information to the aforementioned pulse characteristic information, and,

[0253] The difference between the aforementioned breathing characteristic information and the aforementioned pulse characteristic information.

[0254] It can be understood that, in another embodiment, the processor 10 performs the adaptive filtering by selecting a corresponding filter according to the difference comparison result in the following manner:

[0255] The aforementioned display screen 30 is a touch display screen;

[0256] The aforementioned touch screen is used to obtain the user's selection instructions for the filter.

[0257] According to the aforementioned selection instruction, the aforementioned filter is determined,

[0258] The aforementioned filter is used to perform the aforementioned process of filtering the aforementioned physiological signal based on the relationship between the aforementioned breathing characteristic information and the aforementioned pulse characteristic information, so as to obtain the aforementioned filtered pulse wave signal.

[0259] Specifically, in one embodiment, the processor 10 performs the process of filtering the physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information by using the filter in the following manner:

[0260] Output and display the alternative information about the filter on the aforementioned touch display screen, the aforementioned alternative information includes at least two filters for the user to choose, different filters use different filtering parameters, wherein the filtering parameters of the aforementioned filters are related to a difference comparison result, and the aforementioned difference comparison result is the result of a difference comparison between the aforementioned respiratory characteristic information and the aforementioned pulse characteristic information.

[0261] Specifically, in one embodiment, the processor 10 identifies the pulse wave rhythm information according to the filtered pulse wave signal, including:

[0262] The processor 10 performs time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis on the pulse wave signal to obtain the fluctuation rhythm information of the pulse wave.

[0263] Specifically, in one embodiment, the processor 10 identifies the pulse wave rhythm information according to the filtered pulse wave signal, which includes at least one of the following steps:

[0264] The processor 10 generates a pulse wave rhythm waveform according to the pulse wave signal; and,

[0265] The processor 10 identifies a rhythm quantification parameter representing the regularity of the rhythm of the signal fluctuation according to the pulse wave signal.

[0266] Specifically, in one embodiment, the processor 10 controls the display screen 30 to perform one of the following steps:

[0267] Displays the pulse wave's fluctuation rhythm waveform and rhythm quantification parameters that characterize the degree of regularity of the signal's fluctuation rhythm.

[0268] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0269] The processor 10 controls the display screen 30 to display the pulse wave rhythm waveform on the vital signs display interface or in a new window popped up on the vital signs display interface; or,

[0270] The processor 10 controls the display screen 30 to display the rhythm quantification parameters representing the regularity of the signal fluctuation rhythm, including:

[0271] The processor 10 controls the display screen 30 to display the rhythm quantification parameter representing the regularity of the signal fluctuation rhythm on the vital sign display interface or in a new window popped up on the vital sign display interface.

[0272] Specifically, in one embodiment, the processor 10 controls the display screen 30:

[0273] displaying the aforementioned pulse characteristic information and / or the aforementioned breathing characteristic information; and,

[0274] Displays the fluctuation rhythm information of the aforementioned pulse wave.

[0275] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm information, including:

[0276] The processor 10 generates and controls the display screen 30 to display prompt information according to the fluctuation rhythm information. The prompt information is a text prompt, a graphic prompt, or a combination of text and graphic prompts.

[0277] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0278] The processor 10 controls the display screen 30 to display the fluctuating rhythm waveform within a period of time, and the fluctuating rhythm information related to the fluctuating rhythm waveform within the period of time, including pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, pulse interval difference, pulse amplitude difference, pulse slope difference, pulse area difference, pulse interval mean, pulse interval difference mean, pulse amplitude mean, pulse slope mean, pulse area mean, pulse interval standard deviation, pulse amplitude standard deviation, pulse wave slope standard deviation, pulse area standard deviation, pulse width sum, pulse width ratio, pulse width difference, maximum pulse rate value, minimum pulse rate value, variability, variability times, and at least one of the thresholds corresponding to the variability and variability times respectively; or,

[0279] The processor 10 controls the display screen 30 to display the waveform of the fluctuating rhythm within a period of time.

[0280] Specifically, in one embodiment, the processor 10 controls the display screen 30 to pop up a selection window on the vital signs display interface for the user to input evaluation information on the pulse wave rhythm information.

[0281] Specifically, in one embodiment, when the processor 10 determines that the evaluation information indicates that the current pulse wave is irregular, the processor 10 controls the display screen 30 to provide a function prompt area related to the next step of work, and the function prompt area includes at least one of printing a fluctuation rhythm waveform, making an ECG examination appointment, making an ultrasound examination appointment and other functions.

[0282] It is understandable that, in other embodiments, the processor 10 controls the display screen 30 to display the pulse wave rhythm waveform, including:

[0283] The processor 10 controls the display screen 30 to display the fluctuating rhythm waveform, irregular pulse rate prompt information and the next work related function prompt area within a period of time. The function prompt area includes at least one of printing the fluctuating rhythm waveform, scheduling ECG examination, scheduling ultrasound examination and other functions.

[0284] Specifically, in one embodiment, the processor 10 controls the display screen 30 to display rhythm quantification parameters characterizing the degree of regularity of the signal fluctuation rhythm, including: pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, difference in pulse intervals, difference in pulse amplitude, difference in pulse slope, difference in pulse area, mean of pulse intervals, mean of pulse interval differences, mean of pulse amplitude, mean of pulse slope, mean of pulse area, standard deviation of pulse intervals, standard deviation of pulse amplitude, standard deviation of pulse wave slope, standard deviation of pulse area, standard deviation of pulse width, sum of pulse widths, ratio of pulse widths, difference in pulse widths, maximum pulse rate value, minimum pulse rate value, variability, number of variability, and at least one of the thresholds corresponding to the variability and number of variability, respectively.

[0285] Specifically, in one embodiment, the monitor 100 further includes an alarm unit 40, and the processor 10 further controls the alarm unit 40 to issue an audible and / or visual alarm based on the recognized pulse wave rhythm information.

[0286] Specifically, in one embodiment, the processor 10 further controls the warning unit 40 to make an audible and / or visual alarm based on the recognized pulse wave rhythm information, including:

[0287] The processor 10 identifies a rhythm quantification parameter representing the regularity of the signal fluctuation rhythm based on the filtered pulse wave signal, and controls the warning unit 40 to activate a sound and / or light alarm based on a comparison result between the rhythm quantification parameter and a preset threshold.

[0288] Thus, it is convenient for users to understand the patient's condition in time and provide timely treatment.

[0289] For the definition, identification or acquisition method, output mode, display scheme and signal processing process of the pulse wave fluctuation rhythm information, please refer to the relevant descriptions in the aforementioned embodiments, which will not be repeated here.

[0290] It should be noted that the method disclosed in the above embodiment can be implemented by the processor 10. The processor 10 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 10. Among them, the above processor 10 can be a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a ready-made programmable gate array or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The processor 10 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present invention. The processor 10 can be an image processor, a microprocessor, or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, for example, the processor 10 can read the application, computer instructions or data in the memory, and complete the steps of the above method executed by the user terminal in combination with its hardware.

[0291] In the embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0292] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and embodiments of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific embodiments and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for identifying an irregular pulse rate, characterized in that: Includes steps: Collecting a first physiological signal of the subject, wherein the first physiological signal at least contains pulse information; collecting a second physiological signal from the same subject, wherein the second physiological signal at least contains breathing information; Obtaining pulse characteristic information according to the first physiological signal; obtaining respiratory characteristic information according to the second physiological signal; According to the relationship between the breathing characteristic information and the pulse characteristic information, the first physiological signal is filtered to remove the interference caused by breathing in the first physiological signal, and a filtered pulse wave signal is obtained; According to the filtered pulse wave signal, the fluctuation rhythm information of the pulse wave is identified.

2. The irregular pulse rate identification method according to claim 1, characterized in that: The filtering of the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to remove interference caused by respiration in the first physiological signal to obtain a filtered pulse wave signal includes: When the spectrum of the respiratory rate in the respiratory characteristic information is close to the spectrum of the pulse rate in the pulse characteristic information, the first physiological signal is filtered using a default signal filtering method to obtain a filtered pulse wave signal; and, When there is a recognizable difference between the spectrum of the respiratory rate in the respiratory characteristic information and the spectrum of the pulse rate in the pulse characteristic information, the first physiological signal is filtered by adjusting the filtering parameters according to the spectrum of the respiratory rate to filter out interference caused by breathing in the first physiological signal and obtain a filtered pulse wave signal.

3. The irregular pulse rate identification method according to claim 1, characterized in that: The filtering of the first physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to remove interference caused by respiration in the first physiological signal to obtain a filtered pulse wave signal includes: Comparing the respiratory characteristic information with the pulse characteristic information and obtaining a difference comparison result; Automatically adjusting filter parameters to update the filter according to the difference comparison result; and The first physiological signal is adaptively filtered using the updated filter to filter out interference caused by breathing in the first physiological signal, thereby obtaining the filtered pulse wave signal.

4. The irregular pulse rate identification method according to claim 3, characterized in that: The automatically adjusting the filter parameters and updating the filter according to the difference comparison result comprises: A corresponding filter is selected according to the difference comparison result to perform adaptive filtering.

5. The irregular pulse rate identification method according to claim 4, characterized in that: The difference comparison result is obtained by using at least one of the following: The ratio of the respiratory characteristic information to the pulse characteristic information, and, The difference between the breathing characteristic information and the pulse characteristic information.

6. The irregular pulse rate identification method according to claim 1, characterized in that: The step of identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal comprises: The pulse wave signal is subjected to time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis to obtain the fluctuation rhythm information of the pulse wave.

7. The irregular pulse rate identification method according to claim 1, characterized in that: The step of identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal comprises: identifying an irregular pulse wave signal based on the filtered pulse wave signal; Extract irregular pulse wave signals over a period of time, and, Based on the irregular pulse wave signal over a period of time, the fluctuation rhythm information of the pulse wave is output.

8. The irregular pulse rate identification method according to claim 1, characterized in that: The step of identifying the pulse wave fluctuation rhythm information based on the filtered pulse wave signal comprises at least one of the following steps: generating a pulse wave rhythm waveform according to the pulse wave signal; and, Based on the pulse wave signal, a rhythm quantification parameter characterizing the regularity of the rhythm of the signal fluctuation is identified.

9. The irregular pulse rate identification method according to claim 8, characterized in that: The method further outputs and displays the fluctuation rhythm information by at least one of the following steps: Displaying the pulse wave rhythm waveform on the vital signs display interface or in a new window popped up on the vital signs display interface; and, The rhythm quantification parameter representing the degree of regularity of the signal fluctuation rhythm is displayed on the vital sign display interface or in a new window popped up on the vital sign display interface.

10. The irregular pulse rate identification method according to claim 8, characterized in that: The method further comprises: Prompt information is generated and displayed according to the fluctuation rhythm information of the pulse wave, and the prompt information is a text prompt, a graphic prompt, or a combination of text and graphic prompts.

11. The irregular pulse rate identification method according to claim 9, characterized in that: The pulse wave waveform includes: Displaying the fluctuating rhythm waveform within a period of time, and the rhythm quantification parameters related to the fluctuating rhythm waveform within the period of time; or, Displays the waveform of fluctuating rhythm over a period of time.

12. The irregular pulse rate identification method according to claim 8, characterized in that: The method further comprises: A selection window pops up for the user to input the evaluation result of whether the pulse wave is irregular.

13. The irregular pulse rate identification method according to claim 12, characterized in that: When the evaluation result indicates that the current pulse wave is irregular, the method further includes: A function prompt area related to the next step of work is provided, and the function prompt area includes at least one of printing fluctuation rhythm waveform, booking ECG examination, booking ultrasound examination and other functions.

14. The irregular pulse rate identification method according to claim 9, characterized in that: The pulse wave waveform includes: Displays the fluctuating rhythm waveform, irregular pulse rate prompt information and the next work related function prompt area within a period of time, and the function prompt area includes at least one of printing the fluctuating rhythm waveform, booking ECG examination, booking ultrasound examination and other functions.

15. The irregular pulse rate identification method according to claim 9, characterized in that: The rhythm quantification parameters that display the degree of regularity of the signal fluctuation rhythm include: pulse interval, pulse amplitude, pulse slope, pulse width, pulse area, difference in pulse intervals, difference in pulse amplitude, difference in pulse slope, difference in pulse area, mean of pulse intervals, mean of pulse interval differences, mean of pulse amplitude, mean of pulse slope, mean of pulse area, standard deviation of pulse intervals, standard deviation of pulse amplitude, standard deviation of pulse wave slope, standard deviation of pulse area, standard deviation of pulse width, sum of pulse widths, ratio of pulse widths, difference in pulse widths, maximum pulse rate value, minimum pulse rate value, variability, number of variability, and at least one of the threshold values ​​corresponding to the variability and number of variability, respectively.

16. The irregular pulse rate identification method according to claim 1, characterized in that: The method further comprises: Sound and / or light alarms are issued based on the recognized pulse wave rhythm information.

17. The irregular pulse rate identification method according to claim 16, characterized in that: The method of performing sound and / or light alarm based on the recognized pulse wave rhythm information includes: Based on the filtered pulse wave signal, a rhythm quantization parameter characterizing the degree of regularity of the signal fluctuation rhythm is identified, and, Based on the comparison result of the rhythm quantification parameter with the preset threshold, an audible and / or visual alarm is activated.

18. A method for identifying an irregular pulse rate, characterized in that: The following steps are involved: Collect one physiological signal of the subject to obtain the pulse wave signal; Obtaining pulse characteristic information according to the pulse wave signal; Obtaining respiratory characteristic information according to the pulse wave signal; According to the relationship between the breathing characteristic information and the pulse characteristic information, the pulse wave signal is filtered to remove the interference caused by breathing in the physiological signal, and a filtered pulse wave signal is obtained; According to the filtered pulse wave signal, the fluctuation rhythm information of the pulse wave is identified.

19. The irregular pulse rate identification method according to claim 18, characterized in that: The filtering of the pulse wave signal according to the relationship between the breathing characteristic information and the pulse characteristic information to remove the interference caused by breathing in the physiological signal to obtain the filtered pulse wave signal includes: Comparing the breathing characteristic information with the pulse characteristic information and obtaining a difference comparison result; Automatically adjusting filter parameters to update the filter according to the difference comparison result; and The updated filter is used to adaptively filter the physiological signal to obtain the filtered pulse wave signal.

20. The irregular pulse rate identification method according to claim 19, characterized in that: The automatically adjusting the filter parameters and updating the filter according to the difference comparison result comprises: A corresponding filter is selected according to the difference comparison result to perform adaptive filtering.

21. The irregular pulse rate identification method according to claim 18, characterized in that: The step of identifying the fluctuation rhythm information of the pulse wave according to the filtered pulse wave signal comprises: The pulse wave signal is subjected to time domain analysis, frequency domain analysis, machine analysis and / or nonlinear dynamics analysis to obtain the fluctuation rhythm information of the pulse wave.

22. The irregular pulse rate identification method according to claim 18, characterized in that: The method further outputs and displays the fluctuation rhythm information by at least one of the following steps: The output shows the pulse wave's rhythmic waveform, and The output displays rhythm quantification parameters that characterize the degree of rhythmic regularity of the signal fluctuations.

23. The irregular pulse rate identification method according to claim 22, characterized in that: The output shows the pulse wave's fluctuating rhythm waveform, including: Displaying the pulse wave rhythm waveform on the vital signs display interface or in a new window that pops up on the vital signs display interface; or, The rhythm quantification parameters showing the regularity of the rhythm of the signal fluctuation include: The rhythm quantification parameter representing the degree of regularity of the signal fluctuation rhythm is displayed on the vital sign display interface or in a new window popped up on the vital sign display interface.

24. The irregular pulse rate identification method according to claim 18, characterized in that: The method further comprises: Sound and / or light alarms are issued based on the recognized pulse wave rhythm information.

25. A method for identifying an irregular pulse rate, characterized in that: Includes steps: Collecting physiological signals of the subject, wherein the physiological signals at least contain pulse information and breathing information; Obtaining pulse characteristic information according to the physiological signal; Obtaining respiratory characteristic information according to the physiological signal; Outputting and displaying the pulse characteristic information and the breathing characteristic information; Determine a filter preset by a user, use the filter to filter the physiological signal, filter out interference caused by breathing in the physiological signal, and obtain a filtered pulse wave signal; According to the filtered pulse wave signal, the fluctuation rhythm information of the pulse wave is identified.

26. The irregular pulse rate identification method according to claim 25, characterized in that: The method further comprises: A setting window is provided, in which at least two filters are displayed for user selection, and different filters use different filtering parameters.

27. The irregular pulse rate identification method according to claim 25, characterized in that: The filter parameter of the filter is related to a difference comparison result, and the difference comparison result is a result of a difference comparison between the respiratory characteristic information and the pulse characteristic information.

28. A monitor, characterized in that: include: At least one parameter measurement circuit, wherein the at least one parameter measurement circuit is connected to an externally inserted sensor accessory through a corresponding sensor interface to collect physiological signals of the subject, wherein the physiological signals at least include a pulse wave signal and a breathing signal; A display screen, used to display relevant information of the physiological signal, memory for storing data and computer programs, and, A processor, wherein when the processor executes a computer program, the following process is implemented: Obtain pulse characteristic information and breathing characteristic information according to the physiological signal, outputting the pulse characteristic information and the breathing characteristic information to the display screen, According to the relationship between the respiratory characteristic information and the pulse characteristic information, the physiological signal is filtered to remove the interference caused by breathing in the physiological signal to obtain a filtered pulse wave signal, and, According to the filtered pulse wave signal, identifying the fluctuation rhythm information of the pulse wave; The fluctuation rhythm information is output.

29. The patient monitor according to claim 28, characterized in that: The processor performs filtering on the physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information, filtering out interference caused by respiration in the physiological signal, and obtaining a filtered pulse wave signal in the following manner: The processor compares the respiratory characteristic information with the pulse characteristic information and obtains a difference comparison result, and automatically adjusts the filter parameters to update the filter according to the difference comparison result; and using the updated filter to adaptively filter the physiological signal to remove the interference caused by breathing in the physiological signal, thereby obtaining the filtered pulse wave signal.

30. The patient monitor according to claim 29, characterized in that: The processor automatically adjusts the filter parameters and updates the filter according to the difference comparison result, including: Selecting a corresponding filter to perform adaptive filtering according to the difference comparison result; The processor performs the step of selecting a corresponding filter according to the difference comparison result to perform adaptive filtering in the following manner: The display screen is a touch display screen; Using the touch screen to obtain the user's selection instruction on the filter, According to the selection instruction, determining the filter, The filter is used to perform the process of filtering the physiological signal according to the relationship between the respiratory characteristic information and the pulse characteristic information to obtain the filtered pulse wave signal.

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