A heart-breath consistency assessment method, storage medium and heart-breath index monitoring device

Abstract

The present invention relates to the field of health and wellness technology, and in particular to a heart-breath consistency evaluation method, a storage medium, and a heart-breath index monitoring device. A heart-breath consistency evaluation method comprises the following steps: obtaining heart rate and breathing data; calculating the amplitude spectrum and phase of each of the heart rate and breathing data, and using the respective phases to calculate the phase difference between the heart rate and breathing; linearly adjusting the breathing amplitude spectrum; calculating the coupling part of the heart rate amplitude spectrum and the adjusted breathing amplitude spectrum and correcting the part by the phase difference; calculating the heart-breath consistency index value based on the corrected coupling part. The consistency index provided by the present invention can better measure the harmony of heart-lung coupling, more meticulously reflect the coupling state of the heart-lung, and thus better reflect the physiological state of the human body.

Description

[Technical field]

[0001] The present invention relates to the field of health and wellness technology, and in particular to a heart-breath consistency assessment method, a storage medium, and a heart-breath index monitoring device. [Background technology]

[0002] Heart rate is a physiological indicator that is increasingly being used, and analysis of its related information can monitor human physiological functions. Many health bracelets on the market analyze human health status based on heart rate analysis, with the analysis of indicators in the time and frequency domains of heart rate being the main focus. The HeartMath Institute in the United States has built an indicator of human heart-brain consistency based on heart rate sequence information and applied it to its device Inner-Balance (included in the reimbursement scope of many commercial medical insurance companies in the United States). These indicators only take into account the single physiological data of heart rate. However, the human body is a complex multi-subsystem strongly coupled system. Breathing is one of the most important physiological indicators that reflect human physical signs. The circulatory system and the respiratory system are tightly coupled. Heart rate, breathing and pressure reflectors in blood vessels (with direct channels to the amygdala, the emotional control center) form a tightly coupled feedback loop, so psychological activities such as heart rate, breathing and emotions are closely related.

[0003] Therefore, in order to obtain more accurate and rich state information of the human body, it is necessary to further combine the respiratory waveform data and consider the synchronous relationship between respiration and heart rate. Some research works in the existing literature have used respiratory indicators in the frequency domain analysis of heart rate. MTV Yamuza et al. used the coherence coefficient of respiration and heart rate in the frequency domain to redefine the high-frequency band in the traditional sense to better distinguish different emotional states; R. Bailón et al. proposed a new time-varying analysis method for HRV in exercise stress test, which includes information on respiratory frequency, which can reduce the average error and standard deviation of high-frequency component estimation in exercise state; M. Daoud et al. used the coherence of respiration and heart rate to perform weighted averaging on the frequency, and redefined the boundary between low-frequency band and high-frequency band to make it more consistent with the high-low power boundary of the heart rate power spectrum, which can better distinguish the two postures of supine and upright in the classic upright test.

[0004] All of the above technologies utilize breathing information, but they are only used in specific states, especially for defining the high and low frequency areas of the heart rate. They can only reflect the rough cardiopulmonary coupling state, and cannot reflect and measure the degree of cardiopulmonary coupling and the consistency of the heart, breath and mind in a variety of scenarios. Moreover, these technologies do not take into account the phase relationship between heart rate and breathing. The heart rate frequency mediated by breathing (respiratory sinus arrhythmia, referred to as RAS) has an important influence on the efficiency of gas exchange in the alveoli, and the phase difference between breathing and heart rate corresponds to the efficiency of gas exchange. Therefore, the phase difference between breathing and heart rate contains more information about the consistency of the human body. The above existing technologies cannot fully characterize the degree of cardiopulmonary coupling, thereby reflecting the physiological state of the human body. [Summary of the invention]

[0005] In order to solve the problem that the prior art cannot fully reflect the degree of cardiopulmonary coupling, the present invention provides a heart-breath consistency assessment method, a storage medium and a heart-breath index monitoring device.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for evaluating heart-breath consistency, comprising the following steps:

[0007] Get heart rate and breathing data;

[0008] Calculate the amplitude spectrum and phase of the heart rate and respiration data, and use the phases to calculate the phase difference between the heart rate and respiration;

[0009] Linear scaling of the respiratory amplitude spectrum;

[0010] Calculating the coupled part of the heart rate amplitude spectrum and the adjusted breathing amplitude spectrum and correcting the part by phase difference;

[0011] The heart-breath consistency index value is calculated based on the corrected coupling part.

[0012] Preferably, the heart rate and respiration data are acquired synchronously.

[0013] Preferably, the amplitude spectra are calculated for the heart rate and respiration data respectively, and the phase difference is calculated as follows:

[0014] The acquired heart rate and respiration data are grouped and processed according to time;

[0015] For each group, the amplitude spectrum and phase are obtained by Fourier transform;

[0016] The phase difference is then obtained by calculating the difference between the heart rate and breathing phases.

[0017] Preferably, the linear scale adjustment of the respiratory amplitude spectrum is specifically performed as follows:

[0018] Find the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum, then find the frequency corresponding to the peak amplitude in the heart rate amplitude spectrum near this frequency, and record the heart rate amplitude and respiratory amplitude corresponding to each peak frequency;

[0019] The proportionality coefficient is calculated using the heart rate amplitude and the respiratory amplitude corresponding to the peak frequency;

[0020] The proportional coefficient is then used to linearly scale the respiratory amplitude spectrum.

[0021] Preferably, the adjusted respiratory amplitude spectrum is:

[0022]

[0023] in

[0024]

[0025] where d b (f) represents the amplitude corresponding to any frequency f in the respiratory amplitude spectrum before adjustment, d h (f) represents the amplitude corresponding to any frequency f of the heart rate amplitude spectrum, and k is the proportional coefficient; is the frequency corresponding to the peak amplitude in the heart rate amplitude spectrum, is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude, is the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum, is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude.

[0026] Preferably, setting S p is the coupled part of the heart rate amplitude spectrum and the adjusted respiratory amplitude spectrum, and the phase difference is used to calculate S p The correction formula is:

[0027]

[0028] Where θ(f) represents the phase difference, f∈[x, y] represents the frequency range of the respiratory amplitude spectrum, where

[0029]

[0030]

[0031] Preferably, before calculating the heart-breath consistency index value, the total power of the heart rate is also calculated within the frequency range of the heart rate amplitude spectrum:

[0032]

[0033] Where f∈[p,q] represents the frequency range of the heart rate amplitude spectrum, and dh(f) represents the amplitude of the heart rate amplitude spectrum at any frequency f.

[0034] Preferably, the formula for calculating the heart-breath consistency index value is:

[0035]

[0036] In order to solve the above technical problem, the present invention provides another technical solution as follows: a computer storage medium stores a computer program, and when the computer program is executed, the steps of the above-mentioned method for evaluating heart-breath consistency are implemented.

[0037] In order to solve the above technical problems, the present invention provides another technical solution as follows: a heart and breath index monitoring device, the heart and breath index monitoring device has a collection unit for collecting heart rate data and breathing data, and a processing unit for processing heart rate data and breathing data connected to the collection unit signal;

[0038] When processing the heart rate data and the breathing data, the processing unit adopts the steps of the aforementioned heart-breath consistency assessment method to calculate and obtain the heart-breath consistency index value.

[0039] Compared with the prior art, the heart-breath consistency assessment method, storage medium and heart-breath index monitoring device provided by the present invention have the following beneficial effects:

[0040] 1. A heart-breath consistency assessment method provided in an embodiment of the present invention processes heart rate and breathing data, uses the frequency of breathing to extract the relevant heart rate power spectrum part, and calculates the concentration and amplitude of its power spectrum to reflect the resonance degree (consistency degree) of the heart driven by breathing; on the other hand, the phase difference between heart rate and breathing is used to correct the frequency domain information of the two at the same time, so that the frequency domain information with a smaller phase difference occupies a larger weight, thereby reflecting the synchronization of heart rate and breathing to measure the efficiency of gas exchange in the body. Combining the above methods, the heart-breath consistency index proposed in the present invention can better measure the harmony of cardiopulmonary coupling and more finely reflect the coupling state of heart and breath.

[0041] 2. A heart-breath consistency assessment method provided by an embodiment of the present invention acquires heart rate and breathing data synchronously, and synchronously collects heart rate and breathing data of the same object, so as to facilitate subsequent better assessment of the physical physiological state of the current collected object.

[0042] 3. A heart-breath consistency assessment method provided in an embodiment of the present invention adjusts the respiratory amplitude through a proportional coefficient so that the respiratory amplitude spectrum can cover at least part of the heart rate amplitude spectrum, that is, overlap, thereby reflecting the degree of resonance of the heart rate driven by breathing, or the degree of consistency.

[0043] 4. A heart-breath consistency assessment method provided in an embodiment of the present invention utilizes the phase difference between heart rate and respiration for correction, so that information with a smaller phase difference occupies a greater weight, thereby reflecting the synchronization of heart rate and respiration to measure the efficiency of gas exchange in the body.

[0044] 5. The embodiment of the present invention also provides a computer storage medium, which has the same beneficial effects as the above-mentioned heart-breath consistency assessment method, and will not be described in detail here.

[0045] 6. The embodiment of the present invention also provides a heart and breath index monitoring device, which has the same beneficial effects as the above-mentioned heart and breath consistency assessment method, and will not be described in detail here.

Brief Description of the Drawings

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0047] Figure 1 4 is a flowchart of the steps of the heart-breath consistency assessment method provided in the first embodiment of the present invention.

[0048] Figure 2 4 is a flowchart of step S2 of the heart-breath consistency assessment method provided in the first embodiment of the present invention.

[0049] Figure 3 4 is a flowchart of step S3 of the heart-breath consistency assessment method provided in the first embodiment of the present invention.

[0050] Figure 4 It is an example diagram of the heart rate amplitude spectrum and the breathing amplitude spectrum of the heart-breath consistency assessment method provided in the first embodiment of the present invention.

[0051] Figure 5 4 is a block diagram of a heart and breath index monitoring device provided in a third embodiment of the present invention.

[0052] Description of the accompanying drawings:

[0053] 1. Heart and breath index monitoring equipment;

[0054] 10. Collection unit; 20. Processing unit. [Specific implementation method]

[0055] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0056] See also Figure 1 The first embodiment of the present invention provides a method for evaluating heart-breath consistency, comprising the following steps:

[0057] S1: obtain heart rate and breathing data;

[0058] S2: Calculate the amplitude spectrum and phase of the heart rate and respiration data, and use the respective phases to calculate the phase difference between the heart rate and respiration;

[0059] S3: Linear scaling using the respiratory amplitude spectrum;

[0060] S4: calculating the coupled part of the heart rate amplitude spectrum and the adjusted breathing amplitude spectrum and correcting the coupled part by using the phase difference;

[0061] S5: Calculate the heart-breath consistency index value based on the corrected coupling part.

[0062] Specifically, the respiratory data can be respiratory waveform data, such as measuring the volume of the chest or abdominal cavity as it changes with breathing through a respiratory belt; the heart rate and respiratory data are acquired synchronously, and the heart rate and respiratory data of the same object are acquired synchronously to facilitate subsequent better evaluation of the physical physiological state of the current object being collected.

[0063] See also Figure 2 Specifically, in step S2, "calculating the amplitude spectrum of the heart rate and respiration data respectively, and calculating the phase difference" is specifically:

[0064] S21: grouping and processing the acquired heart rate and respiration data according to time;

[0065] S22: For each group, use Fourier transform to obtain their respective amplitude spectrum and phase;

[0066] S23: Calculate the difference between the heart rate and the breathing phase to obtain the phase difference.

[0067] First, the heart rate and breathing data are obtained by time, or the obtained heart rate and breathing data are segmented by time, where the segment length is ≥ 20 seconds; the length of time for obtaining the heart rate and breathing data can be determined according to the actual behavior activities. For example, in one embodiment, a certain scene is measured for 5 minutes, then we generally select 60 seconds as a segment, and continuously calculate the heart and breath index in this process, so that we can observe how the heart and breath index changes with the scene in the whole process, such as with the rhythm of music, and we can also take the average value to characterize the whole process; and for a long scene like sleep, because the change is not so fast, we can take 300 seconds as a segment to calculate the heart and breath index, and finally calculate the average value. That is, when calculating, a sequence of heart and breath index values ​​can be obtained, that is, the changes in the consistency of heart, breath and intention in the whole process can be reflected, and the average value can also be used to characterize the heart-breath consistency and harmony state of the human body object in the current scene, so as to provide reasonable guidance and suggestions for the subsequent behavior of this object based on the heart and breath index value.

[0068] For the obtained amplitude spectrum and phase, the heart rate amplitude and respiratory amplitude at any frequency f are recorded as d h (f) and d b (f), where their respective phases are denoted by θ h (f), θ b (f), and then calculate the difference between the two

[0069]

[0070] Last pair The phase difference between heart rate and respiration is obtained by processing, denoted as θ(f):

[0071]

[0072] Please combine Figure 3 and Figure 4 Step S3 "linearly scale the respiratory amplitude spectrum" is specifically as follows:

[0073] S31: Find the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum, then find the frequency corresponding to the peak amplitude of the heart rate amplitude spectrum near this frequency, and record the heart rate amplitude and respiratory amplitude corresponding to each peak frequency

[0074] S32: Calculate the proportionality coefficient using the heart rate amplitude and the breathing amplitude corresponding to the peak frequency;

[0075] S33: Then use the proportional coefficient to linearly adjust the scale of the respiratory amplitude spectrum.

[0076] like Figure 4The heart rate amplitude spectrum and breathing amplitude spectrum are shown in the example. First, find the frequency corresponding to the amplitude peak in the breathing amplitude spectrum and record it as Again Find the frequency corresponding to the amplitude peak in the heart rate amplitude spectrum within the nearby range and record it as The heart rate amplitude and breathing amplitude corresponding to each peak frequency are recorded to calculate the scale adjustment coefficient, which is recorded as k. Then:

[0077]

[0078] Where db(f) represents the amplitude corresponding to frequency f in the respiratory amplitude spectrum before adjustment, and k is the proportional coefficient; is the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum; In the heart rate amplitude spectrum The frequency corresponding to the peak amplitude in the vicinity; dh(f) represents the amplitude corresponding to the frequency f of the heart rate amplitude spectrum. is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude, is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude.

[0079] If the difference between the frequency corresponding to the peak of the heart rate amplitude spectrum and the frequency corresponding to the peak of the respiratory amplitude spectrum is small enough (in practical applications, the maximum difference is usually 0.05 Hz), then the one with the largest ratio of the heart rate amplitude and the respiratory amplitude corresponding to the two frequencies will be taken as the scale adjustment coefficient. If the difference between the two frequencies is too large, the ratio of the heart rate amplitude and the respiratory amplitude at the frequency corresponding to the peak of the respiratory amplitude will be directly used as the scale coefficient.

[0080] Then the respiratory amplitude spectrum is adjusted according to this proportional coefficient, and the adjusted respiratory amplitude spectrum is obtained as follows:

[0081]

[0082] It can be understood that after adjusting the respiratory amplitude through the proportional coefficient, the respiratory amplitude spectrum can cover at least part of the heart rate amplitude spectrum, that is, overlap, thereby reflecting the resonance degree of the heart rate driven by breathing, or the consistency degree.

[0083] After adjusting the respiratory amplitude spectrum, calculate the coupling part of the respiratory amplitude spectrum and the heart rate amplitude spectrum, and set S p is the coupled part of the heart rate amplitude spectrum and the adjusted respiratory amplitude spectrum, and the phase difference is used to calculate S pThe correction formula is:

[0084]

[0085] Where θ(f) represents the phase difference, f∈[x,y] represents the frequency range of the respiratory amplitude spectrum. In a specific embodiment, [x,y]=[0.04, 0.4] is usually taken, where l=1 or 2,

[0086]

[0087]

[0088] Understandably, when calibrating, l is 1 or 2, which are two calculation methods. When evaluating the heart-breath consistency index of the same subject in various scenarios, one of the calculation methods is usually used for calculation, which makes it easier to compare the heart-breath consistency of the human body in different scenarios.

[0089] The phase difference between heart rate and respiration is used for correction so that information with a smaller phase difference has a greater weight, thereby reflecting the synchronization of heart rate and respiration to measure the efficiency of gas exchange in the body.

[0090] Then the total power of the heart rate is calculated within the frequency range of the heart rate amplitude spectrum:

[0091]

[0092] Where f∈[p,q] represents the frequency range of the heart rate amplitude spectrum. In a specific embodiment, [p,q]=[0.0033, 0.4] is usually taken. h (f) represents the amplitude of the heart rate amplitude spectrum at any frequency f.

[0093] Finally, the formula for calculating the heart-breath consistency index value is:

[0094]

[0095] By making full use of the information of the time series signal of synchronous sampling of breathing and heart rate, it can better characterize the harmonious degree of cardiopulmonary coupling and measure the consistency of human heart and breath, and realize the effective evaluation of human physiological state. The real human body measurement practice confirms the rationality and effectiveness of the heart and breath index, which can reflect the harmonious state of human heart and breath in various scenarios. For example, the depth of relaxation and falling asleep during sleep, listening to different music and sounds, smelling different smells, looking at positive / negative pictures, brain thinking and calculation process, positive or negative emotional state, and using different breathing methods and frequencies for HRV biofeedback training. The heart and breath consistency index value can give more reasonable breathing frequency and method guidance than the previous indicators, and verify the effect of the breathing method of traditional medical theory in a measurable and quantifiable way. These multi-scenario tests all reflect that the heart-breath interdependence index provides a reasonable measure of the consistency of human heart-breath-mind.

[0096] For example, when a person listens to two different kinds of music, by calculating the heart-breath consistency index value when listening to different music, the larger the value, the better the person's heart-breath consistency and the better the physiological state. By measuring and calculating the person's heart-breath consistency index value in different scenarios, it can be judged by comparison in which environment the person's heart-breath consistency is better, thereby giving people reasonable guidance and suggestions, which has great potential application prospects in the field of health and wellness.

[0097] The second embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the computer program is executed, the steps of the heart-breath consistency assessment method described in the first embodiment are implemented.

[0098] See also Figure 5 The third embodiment of the present invention further provides a heart-breath index monitoring device 1, which has a collection unit 10 for collecting heart rate data and respiratory data, and a processing unit 20 for processing heart rate data and respiratory data, which is signal-connected to the collection unit; when processing the heart rate data and respiratory data, the processing unit 20 uses the steps of a heart-breath consistency evaluation method as described in the first embodiment to calculate and obtain a heart-breath consistency index value.

[0099] The heart-breath index monitoring device 1 can be manually controlled to execute corresponding instructions to obtain the user's heart rate data and breathing data, and use them to calculate the user's heart-breath consistency index value, which is then fed back to the user to enable the user to understand his or her current physiological state.

[0100] In the embodiments provided by the present invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0101] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0102] In various embodiments of the present invention, it should be understood that the size of the serial numbers of the above-mentioned processes does not mean the necessary order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0103] The flow chart and block diagram in the accompanying drawings of the present invention illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which is determined based on the functions involved. It should be particularly noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs a specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0104] Compared with the prior art, the heart-breath consistency assessment method, storage medium and heart-breath index monitoring device provided by the present invention have the following beneficial effects:

[0105] 1. A heart-breath consistency assessment method provided in an embodiment of the present invention processes heart rate and breathing data, uses the frequency of breathing to extract the relevant heart rate power spectrum part, and calculates the concentration and amplitude of its power spectrum to reflect the resonance degree (consistency degree) of the heart driven by breathing; on the other hand, the phase difference between heart rate and breathing is used to correct the frequency domain information of the two at the same time, so that the frequency domain information with a smaller phase difference occupies a larger weight, thereby reflecting the synchronization of heart rate and breathing to measure the efficiency of gas exchange in the body. Combining the above methods, the heart-breath consistency index proposed in the present invention can better measure the harmony of cardiopulmonary coupling and more finely reflect the coupling state of heart and breath.

[0106] 2. A heart-breath consistency assessment method provided by an embodiment of the present invention acquires heart rate and breathing data synchronously, and synchronously collects heart rate and breathing data of the same object, so as to facilitate subsequent better assessment of the physical physiological state of the current collected object.

[0107] 3. A heart-breath consistency assessment method provided in an embodiment of the present invention adjusts the respiratory amplitude through a proportional coefficient so that the respiratory amplitude spectrum can cover at least part of the heart rate amplitude spectrum, that is, overlap, thereby reflecting the degree of resonance of the heart rate driven by breathing, or the degree of consistency.

[0108] 4. A heart-breath consistency assessment method provided in an embodiment of the present invention utilizes the phase difference between heart rate and respiration for correction, so that information with a smaller phase difference occupies a greater weight, thereby reflecting the synchronization of heart rate and respiration to measure the efficiency of gas exchange in the body.

[0109] 5. The embodiment of the present invention also provides a computer storage medium, which has the same beneficial effects as the above-mentioned heart-breath consistency assessment method, and will not be described in detail here.

[0110] 6. The embodiment of the present invention also provides a heart and breath index monitoring device, which has the same beneficial effects as the above-mentioned heart and breath consistency assessment method, and will not be described in detail here.

[0111] The above is a detailed introduction to a heart-breath consistency assessment method, a storage medium, and a heart-breath index monitoring device disclosed in an embodiment of the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention, and any modifications, equivalent substitutions and improvements made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for assessing heart-breath consistency, characterized by: The following steps are involved: Get heart rate and breathing data; Calculate the amplitude spectrum and phase of the heart rate and respiration data, and use the phases to calculate the phase difference between the heart rate and respiration; Linear scaling of the respiratory amplitude spectrum; Calculating the coupled part of the heart rate amplitude spectrum and the adjusted breathing amplitude spectrum and correcting the part by phase difference; The heart-breath consistency index value is calculated based on the corrected coupling part.

2. A heart-breath consistency assessment method as claimed in claim 1, characterized in that: Heart rate and respiration data are acquired synchronously.

3. A heart-breath consistency assessment method as claimed in claim 1, characterized in that: The amplitude spectrum is calculated for the heart rate and respiration data respectively, and the phase difference is calculated as follows: The acquired heart rate and respiration data are grouped and processed according to time; For each group, the amplitude spectrum and phase are obtained by Fourier transform; The phase difference is then obtained by calculating the difference between the heart rate and breathing phases.

4. A heart-breath consistency assessment method as claimed in claim 2, characterized in that: The linear scale adjustment of the respiratory amplitude spectrum is as follows: Find the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum, then find the frequency corresponding to the peak amplitude in the heart rate amplitude spectrum near this frequency, and record the heart rate amplitude and respiratory amplitude corresponding to each peak frequency; The proportionality coefficient is calculated using the heart rate amplitude and the respiratory amplitude corresponding to the peak frequency; The proportional coefficient is then used to linearly scale the respiratory amplitude spectrum.

5. A heart-breath consistency assessment method as claimed in claim 4, characterized in that: The adjusted respiratory amplitude spectrum is: in where d b (f) represents the amplitude corresponding to frequency f in the respiratory amplitude spectrum before adjustment, and k is the proportional coefficient; is the frequency corresponding to the peak amplitude in the respiratory amplitude spectrum; In the heart rate amplitude spectrum The frequency corresponding to the peak amplitude in the nearby range; d h (f) represents the amplitude corresponding to frequency f of the heart rate amplitude spectrum; is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude, is the heart rate amplitude spectrum at frequency The corresponding amplitude, is the respiratory amplitude spectrum at frequency The corresponding amplitude.

6. A heart-breath consistency assessment method as claimed in claim 5, characterized in that: Set S p is the coupled part of the heart rate amplitude spectrum and the adjusted respiratory amplitude spectrum, and the phase difference is used to calculate S p The correction formula is: Where θ(f) represents the phase difference, f∈[x,y] represents the frequency range of the respiratory amplitude spectrum, where 7. A heart-breath consistency assessment method as claimed in claim 1, characterized in that: Before calculating the heart-breath coherence index value, the total power of the heart rate is calculated within the frequency range of the heart rate amplitude spectrum: Where f∈[p,q] represents the frequency range of the heart rate amplitude spectrum, d h (f) represents the amplitude of the heart rate amplitude spectrum at any frequency f.

8. A heart-breath consistency assessment method as claimed in claim 7, characterized in that: The formula for calculating the heart-breath consistency index value is:

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the steps of a heart-breath consistency assessment method as described in any one of claims 1-8 are implemented.

10. A heart and breath index monitoring device, characterized in that: The heart and breath index monitoring device comprises a collection unit for collecting heart rate data and breathing data, and a processing unit for processing heart rate data and breathing data, which is connected to the collection unit by signal; When processing the heart rate data and the breathing data, the processing unit adopts the steps of a heart-breath consistency assessment method as described in any one of claims 1 to 8 to calculate and obtain a heart-breath consistency index value.

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