CN114403892B - Method, device and equipment for interactively adjusting respiratory feedback based on heart rate variability - Google Patents
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/366—Detecting abnormal QRS complex, e.g. widening
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/486—Bio-feedback
Abstract
The invention discloses a method, a device and equipment for interactively adjusting respiratory feedback based on heart rate variability, wherein the method comprises the following steps: s1, guiding a subject to perform deep breathing movement through a waveform presented by a video; s2, noninvasively acquiring electrocardiosignals and respiratory signals of a subject during deep breathing by using wearable or desktop equipment; s3, carrying out R peak identification on the collected electrocardiosignals, and extracting intervals between continuous R peaks to obtain RR interval sequences; s4, storing RR interval sequences of 5 minutes in real time, and extracting characteristic values according to the obtained RR interval sequences; s5, evaluating the effect of respiratory feedback according to the presentation of the characteristic value; and S6, adjusting respiratory feedback according to the evaluated effect. The invention realizes the effect of adjusting respiratory feedback by utilizing heart rate variability interactivity by noninvasively collecting the electrocardiosignals and respiratory signals of the human body, has safe and convenient operation and accurately obtains real-time feedback adjustment.
Description
Technical Field
The invention relates to the field of medical monitoring, in particular to a method, a device and equipment for interactively adjusting respiratory feedback based on heart rate variability.
Background
The biofeedback is to convert physiological information which can not be perceived at ordinary times into information which can be perceived and understood by human bodies (such as vision, auditory signals and the like) by utilizing modern scientific technology, so that the physiological regulation effect of psychology can be exerted, the recovery of physiological functions is realized, and the balance of the heart and the body is achieved. The biggest characteristic of biofeedback is that the pertinence is strong, can treat on the pathogenic cause level of the heart disease, and has the advantages of no damage, no pain, no drug side effect, simple and convenient method, obvious alleviation of huge economic and social burden caused by the disease, and the like, so the biofeedback is now valued by a plurality of countries and is widely applied to clinical treatment. Respiratory feedback is a main biological feedback method, so that a trainee performs respiratory training according to a certain respiratory mode (such as frequency, depth, exhalation/inhalation time ratio and the like), and physiological regulation is achieved, and physiological function balance is realized. Respiratory feedback refers to intentionally enhancing depth of breath, reducing respiratory rate, and changing breathing patterns. The main functions of the method include: regulating autonomic nerve of human body to prevent and treat various physical and mental diseases; correct bad breathing habits (such as tidal breathing), prevent illness; strengthening respiratory muscles and improving lung function; even in the rehabilitation process, the rehabilitation effect of the patient is improved; etc.
Current respiratory biofeedback can only be developed according to a specific breathing pattern (fixed breathing frequency or fixed breathing depth, etc.), and after the experiment is finished, the feedback effect is evaluated through later signal processing. However, the human body is a complex combined system, and the conventional method cannot detect the real-time respiratory feedback effect and cannot adjust the respiratory feedback in real time, so that the optimal effect cannot be achieved in clinical treatment.
Disclosure of Invention
Aiming at the defects or shortcomings of the prior art, the invention provides a method, a device and equipment which are simple and feasible in technology and can interactively adjust respiratory biofeedback based on heart rate variability in real time.
The technical scheme of the invention is realized as follows:
a method of interactively adjusting respiratory feedback based on heart rate variability, comprising the steps of:
s1, guiding a subject to perform deep breathing movement through a waveform presented by a video;
s2, noninvasively acquiring electrocardiosignals and respiratory signals of a subject during deep breathing by using wearable or desktop equipment;
s3, carrying out R peak identification on the collected electrocardiosignals, and extracting intervals between continuous R peaks to obtain RR interval sequences;
s4, storing RR interval sequences of 5 minutes in real time, and extracting characteristic values according to the obtained RR interval sequences;
s5, evaluating the effect of respiratory feedback according to the presentation of the characteristic value;
and S6, adjusting respiratory feedback according to the evaluated effect.
Preferably, step S3 specifically includes:
s31, preprocessing the obtained original electrocardiosignal to strengthen the content of the QRS wave, filtering noise through a low-pass filter, and transferring the function:
filtering the low-frequency baseline drift by a high-pass filter, wherein the transfer function is as follows:
s32, enhancing the slopes of two sides of the R wave through a derivative filter and a square filter, wherein the derivative filter can also remove the input direct current component, and the transfer function is as follows:
the square filter function relationship is:
y(n)＝x 2 (n)；
s33, smoothing the output waveform through an integral filter, wherein the functional relation is as follows:
s34, setting an adaptive threshold, and when the detected QRS peak amplitude is larger than the adaptive threshold, determining the peak amplitude, marking the peak position, otherwise, marking the peak position;
s35, measuring intervals among the continuous R peaks of the marked R peaks to obtain RR interval sequences: { RR i ,i＝1,2,…N}。
Preferably, step S4 specifically includes:
s41, interpolating the RR interval sequence of the N points to be { RR i ,i＝1,2,…M}；
S42, extracting the interpolated RR interval sequence into an HF sequence { HF ] through a band-pass filter i I=1, 2, … N } and one LF sequence { LF i ,i＝1,2,…N}；
S43, establishing a Gaussian inverse transformation model, wherein t is ′ T-mu for the time of the next peak occurrence j Is waiting time;
s44, calculating a first-order mean value, wherein,
γ 0 and gamma 1 ，/>And->Coefficients of the first-order bivariate AR model;
s45, calculating a real-time point processing interactivity feature value T of the HRV according to a Kullback-Leibler (KL) distance, wherein T=T LF→HF :
Preferably, step S5 specifically includes:
s51, presetting an interactivity reference value T1;
s52, comparing the real-time HRV interactivity characteristic value T with a preset reference value T1 to evaluate the real-time respiratory feedback effect:
if T > T1 or T < T1 is considered to be poor, a change in T to T1 is required.
Preferably, step S6 specifically includes:
s61, establishing a functional relation between the respiratory rate R and the HRV interactivity characteristic value T;
s62, according to the above step S52, when T is changed to the direction T1, the changed respiratory rate R is obtained.
The embodiment of the invention also provides a device for interactively adjusting respiratory feedback based on heart rate variability, which comprises:
a guiding unit for guiding the subject to perform deep respiratory movement through the waveform presented by the video;
the signal acquisition unit is used for acquiring electrocardiosignals and respiratory signals when the subject performs deep respiratory movement;
the identification unit is used for carrying out R peak identification on the acquired electrocardiosignals and extracting intervals between continuous R peaks to obtain RR interval sequences;
the characteristic value extraction unit is used for storing the RR interval sequence of the past 5 minutes in real time and extracting a characteristic value according to the obtained RR interval sequence;
an evaluation unit for evaluating the effect of the respiratory feedback based on the presentation of the characteristic values;
an adjusting unit for adjusting the respiratory feedback in dependence of the evaluated effect.
Embodiments of the present invention also provide an apparatus for interactively adjusting respiratory feedback based on heart rate variability, comprising a processor, a memory and a computer program stored in the memory, the computer program being executable by the processor to implement a method for interactively adjusting respiratory feedback based on heart rate variability as described above.
Compared with the prior art, the invention has the following beneficial effects:
guiding a subject to perform deep respiratory movement through waveforms presented by videos, then noninvasively acquiring electrocardiosignals and respiratory signals of the subject during deep respiration by using wearable or desk-top equipment, and performing R peak identification and extracting intervals between continuous R peaks on the acquired electrocardiosignals to obtain RR interval sequences of the subject; evaluating the effect of respiratory feedback based on extracting feature values from the RR interval sequence stored in real-time for the past 5 minutes; thus, a technical scheme for realizing real-time regulation of respiratory feedback by utilizing heart rate variability interactivity is obtained. The invention realizes the effect of adjusting respiratory feedback by utilizing heart rate variability interactivity by noninvasively collecting the electrocardiosignals and respiratory signals of the human body, has safe and convenient operation, accurately obtains real-time feedback adjustment, and further more effectively realizes the prevention and treatment of physical and mental diseases.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for interactively adjusting respiratory feedback based on heart rate variability according to a first embodiment of the present invention.
Fig. 2 is a specific flowchart of step S3 in fig. 1.
Fig. 3 is a specific flowchart of step S4 in fig. 1.
Fig. 4 is a specific flowchart of step S5 in fig. 1.
Fig. 5 is a specific flowchart of step S6 in fig. 1.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for interactively adjusting respiratory feedback based on heart rate variability according to a first embodiment of the present invention includes the following steps:
step S1, guiding a subject to perform deep breathing movement through a waveform presented by a video;
step S2, noninvasively acquiring electrocardiosignals and respiratory signals of a subject during deep breathing by using wearable or desktop equipment;
s3, carrying out R peak identification on the collected electrocardiosignals, and extracting intervals between continuous R peaks to obtain RR interval sequences;
step S4, storing RR interval sequences of 5 minutes in real time, and extracting characteristic values according to the obtained RR interval sequences;
step S5, evaluating the effect of breathing feedback according to the presentation of the characteristic value;
and S6, adjusting respiratory feedback according to the evaluated effect.
In the embodiment, the subject can be guided to perform deep respiratory motion through the waveform presented by the video, then the electrocardiosignals and respiratory signals of the subject during deep respiratory are collected in a noninvasive manner by using wearable or desk-top equipment, R peak identification is performed on the collected electrocardiosignals, and intervals between continuous R peaks are extracted, so that RR interval sequences of the subject are obtained; then, preserving the sequence of the past 5 minutes in real time, and extracting characteristic values from the preserved RR interval sequence; and evaluating the effect of the breathing feedback according to the characteristic value, so as to realize real-time regulation of the breathing feedback.
Referring to fig. 2, a flowchart of steps for acquiring a heart rate variability RR interval sequence according to an embodiment of the invention is shown.
In a preferred embodiment, the step S3 specifically includes steps S31 to S35:
step S31, preprocessing the obtained original electrocardiosignal to strengthen the content of the QRS wave, filtering noise through a low-pass filter, and transferring the function:
filtering the low-frequency baseline drift by a high-pass filter, wherein the transfer function is as follows:
in step S32, the slope of two sides of the R wave is enhanced by a derivative filter and a square filter, and the derivative filter can also remove the input dc component, and the transfer function is:
the square filter function relationship is:
y(n)＝x 2 (n)；
step S33, smoothing the output waveform through an integrating filter, wherein the functional relation is as follows:
step S34, setting an adaptive threshold, and when the detected QRS peak amplitude is larger than the threshold, determining the peak amplitude as the peak amplitude, marking the peak position, otherwise, not marking the peak position;
step S35, measuring intervals among the continuous R peaks of the marked R peaks to obtain RR interval sequences: { RR i ,i＝1,2,…N}。
Referring to fig. 3, a flowchart of steps for extracting characteristic values of RR interval sequences according to an embodiment of the present invention is shown.
In a preferred implementation manner, the step S4 specifically includes steps S41 to S45:
step S41, interpolation is carried out on the RR interval sequence of N points to obtain { RR i ,i＝1,2,…M}；
Step S42, extracting the interpolated RR interval sequence as an HF sequence { HF by a band-pass filter i I=1, 2, … N } and one LF sequence { LF i ,i＝1,2,…N}；
Step S43, establishing a Gaussian inverse transformation model, wherein t is ′ T-mu for the time of the next peak occurrence j For the waiting time.
S44, calculating a first-order mean value, wherein,
γ 0 and gamma 1 ，/>And->The coefficients of the first order bivariate AR model are respectively.
Step S45, calculating a real-time point processing interactivity feature value T of HRV according to a Kullback-Leibler (KL) distance, t=t LF→HF :
Referring to fig. 4, a flowchart of steps for evaluating the effect of respiratory feedback based on the presence of the characteristic values is provided in an embodiment of the present invention.
In a preferred implementation manner, the step S5 specifically includes steps S51 to S52:
step S51, presetting an interactive reference value T1, and evaluating the best effect of respiratory feedback according to the reference value T1;
step S52, comparing the real-time HRV interactivity feature value T with a preset reference value T1 to evaluate the real-time respiratory feedback effect:
if T > T1 or T < T1 is considered to be poor, a change in T to T1 is required.
Referring to fig. 5, a flowchart of steps for adjusting respiratory feedback based on an evaluated effect is provided in accordance with an embodiment of the present invention.
In a preferred implementation manner, the step S6 specifically includes steps S61 to S62:
step S61, establishing a functional relation between the respiratory rate R and the HRV interactivity characteristic value T;
step S62, when the direction of T1 is changed according to the above step S52, the changed respiratory rate R can be obtained.
The invention provides a method for interactively adjusting respiratory feedback based on heart rate variability, which is characterized in that a subject is guided to perform deep respiratory motion through waveforms presented by videos, and then electrocardiosignals and respiratory signals of the subject during deep respiration are collected in a noninvasive manner by using wearable or desktop equipment; r peak identification is carried out on the electrocardiosignals of the subject, then intervals between continuous R peaks are extracted, and RR interval sequences of the subject are obtained; extracting a characteristic value according to RR interval sequences stored in real time for the past 5 minutes; and according to the characteristic value, evaluating the respiratory feedback effect, and then adjusting the respiratory feedback of the subject in real time. According to the technical scheme provided by the invention, through noninvasively collecting the electrocardiosignals and respiratory signals of a human body, not only can the respiratory feedback be regulated by utilizing the heart rate variability interactivity be safely and conveniently realized, but also the operation is simple and feasible, the real-time feedback regulation can be rapidly and accurately obtained, and further the prevention and treatment of the physical and mental diseases can be more effectively realized.
The second embodiment of the present invention also provides an apparatus for interactively adjusting respiratory feedback based on heart rate variability, comprising:
a guiding unit for guiding the subject to perform deep respiratory movement through the waveform presented by the video;
the signal acquisition unit is used for acquiring electrocardiosignals and respiratory signals when the subject performs deep respiratory movement;
the identification unit is used for carrying out R peak identification on the acquired electrocardiosignals and extracting intervals between continuous R peaks to obtain RR interval sequences;
the characteristic value extraction unit is used for storing the RR interval sequence of the past 5 minutes in real time and extracting a characteristic value according to the obtained RR interval sequence;
an evaluation unit for evaluating the effect of the respiratory feedback based on the presentation of the characteristic values;
an adjusting unit for adjusting the respiratory feedback in dependence of the evaluated effect.
A third embodiment of the invention provides a device for interactively adjusting respiratory feedback based on heart rate variability, comprising a processor, a memory and a computer program stored in the memory, the computer program being executable by the processor to implement a method for interactively adjusting respiratory feedback based on heart rate variability as described above.
A fourth embodiment of the present invention provides a computer readable storage medium comprising a stored computer program, wherein the computer readable storage medium is controlled to perform a method of interactively adjusting respiratory feedback based on heart rate variability as described above, when the computer program is run.
The computer program may be divided into one or more units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program in a device for interactively adjusting respiratory feedback based on heart rate variability.
The device for interactively adjusting the breathing feedback based on the heart rate variability can be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server cluster and the like. The device for interactively adjusting respiratory feedback based on heart rate variability may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic is merely an example of a device for interactively adjusting respiratory feedback based on heart rate variability and does not constitute a limitation of the device for interactively adjusting respiratory feedback based on heart rate variability, may comprise more or less components than shown, or may combine certain components, or different components, e.g. the device for interactively adjusting respiratory feedback based on heart rate variability may further comprise an input-output device, a network access device, a bus, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the control center of the device for adjusting respiratory feedback based on heart rate variability interactively connects the various parts of the whole device for adjusting respiratory feedback based on heart rate variability using various interfaces and lines.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the device for interactively adjusting respiratory feedback based on heart rate variability by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the integrated unit of the device for interactively adjusting respiratory feedback based on heart rate variability may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the modules represents that the modules have communication connection, and can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (4)
1. A method of interactively adjusting respiratory feedback based on heart rate variability, comprising the steps of:
s1, guiding a subject to perform deep breathing movement through a waveform presented by a video;
s2, noninvasively acquiring electrocardiosignals and respiratory signals of a subject during deep breathing by using wearable or desktop equipment;
s3, carrying out R peak identification on the collected electrocardiosignals, and extracting intervals between continuous R peaks to obtain RR interval sequences;
s4, storing RR interval sequences of 5 minutes in real time, and extracting characteristic values according to the obtained RR interval sequences;
the step S4 specifically comprises the following steps:
s41, interpolating the RR interval sequence of the N points to be { RR i ,i＝1,2,…M}；
S42, extracting the interpolated RR interval sequence into an HF sequence { HF ] through a band-pass filter i I=1, 2, … N } and one LF sequence { LF i ,i＝1,2,…N}；
S43, establishing a Gaussian inverse transformation model, wherein t is ′ T-mu for the time of the next peak occurrence j Is waiting time;
s44, calculating a first-order mean value, wherein,
；γ 0 and gamma 1 ，/>And->Coefficients of the first-order bivariate AR model;
s45, calculating a real-time point processing interactivity feature value T of the HRV according to a Kullback-Leibler (KL) distance, wherein T=T LF→HF ：
S5, evaluating the effect of respiratory feedback according to the presentation of the characteristic value;
the step S5 specifically comprises the following steps:
s51, presetting an interactivity reference value T1;
s52, comparing the real-time HRV interactivity characteristic value T with a preset reference value T1 to evaluate the real-time respiratory feedback effect:
if T > T1 or T < T1 is considered to be bad, T is required to be changed to the direction of T1;
s6, adjusting respiratory feedback according to the evaluated effect;
the step S6 specifically comprises the following steps:
s61, establishing a functional relation between the respiratory rate R and the HRV interactivity characteristic value T;
s62, according to the above step S52, when T is changed to the direction T1, the changed respiratory rate R is obtained.
2. The method for interactively adjusting respiratory feedback based on heart rate variability of claim 1, wherein step S3 comprises:
s31, preprocessing the obtained original electrocardiosignal to strengthen the content of the QRS wave, filtering noise through a low-pass filter, and transferring the function:
filtering the low-frequency baseline drift by a high-pass filter, wherein the transfer function is as follows:
s32, enhancing the slopes of two sides of the R wave through a derivative filter and a square filter, wherein the derivative filter can remove the input direct current component, and the transfer function is as follows:
the square filter function relationship is:
y(n)＝x 2 (n)；
s33, smoothing the output waveform through an integral filter, wherein the functional relation is as follows:
s34, setting an adaptive threshold, and when the detected QRS peak amplitude is larger than the adaptive threshold, determining the peak amplitude, marking the peak position, otherwise, marking the peak position;
s35, measuring intervals among the continuous R peaks of the marked R peaks to obtain RR interval sequences: { RR i ,i＝1,2,…N}。
3. An apparatus for interactively adjusting respiratory feedback based on heart rate variability using the method of claim 1, comprising:
a guiding unit for guiding the subject to perform deep respiratory movement through the waveform presented by the video;
the signal acquisition unit is used for acquiring electrocardiosignals and respiratory signals when the subject performs deep respiratory movement;
the identification unit is used for carrying out R peak identification on the acquired electrocardiosignals and extracting intervals between continuous R peaks to obtain RR interval sequences;
the characteristic value extraction unit is used for storing the RR interval sequence of the past 5 minutes in real time and extracting a characteristic value according to the obtained RR interval sequence;
an evaluation unit for evaluating the effect of the respiratory feedback based on the presentation of the characteristic values;
an adjusting unit for adjusting the respiratory feedback in dependence of the evaluated effect.
4. A device for interactively adjusting respiratory feedback based on heart rate variability, comprising a processor, a memory and a computer program stored in the memory, the computer program being executable by the processor to implement the method of interactively adjusting respiratory feedback based on heart rate variability as claimed in any one of claims 1 to 2.
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| CN202210079132.2A CN114403892B (en) | 2022-01-24 | 2022-01-24 | Method, device and equipment for interactively adjusting respiratory feedback based on heart rate variability |
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| CN202210079132.2A CN114403892B (en) | 2022-01-24 | 2022-01-24 | Method, device and equipment for interactively adjusting respiratory feedback based on heart rate variability |
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| CN114403892B true CN114403892B (en) | 2024-04-02 |
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