CN115177843A - Method and system for evaluating relaxation state of body and method and system for adjusting relaxation state of body - Google Patents
Method and system for evaluating relaxation state of body and method and system for adjusting relaxation state of body Download PDFInfo
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Abstract
The invention is suitable for the technical field of diagnosis and provides a method and a system for evaluating the relaxation state of a body and a method and a system for adjusting the relaxation state of the body, wherein the method for evaluating the relaxation state of the body comprises the following steps: selecting a relaxation training model to obtain a reference respiration waveform; carrying out relaxation training according to the relaxation training model to obtain a training respiratory waveform; respectively calculating a mental stress index and a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform; and evaluating the relaxation state of the body according to the breath matching index and the mental stress index. The method of the application integrates two aspects of the respiration matching index and the mental pressure index to evaluate the relaxation state of the body, combines the subtle states of the user in the processes of inspiration and expiration, and evaluates the relaxation state of the user more comprehensively and accurately.
Description
Technical Field
The invention relates to the field of diagnosis, in particular to a method, a system, a medium and equipment for evaluating a body relaxation state, and further relates to a method, a system, a medium and equipment for adjusting the body relaxation state.
Background
The 'relaxing training' is similar to Chinese meditation, tai Chi and other training, can help the muscles of the whole body relax, promote the self-inhibition state, promote the blood circulation of the whole body, promote the healthy breathing mode, and well help people calm the mood, eliminate fatigue, refresh the spirit and recover the physical strength. The patient is well guided to adopt a scientific method to carry out effective relaxation training, and the corresponding relaxation training result is fed back to help the patient to make effective adjustment, so that the confidence and the stickiness of the continuous training of the patient are enhanced, and a better treatment effect is obtained.
As described in patent CN107411726 a: the invention provides a biological feedback control method and system based on HRV heart rate variation training. The method comprises the following steps: s1: providing a mode option comprising any one or more of a combination of a breathing guidance mode, a breathing training mode and a state evaluation mode for selection by a user; s2: and entering a corresponding mode interface according to the selection operation of the user, and carrying out heart rate variability analysis on the current user when the user selects a respiratory training mode or a state evaluation mode. The invention has the advantages that: the method is not limited to simple evaluation, and the method is used for restoring balance of damaged parasympathetic nerves (or sympathetic nerves) by carrying out targeted breathing training with different rhythms on the user so as to achieve the aim of effectively preventing or relieving some diseases.
In the traditional biological feedback therapy (relaxation training), related sensors need to be worn on a patient, such as attaching an electrocardio electrode plate for acquiring electrocardio, attaching a finger oxygen probe or a bracelet or a watch for acquiring pulse wave, attaching an electroencephalogram for acquiring brain information, and the like, the wearing of the sensors does not imply that the patient collects his data, so that the psychological tension, the repulsion and the discomfort of the patient are easily caused, and the psychological tension cannot be completely relaxed, meanwhile, the wearing of the sensors also causes the burden of the body, and the suddenly increased touch and foreign objects may cause the abstinence and the repulsion of the body of the patient, and the body cannot be completely relaxed, so the relaxation training effect is greatly reduced.
The method for evaluating relaxation training in the prior art is mainly based on one or more of time domain or frequency domain parameters of heart rate and heart rate variability, respiratory frequency and respiratory amplitude, and essentially based on average characteristics within a certain time length or singly judges the relaxation state of a patient by calculating the mental stress index of the patient, neglects the subtle state of the patient in successive expiration and inspiration processes, leads the patient only according to the frequency of a training model during the relaxation training, compares the frequency generated after the training with the model, completely does not consider whether the patient really realizes the relaxation, and is difficult to realize the real-time expiration and inspiration process evaluation.
Disclosure of Invention
The invention aims to provide a method, a system, a medium and equipment for evaluating a body relaxation state, and also provides a method, a system, a medium and equipment for adjusting the body relaxation state, so as to solve the technical problems in the prior art, and mainly comprises the following aspects:
the first aspect of the present application provides a method for evaluating a relaxation state of a body, including the steps of:
selecting a relaxation training model to obtain a reference respiration waveform;
performing relaxation training according to a relaxation training model to obtain a training respiratory waveform;
respectively calculating a mental pressure index, a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
and evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
Further, calculating a breath match index between the reference respiratory waveform and the training respiratory waveform comprises the steps of:
calculating the difference duration between the reference respiratory waveform and the training respiratory waveform, wherein the difference duration is the duration of the part which is not overlapped between the reference respiratory waveform and the training respiratory waveform;
and calculating a breath matching index according to the difference duration.
Further, calculating the breath match index according to the difference duration includes the steps of:
calculating the ratio of the difference duration to the overall duration of the reference respiratory waveform, and calculating a respiratory matching index according to the ratio; or
Establishing a mapping relation between the difference duration and a respiration matching index;
and calculating to obtain the breathing matching index according to the mapping relation.
Further, calculating a mental stress index according to the breathing parameters of the training breathing waveform, and/or performing relaxation training according to a relaxation training model to obtain a training heart rate parameter of the body, and calculating the mental stress index.
A second aspect of the present application provides a method for adjusting a relaxed state of a body, including the following steps:
executing the assessment method of the body relaxation state;
if the breath matching index is located outside the preset breath matching index interval and/or the mental stress index is located outside the preset mental stress index interval, the breath matching index is adjusted to be within the preset breath matching index interval, and the mental stress index is adjusted to be within the preset mental stress index interval.
Further, the breath matching index and the mental stress index are adjusted by adjusting the expiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the inspiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the breathing depth.
The third aspect of the present application provides a system for evaluating a relaxation state of a body, including the following modules:
a reference respiration module: the method comprises the steps of selecting a relaxation training model to obtain a reference respiration waveform;
training a breathing module: the device is used for carrying out relaxation training according to a relaxation training model to obtain a training respiratory waveform;
a calculation module: the device is used for respectively calculating a mental stress index and a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
an evaluation module: used for evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
The fourth aspect of the present application provides a system for adjusting a relaxed state of a machine body, including the following modules:
an execution module: an evaluation method for performing the above-described body relaxation state;
an adjusting module: and if the breath matching index is positioned outside the preset breath matching index interval and/or the mental stress index is positioned outside the preset mental stress index interval, adjusting the breath matching index to be within the preset breath matching index interval and adjusting the mental stress index to be within the preset mental stress index interval.
A fifth aspect of the present application provides a readable storage medium for storing a program for implementing the above-described method for evaluating a relaxed state of the body or for implementing the above-described method for adjusting a relaxed state of the body when the program is executed.
A sixth aspect of the present application provides an electronic device comprising one or more processors; a memory on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the above-described body relaxation state evaluation method or the adjustment method for body relaxation state.
Compared with the prior art, the invention at least has the following technical effects:
(1) Therefore, according to the body relaxation state evaluation method provided by the application, firstly, a user selects a relaxation training model to obtain a reference respiration waveform, then the user trains the relaxation training model to obtain a training respiration waveform, and according to the obtained reference respiration waveform and the training respiration waveform, the respiration matching index between the reference respiration waveform and the training respiration waveform, the mental stress index of the user, the comprehensive respiration matching index and the mental stress index are calculated to evaluate the relaxation state of the body, so that the fine state of the user in the inspiration and expiration processes is combined, and the relaxation state of the user is more comprehensively and accurately evaluated.
(2) By the method for adjusting the body relaxation state, the breath of the user can be adjusted in time according to the estimated relaxation result in real time, the breath matching index and the mental stress index are updated continuously in time, closed-loop feedback is formed, the user can obtain good relaxation training and is in the relaxation state as far as possible, and the user is helped to find a proper self relaxation training method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention or in the description of the prior art will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of a method for assessing a relaxation state of a body according to the present invention;
FIG. 2 is a first schematic view of the seating furniture of the present invention;
fig. 3 is a second schematic view of the seating furniture of the present invention.
FIG. 4 is data collected by the vibration sensor of the present invention;
FIG. 5 is the data of FIG. 4 after a filtering process;
FIG. 6 is a reference respiratory waveform and a training respiratory waveform in the present invention;
FIG. 7 is a schematic diagram of a computer-readable storage medium according to the present invention;
FIG. 8 is a schematic diagram of an electronic device according to the present invention;
in the figure: 101-a seat; 101A-a first region; 102B-a second region; 103-a display device; 104-a headset; 201A-backrest; 201B-foot support plate.
Detailed Description
The following description provides many different embodiments, or examples, for implementing different features of the invention. The particular examples set forth below are illustrative only and are not intended to be limiting.
Aspects of the present invention will be described more fully hereinafter with reference to the accompanying drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to any specific structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Based on the teachings herein one skilled in the art should appreciate that the scope of the present invention is intended to encompass any aspect disclosed herein, whether alone or in combination with any other aspect of the invention to accomplish any aspect disclosed herein. For example, it may be implemented using any number of the apparatus or performing methods set forth herein. In addition, the scope of the present invention is intended to cover apparatuses or methods implemented with other structure, functionality, or structure and functionality in addition to the various aspects of the invention set forth herein.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
The first embodiment is as follows:
as shown in fig. 1, an embodiment of the present application provides a method for estimating a relaxation state of a body, including the following steps:
selecting a relaxation training model to obtain a reference respiration waveform;
carrying out relaxation training according to the relaxation training model to obtain a training respiratory waveform;
respectively calculating a mental pressure index, a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
and evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
In the above scheme, before starting the relaxation training, it is necessary to prepare the equipment related to the relaxation training, which is specifically as follows:
seat or lying furniture for relaxation training: the patient needs a relatively comfortable physical environment for the return training to well stretch the body, and sitting or lying down can help the patient to better find the corresponding physical environment. As shown in fig. 2, the seat 101 includes a backrest, a base, and side arm portions so that the patient can have a better "wrapped feeling" when sitting, which is similar to the feeling that an infant is wrapped in the placenta before birth, and can be more relaxed.
In order to collect data of the user during relaxation, it is necessary to mount a vibration sensor on the seat, which may be mounted at the first area 101A or at the second area 102B of the seat 101. The vibration sensor comprises an acceleration sensor, a pressure sensor and a displacement sensor or a sensor which is equivalently converted by taking acceleration, pressure and displacement as basic physical quantities, and the vibration sensor adopts a light ray sensor.
In addition, the seat 101 is further provided with a display device 103, which can be a notebook, a tablet, a mobile phone, etc., without limitation, and can input the identity information, the training information, etc. of the user through the display device, so that the user can find his own training information in time; as shown in fig. 3, the seat 101 further includes a backrest 201A and a foot supporting plate 201B, the angle of the user sitting on the seat 101 can be adjusted by adjusting the backrest 201A, and the angles of the two legs can be adjusted by adjusting the foot supporting plate 201B, so as to help the user find a more comfortable state, wherein the adjustment methods of the backrest 201A and the foot supporting plate 201B are not limited herein, and may be manual adjustment or electric adjustment.
It should be noted that, in the present application, there is no requirement for the structural form of the seat or the sliding tool, as long as a person can perform relaxation training on the seat and obtain related data.
After the preparation work is finished, the user selects a relaxation training model suitable for the user as required, and the relaxation training module comprises: voice guidance, music therapy, VR therapy, binaural beat therapy, and the like. After the relaxation training model is selected, the corresponding reference respiration waveform can be obtained according to the training model.
The user then merely sits on the seat with or without the earphones 104, and is in a separate, relatively quiet environment where the music is played out, such as by sound. In the training process, a patient does not need to do any operation, only needs to follow a training model, such as voice guidance, and relaxes the body and mind in an immersive mode as much as possible, while the vibration sensor always collects data in the process that the user is not prepared and burdened, and actually calculates related parameters for evaluating the relaxation state of the user.
As shown in fig. 4, the training respiratory waveform acquired by the vibration sensor in the second region 102B during exercise of the user is shown, in the figure, the large contour is a signal envelope generated during the exhalation process and the inhalation process of the user, and the heart beat and other interference noise are superimposed on a respiratory envelope curve, at this time, the respiratory signal waveform related to the actual exhalation process and the inhalation process of the user is directly acquired based on the respiratory envelope curve, that is, the data acquired by the vibration sensor is directly preprocessed to capture the signal within the required bandwidth range (0-2 HZ) of the calculated respiratory waveform, and the preprocessing method may be one or more combinations of filtering methods such as an IIR filter, an FIR filter, a wavelet filter, a zero-phase bidirectional filter, a mean value filter, and a smoothing filter.
As shown in fig. 5, the training respiratory waveform obtained by performing the low-pass filtering process on fig. 4 with an IIR filter is shown. The utility model provides an optical fiber sensor is adopted to vibration sensor, the sensitive pressure variation that vibration displacement change arouses, the user exhales the position relation system of pressure variation and vibration sensor that the process arouses with the process of breathing in, the position that vibration sensor installed on thing to sit on 101 is different, can lead to the training breathing waveform that produces different, vibration sensor is arranged in the second area 102B in this embodiment, user's buttock below promptly, when the user breathes in, the chest abdominal cavity is carried the gas and is expanded, lead to the health to be in the state of pushing down, for the increase trend to bottom pressure variation, for the falling edge interval in the training breathing waveform, the rising interval in the breathing waveform is then untrained to the expiratory state.
For convenience of description, the mode for guiding the patient's breathing is not configured in this embodiment as the simplest fixed breathing frequency mode with reference to the state set of the beard waveform, and is configured as a training "fast deep inhalation slow deep exhalation" mode, where the inhalation time interval is configured as T1, the exhalation time interval is configured as T2, and the cycle is repeated, generally, the patient needs to inhale fast and deeply, and exhale slowly, that is, the exhalation time interval is set to be T2 greater than the inhalation time interval as T1, and in this embodiment, the exhalation time interval as T2 is about twice as long as the inhalation time interval as T1. As shown in fig. 6, the uppermost solid square wave is a reference respiratory waveform, the low state value indicates a guiding inspiratory state, the high state value indicates a guiding expiratory state, the user performs expiration and inspiration along with voice guidance during training, the vibration sensor records the respiratory state of the user, the recorded data is a waveform diagram of the middle position, for convenience of presentation, the waveform diagrams of the middle position are two, one is a training respiratory waveform obtained by original training respiration, the other is a formed waveform obtained by filtering the original data, a real training respiratory waveform after training can be calculated by the waveform, and the lowermost square wave is a training respiratory waveform in a square waveform form obtained according to the training respiratory waveform after filtering processing in the middle. Similarly, a low state value indicates a leading inspiratory state and a high state value indicates a leading expiratory state; wherein the gray filled-in module represents the time difference during inspiration that the actual inspiration is earlier or later than the end of the reference inspiration, and the black filled-in module represents the time difference during expiration that the actual expiration is earlier or later than the end of the reference expiration.
Then calculating a breath matching index between the reference breath waveform and the training breath waveform according to the reference breath waveform and the training breath waveform, wherein the breath matching index comprises an expiration matching index and an inspiration matching index; the mental pressure index is calculated according to the breathing frequency in the training breathing waveform, the relaxation state of the body is comprehensively evaluated according to whether the obtained breathing matching index is located in a preset expiration matching index interval or not and whether the obtained breathing matching index is located in a preset mental pressure index interval or not, for example, the preset breathing matching index interval is 0.2-0.5 and the preset mental pressure index interval is 0.1-0.3, whether the user is in the relaxation state or not is judged through the breathing matching index and the mental pressure index together, the user is not judged to be more relaxed only through the higher breathing matching index, the user is not relaxed through the lower mental pressure index, and the breathing matching index obtained through the relaxation training of the user is not high, each time of expiration is delayed by a certain time compared with the training model, but the user is probably in the most relaxed state, and the user is easy to be misjudged if the relaxation state is judged only through the breathing matching index.
The body in the present application refers to a user using the method or apparatus in the present application.
Therefore, according to the body relaxation state evaluation method provided by the application, firstly, a user selects a relaxation training model to obtain a reference respiration waveform, then the user trains the relaxation training model to obtain a training respiration waveform, and according to the obtained reference respiration waveform and the training respiration waveform, the respiration matching index between the reference respiration waveform and the training respiration waveform, the mental stress index of the user, the comprehensive respiration matching index and the mental stress index are calculated to evaluate the relaxation state of the body, so that the fine state of the user in the inspiration and expiration processes is combined, and the relaxation state of the user is more comprehensively and accurately evaluated.
Further, calculating a breath match index between the reference respiratory waveform and the training respiratory waveform comprises the steps of:
calculating the difference duration between the reference respiratory waveform and the training respiratory waveform, wherein the difference duration is the duration of the part which is not overlapped between the reference respiratory waveform and the training respiratory waveform;
and calculating a breath matching index according to the difference duration.
Further, calculating the breath match index according to the difference duration includes the steps of:
calculating the ratio of the difference duration to the overall duration of the reference respiratory waveform, and calculating a respiratory matching index according to the ratio; or
Establishing a mapping relation between the difference duration and a respiration matching index;
and calculating to obtain the breath matching index according to the mapping relation.
In the above scheme, the respiratory matching index substantially refers to the matching degree between the reference respiratory waveform and the training respiratory waveform, and the specific calculation method is as follows:
as shown in fig. 6, the gray filled blocks represent the time difference during inspiration that the actual inspiration is earlier or later than the end of the reference inspiration, and the black filled blocks represent the time difference during expiration that the actual expiration is earlier or later than the end of the reference expiration; adding the corresponding time lengths of all the gray filling modules to be used as inspiration difference time length, and then calculating corresponding inspiration matching indexes according to the ratio of the inspiration difference time length to the integral time length of the reference respiration waveform or according to the difference time length through methods such as a functional relation and the like; after the difference duration is obtained, a mapping relation can be established between the difference duration and the inspiration matching index, for example, the difference duration is 0.1, the corresponding inspiration matching index is 1, the inspiration matching index can be obtained through the method, and in addition, the corresponding difference area, volume and the like can be calculated through the inspiration difference duration to obtain the corresponding inspiration matching index.
Similarly, the corresponding durations of all the black filling modules are added to be used as the expiration difference duration, and then the corresponding expiration matching index is calculated according to the ratio of the expiration difference duration to the overall duration of the reference respiration waveform or according to the difference duration through methods such as a functional relation and the like; after the difference duration is obtained, a mapping relation can be established between the difference duration and the expiration matching index, if the difference duration is 0.1, and the corresponding expiration matching index is 1, the expiration matching index can be obtained through the method, and in addition, the corresponding difference area, volume and the like can be calculated through the expiration difference duration to obtain the corresponding expiration matching index.
If only the inspiration process is concerned, only an inspiration matching index model can be evaluated and established to represent the breathing matching index evaluation training effect; if only the exhalation process is concerned, the exhalation matching index model can be only evaluated and established to evaluate and characterize the training effect of the breathing matching index. Of course, the two processes can be considered simultaneously, and the breathing matching index model is evaluated and established by considering the inspiration process and the expiration process simultaneously, so as to represent the training effect of the breathing matching index evaluation. In one embodiment, different attention weights are possible for the inspiration process and the expiration process, and the respiratory matching index model can be established through a weight distribution function. Further, the difference duration, the ratio of the difference duration to the training duration, the ratio of the difference duration to the overlap duration, and the relationship between the difference durations and the training durations, which can be converted with each other, may all establish a mapping relationship corresponding to the breath matching index, which is not described in detail.
Further, calculating a mental stress index according to the breathing parameters of the training breathing waveform, and/or performing relaxation training according to a relaxation training model to obtain a training heart rate parameter of the body, and calculating the mental stress index.
After the training respiratory waveform is obtained, respiratory parameters such as respiratory frequency and respiratory mode of the training respiratory waveform can be calculated and obtained through various methods such as a time domain wave searching method, a morphology matching method and a time-frequency analysis method, and then mental stress indexes are calculated through the respiratory parameters, wherein if the respiratory frequency is higher, the mental stress is higher, and if the respiratory frequency is lower and tends to be stable, the mental stress is lower.
The mental stress index of the body can be calculated according to training heart rate parameters of the user, such as heart rate, heart rate variability and other parameters, obtained by the vibration sensor after the user performs relaxation training.
The mental stress index of the body can be calculated according to the comprehensive breathing parameter and heart rate parameter.
In the application, the heart rate variability is used for calculation, the synergistic effect of the sympathetic nerve and the parasympathetic nerve of the autonomic nervous system is reflected, the function and the balance capability of the autonomic nervous system are represented, and the mental state of a patient can be reflected. There are many analysis methods for heart rate variability, including linear analysis methods and nonlinear analysis methods, and linear analysis methods also include time domain analysis methods, frequency domain analysis methods, transfer function analysis methods, and the like. In this embodiment, a frequency domain analysis method is adopted, and based on the obtained time domain BCG signal waveform, a beat-to-beat heart beat width sequence is obtained by a wave searching method, and a heart beat width sequence of a certain time length (2 minutes in this embodiment) is taken for power spectrum analysis. The power spectrum can be obtained by using methods such as Fourier transform, welch spectrum method, AR spectrum estimation and the like. In the embodiment, an AR spectrum estimation method is adopted, then spectrum division is carried out, and high-frequency components HF are classified into groups of 0.15 to 0.40Hz, low-frequency components LF are classified into groups of 0.04 to 0.15Hz, and ultra-low-frequency components VLF are classified into groups of 0.003 to 0.04Hz. An energy ratio LF/HF of the low frequency component to the high frequency component is calculated, which reflects the state of equilibrium of the autonomic nervous system, to thereby map the Stress index Stress (HRV (t)), HRV (t) = HRV ((LF/HF) (t)). Further, in one embodiment, the Stress index Stress (HRV (t)), HRV (t) = HRV ((LF/HF) (t), TP (t)) may be corrected in combination with the total power spectrum TP.
Example two:
the second embodiment of the present application provides a method for adjusting a body relaxation state, including the following steps:
executing the assessment method of the body relaxation state;
if the breath matching index is located outside the preset breath matching index interval and/or the mental stress index is located outside the preset mental stress index interval, the breath matching index is adjusted to be within the preset breath matching index interval, and the mental stress index is adjusted to be within the preset mental stress index interval.
Further, the breath matching index and the mental stress index are adjusted by adjusting the expiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the inspiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the breathing depth.
In the above scheme, after the organism passes the relaxation training, the calculated breath matching index is located outside the preset breath matching index interval, the organism needs to be adjusted, and the breath matching index is adjusted to the preset breath matching index interval, and the specific adjustment method is as follows:
the last two black filled blocks are very small in area as shown in fig. 6. And the gray filling blocks still exist, but both gray filling blocks are provided with the inspiration end position, namely the expiration start position later than the reference respiration waveform, so that the voice guidance can generate an adjusted relaxed training guidance model according to the characteristic self-adaptive update, the inspiration time ratio is slightly lengthened, namely, the inspiration time interval T1 is adjusted to be T1+ delta T, the expiration time interval is T2-delta T, and the delta T is larger than 0 and is adjusted according to the patient adaptation time difference. Of course, the adjustment cannot be blindly adjusted, otherwise, the patient's own unscientific breathing pattern may be matched, and the fine adjustment must be carried out by properly matching the breathing fluctuation rhythm of the patient on the premise of the scientific breathing pattern approved by medical staff. In the embodiment, the allowable adjustment range is configured such that after the inspiration time interval T1 is adjusted to T1+ Δ T, the time interval of 70% of the expiration time interval T2- Δ T still cannot be exceeded, so as to ensure the training status of fast deep inspiration and slow expiration.
In one embodiment, the mode configured to guide the patient's breathing is a training "slow deep inspiration slow deep expiration" mode, and the adjusted T1+ Δ T may be limited to a range of (T2- Δ T) × 80% - (T2- Δ T) × 120%. In one embodiment, the mode configured to guide the patient's breathing is a training "slow deep inhalation, fast deep exhalation" mode, and the adjusted T1+ Δ T may be limited to be no less than (T2- Δ T) × 150%.
In particular, due to differences in the acuteness of reflex actions made by the patient in the relaxation training guided by the reference respiratory waveform, for example, the body has a lag in the transition from the inspiration state to the expiration state corresponding to the guidance instruction, and although not matched with the reference respiratory waveform, the current state may be the most comfortable and relaxed state of the body.
It should be noted that, in the present application, the relaxed state of the body can be adjusted by adjusting the inspiration time or the expiration time alone, and the adjustment can be performed by adjusting the inspiration time and the expiration time simultaneously, which is not limited herein.
After the body passes the relaxation training, the calculated mental stress index is outside the preset mental stress index interval, the body needs to be adjusted, and the mental stress index is adjusted to the preset mental stress index interval, wherein the specific adjustment method comprises the following steps:
in this embodiment, at a certain time T1 during the respiratory training, the inspiration time interval is T1 (T1), the expiration time interval is T2 (T1), and the Stress index is Stress (T1). At this time, if an adjustment is made to Δ T (T1), Δ T (T1) >0, for the respiratory matching state of the patient, at the next time T2, the inspiration time interval is T1 (T2) = T1 (T1) + Δ T (T1), the expiration time interval is T2 (T2) = T1 (T1) - Δ T (T1), and the Stress index is Stress (T2). In this case, the deviation Δ Stress (t 2) between Stress (t 2) and Stress (t 1) can be determined. If Δ Stress (T2) is greater than 0, indicating that the direction of adjustment may adversely affect the patient's own relaxation state, and therefore- Δ T (T2), Δ T (T2) >0, can be adjusted in reverse, then at the next time T3, the inspiration time interval is T1 (T3) = T1 (T2) - Δ T (T2), the expiration time interval is T2 (T3) = T1 (T2) + Δ T (T2), and the Stress index is Stress (T3). At this time, the deviation value Δ Stress (t 3) between Stress (t 3) and Stress (t 2) can be judged, and Δ Stress (t 3) is found to be less than 0, which indicates that the adjustment direction is accurate and further adjustment can be performed. The above steps are repeated in a cycle, so that a relaxation training guide model which is best fit with the current patient can be found in the current breathing mode. In one embodiment, when Δ Stress (t 2) is found to be greater than 0, Δ t (t 2) >0, which is adjusted in the reverse direction, may also ensure that Δ t (t 2) > Δ t (t 1) >0, to reach the equilibrium point more quickly.
Preferably, the breath matching index and mental stress index can also be adjusted by adjusting the breath depth, such as adjusting the frequency of expiration and inspiration in the breath depth, 10 breaths in 1 minute, 5 breaths out, and the like.
Therefore, by the method for adjusting the body relaxation state, the breath of the user can be adjusted in time according to the estimated relaxation result in real time, the breath matching index and the mental stress index are updated continuously in time to form annular feedback, so that the user can obtain good relaxation training and is in the relaxation state as far as possible, and the user is helped to find a proper relaxation training method.
Example three:
the third embodiment of the present application provides an assessment system for a relaxation state of a body, including the following modules:
a reference respiration module: the method comprises the steps of selecting a relaxation training model to obtain a reference respiration waveform;
training a breathing module: the device is used for carrying out relaxation training according to a relaxation training model to obtain a training respiratory waveform;
a calculation module: the device is used for respectively calculating a mental stress index and a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
an evaluation module: used for evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
Further, the calculation module is configured to calculate a respiratory match index between the reference respiratory waveform and the training respiratory waveform as follows:
calculating the difference duration between the reference respiratory waveform and the training respiratory waveform, wherein the difference duration is the duration of the part which is not overlapped between the reference respiratory waveform and the training respiratory waveform;
and calculating a breath matching index according to the difference duration.
Further, the calculating module is further configured to calculate a breath matching index according to the difference duration:
calculating the ratio of the difference duration to the overall duration of the reference respiratory waveform, and calculating a respiratory matching index according to the ratio; or
Establishing a mapping relation between the difference duration and a respiration matching index;
and calculating to obtain the breath matching index according to the mapping relation.
Further, the calculation module is used for calculating the mental stress index according to the breathing parameters of the training breathing waveform, and/or performing relaxation training according to a relaxation training model to obtain the training heart rate parameter of the body and calculate the mental stress index.
Example four:
the fourth embodiment of the present application provides a system for adjusting a relaxation state of a machine body, including the following modules:
an execution module: an evaluation method for performing the above-described body relaxation state;
an adjusting module: and if the breath matching index is positioned outside the preset breath matching index interval and/or the mental stress index is positioned outside the preset mental stress index interval, adjusting the breath matching index to be within the preset breath matching index interval and adjusting the mental stress index to be within the preset mental stress index interval.
Further, the adjusting module is further used for adjusting the breath matching index and the mental pressure index by adjusting the expiration time, and/or adjusting the breath matching index and the mental pressure index by adjusting the inspiration time, and/or adjusting the breath matching index and the mental pressure index by adjusting the breath depth.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described system and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Example five:
an embodiment of the present invention provides a readable storage medium for storing a program, where the program is used to implement the above-mentioned method for estimating a relaxed state of the body, or to implement the above-mentioned method for adjusting a relaxed state of the body.
Fig. 7 shows a block diagram of a computer-readable storage medium according to a fifth embodiment of the present application. The computer readable storage medium 1200 has stored therein a program code 1210, said program code 1210 being invokable by a processor for performing the method described in the above method embodiments.
The computer-readable storage medium 1200 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM (erasable programmable read only memory), a hard disk, or a ROM. Optionally, the computer-readable storage medium 1200 comprises a non-volatile computer-readable storage medium. The computer readable storage medium 1200 has storage space for program code 1210 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. The program code 1210 may be compressed, for example, in a suitable form.
Example six:
an embodiment of the present application provides an electronic device, including one or more processors; a memory on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the above-described body relaxation state evaluation method or the adjustment method for body relaxation state.
Fig. 8 is a block diagram of an electronic device 1100 according to a sixth implementation of the present application. The electronic device 1100 in the present application may include one or more of the following components: memory 1110, processor 1120, and one or more applications, wherein the one or more applications may be stored in memory 1110 and configured to be executed by the one or more processors 1120, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
The Memory 1110 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). The memory 1110 may be used to store instructions, programs, code sets, or instruction sets. The memory 1110 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a histogram equalization function, etc.), instructions for implementing various method embodiments described below, and the like. The stored data area may also store data created during use by the electronic device 1100 (such as image matrix data, etc.).
Processor 1120 may include one or more processing cores. The processor 1120 interfaces with various parts throughout the electronic device 1100 using various interfaces and lines, and performs various functions of the electronic device 1100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1110 and calling data stored in the memory 1110. Alternatively, the processor 1120 may be implemented in hardware using at least one of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1120 may integrate one or more of a Central Processing Unit (CPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, an application program and the like; the modem is used to handle wireless communications. It is to be understood that the modem may not be integrated into the processor 1120, but may be implemented by a communication chip.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A method for evaluating a relaxation state of a body is characterized by comprising the following steps:
selecting a relaxation training model to obtain a reference respiration waveform;
carrying out relaxation training according to the relaxation training model to obtain a training respiratory waveform;
respectively calculating a mental stress index and a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
and evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
2. The evaluation method of claim 1, wherein calculating a breath match index between the reference respiratory waveform and the training respiratory waveform comprises the steps of:
calculating the difference duration between the reference respiratory waveform and the training respiratory waveform, wherein the difference duration is the duration of the non-overlapped part between the reference respiratory waveform and the training respiratory waveform;
and calculating a breath matching index according to the difference duration.
3. The evaluation method according to claim 2, wherein calculating a breath match index based on the length of difference comprises the steps of:
calculating the ratio of the difference duration to the overall duration of the reference respiratory waveform, and calculating a respiratory matching index according to the ratio; or
Establishing a mapping relation between the difference duration and a respiration matching index;
and calculating to obtain the breath matching index according to the mapping relation.
4. The evaluation method according to claim 1, wherein the mental stress index is calculated based on the obtained breathing parameters of the training breathing waveform and/or the mental stress index is calculated based on a training heart rate parameter of the body obtained by performing a relaxation training according to a relaxation training model.
5. A method for adjusting the relaxation state of a machine body is characterized by comprising the following steps:
performing a method of assessing a state of relaxation of a body as claimed in any one of claims 1 to 4;
if the breath matching index is located outside the preset breath matching index interval and/or the mental stress index is located outside the preset mental stress index interval, the breath matching index is adjusted to be within the preset breath matching index interval, and the mental stress index is adjusted to be within the preset mental stress index interval.
6. The adjustment method according to claim 5, characterized in that the breath matching index and the stress index are adjusted by adjusting the expiration time, and/or the breath matching index and the stress index are adjusted by adjusting the inspiration time, and/or the breath matching index and the stress index are adjusted by adjusting the depth of breath.
7. A system for evaluating the relaxation state of a body is characterized by comprising the following modules:
a reference respiration module: the method comprises the steps of selecting a relaxation training model to obtain a reference respiration waveform;
training a breathing module: the device is used for carrying out relaxation training according to a relaxation training model to obtain a training respiratory waveform;
a calculation module: the device is used for respectively calculating a mental stress index and a respiration matching index between the reference respiration waveform and the training respiration waveform according to the reference respiration waveform and the training respiration waveform;
an evaluation module: used for evaluating the relaxation state of the body according to the breath matching index and the mental stress index.
8. A system for adjusting the relaxed state of a machine body is characterized by comprising the following modules:
an execution module: method for performing an assessment of the relaxation state of the body as defined in one of the claims 1 to 4;
an adjusting module: and if the breath matching index is positioned outside the preset breath matching index interval and/or the mental stress index is positioned outside the preset mental stress index interval, adjusting the breath matching index to be within the preset breath matching index interval and adjusting the mental stress index to be within the preset mental stress index interval.
9. A readable storage medium for storing a program for implementing the method for assessing a body relaxation state according to any one of claims 1 to 4 or for implementing the method for adjusting a body relaxation state according to any one of claims 5 to 6 when the program is executed.
10. An electronic device comprising one or more processors; a memory on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the body relaxation state evaluation method of any one of claims 1 to 4 or the adjustment method for the body relaxation state of any one of claims 5 to 6.
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