CN112545853A

CN112545853A - Massage pulse output method, massage device, electronic device, and storage medium

Info

Publication number: CN112545853A
Application number: CN202011287461.3A
Authority: CN
Inventors: 刘杰; 谢广宝; 付俊俊
Original assignee: SKG Health Technologies Co Ltd.
Current assignee: SKG Health Technologies Co Ltd.
Priority date: 2020-11-17
Filing date: 2020-11-17
Publication date: 2021-03-26

Abstract

The embodiment of the application provides a massage pulse output method, massage equipment, electronic equipment and a storage medium, wherein the massage equipment, the electronic equipment and the storage medium are applied to the massage equipment, the massage equipment comprises a pulse output circuit, and the massage pulse output method comprises the following steps: acquiring muscle state data of a current massage part; determining the muscle fatigue grade of the current massage part according to the muscle state data; and determining a driving voltage to be input to a pulse output circuit according to the muscle fatigue level so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level by the driving voltage. By implementing the embodiment of the application, the massage pulse can be output aiming at the muscle fatigue state of the user, so that the muscle fatigue of the user is relieved in a targeted manner, and the using effect of the massage equipment is improved.

Description

Massage pulse output method, massage device, electronic device, and storage medium

Technical Field

The present application relates to the field of electronic devices, and in particular, to a massage pulse output method, a massage device, an electronic device, and a storage medium.

Background

In recent years, pain in the waist and neck has become a great burden to people due to poor work and lifestyle, and the demand for massage equipment has been increasing. However, when a user uses a massage device to perform massage, the user often only uses the default mode or function of the massage device, but does not have sufficient professional level to judge how to set and use the massage device to achieve the optimal massage effect, so that the user is easy to set the massage device by mistake, the user cannot use the massage device to relieve fatigue, and the use effect of the massage device is reduced.

Disclosure of Invention

The embodiment of the application discloses a massage pulse output method, massage equipment, electronic equipment and a storage medium, and the massage pulse output method can output massage pulses according to muscle fatigue states of users, so that the muscle fatigue of the users is relieved in a targeted manner, and the using effect of the massage equipment is improved.

The embodiment of the application discloses a massage pulse output method in a first aspect, which is applied to massage equipment, wherein the massage equipment comprises a pulse output circuit, and the method comprises the following steps:

acquiring muscle state data of a current massage part;

determining the muscle fatigue grade of the current massage part according to the muscle state data;

and determining a driving voltage input to a pulse output circuit according to the muscle fatigue level so that the pulse output circuit outputs massage pulses corresponding to the muscle fatigue level under the action of the driving voltage.

As an optional implementation manner, in the first aspect of the embodiments of the present application, the determining a muscle fatigue level of the current massage position according to the muscle state data includes:

and inputting the muscle state data into a trained classification model, and determining the muscle fatigue grade of the current massage part according to a classification result output by the classification model.

As an optional implementation manner, in the first aspect of this embodiment of the present application, before the acquiring the muscle state data of the current massage position, the method further includes:

acquiring personal information of a user;

the inputting the muscle state data into the trained classification model comprises:

determining a classification model matched with the personal information of the user according to the personal information of the user;

inputting the muscle state data into a classification model matched with personal information of the user.

As an optional implementation manner, in the first aspect of this embodiment of the present application, before the inputting the muscle state data into the trained classification model, the method further includes:

extracting sample characteristic parameters from sample data, wherein the sample data carries a muscle fatigue grade label, and the sample data comprises sample electromyography data and sample blood oxygen data;

inputting the sample characteristic parameters and the corresponding muscle fatigue grade labels into a classification model to be trained, and outputting the estimated muscle fatigue grade corresponding to the sample characteristic parameters through the classification model to be trained;

and calculating loss according to the muscle fatigue grade label and the estimated muscle fatigue grade, and adjusting the parameters of the classification model to be trained according to the loss.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the extracting sample feature parameters from the sample data further includes:

extracting sample characteristic parameters from sample data carrying the same personal information label;

the step of inputting the muscle state data into a trained classification model and determining the muscle fatigue level of the current massage part according to a classification result output by the classification model comprises the following steps:

acquiring personal information corresponding to the muscle state data;

determining a target personal information label corresponding to the personal information, inputting the muscle state data into a trained target classification model, and determining the muscle fatigue grade of the current massage part according to a classification result output by the target classification model, wherein the target classification model is a classification model which completes training through sample data carrying the target personal information label.

As an optional implementation manner, in the first aspect of the embodiments of the present application, the muscle state data includes electromyography data and blood oxygen data;

the acquiring of the muscle state data of the current massage part comprises the following steps:

collecting an electromyographic signal of a current massage part through an electromyographic signal sensor;

sending a detection light signal to the current massage part through a blood oxygen sensor, and collecting a reflected light signal corresponding to the detection light signal;

calculating the electromyographic signals to obtain electromyographic data of the current massage part;

and calculating the blood oxygen content of the current massage part according to the detection light signal and the reflected light signal, and taking the blood oxygen content as blood oxygen data.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the calculating the electromyographic signal to obtain the electromyographic data of the current massage position includes:

calculating a signal characteristic parameter of a target electromyographic signal acquired within a first preset time length, and taking the signal characteristic parameter as electromyographic data, wherein the signal characteristic parameter at least comprises a time domain characteristic parameter and/or a frequency domain characteristic parameter of the target electromyographic signal.

As an optional implementation manner, in the first aspect of the embodiments of the present application, the determining the driving voltage input to the pulse output circuit according to the muscle fatigue level includes:

determining a massage mode and/or a massage gear matched with the muscle fatigue grade;

and determining the driving voltage input to the pulse output circuit according to the massage mode and/or the massage gear.

controlling the massage equipment to enter a standby state, wherein the massage equipment does not output massage pulses or outputs minimum massage pulses of the massage equipment in the standby state;

the acquiring of the muscle state data of the current massage part comprises:

acquiring muscle state data of the current massage part in the standby state;

the determining a driving voltage input to a pulse output circuit according to the muscle fatigue level includes:

and controlling the massage equipment to exit the standby state, and determining the driving voltage input to the pulse output circuit according to the muscle fatigue grade.

As an optional implementation manner, in the first aspect of this embodiment of the present application, the acquiring muscle state data of the current massage position includes:

acquiring muscle state data of the current massage part every second preset time;

and adjusting the driving voltage input to the pulse output circuit according to the muscle fatigue grade determined every second preset time.

As an optional implementation manner, in the first aspect of this embodiment of the present application, after the determining the muscle fatigue level of the current massage position according to the muscle state data, the method further includes:

and triggering prompt operation corresponding to the muscle fatigue grade, wherein the prompt operation at least comprises one or more of sound prompt, vibration prompt and network prompt.

A second aspect of the embodiments of the present application discloses a massage apparatus, comprising a muscle state detection module, a controller and a pulse output circuit, wherein the controller is respectively connected with the muscle state detection module and the pulse output circuit,

the muscle state detection module is used for acquiring muscle state related signals of the current massage part;

the controller is used for calculating muscle state data of the current massage part according to the collected muscle state related signals, determining the muscle fatigue grade of the current massage part according to the muscle state data, and determining the driving voltage input to the pulse output circuit according to the muscle fatigue grade;

and the pulse output circuit is used for outputting massage pulses corresponding to the muscle fatigue grade under the action of the driving voltage.

As an optional implementation manner, in the second aspect of the embodiment of the present application, the controller is further configured to input the muscle state data into a trained classification model, and determine the muscle fatigue level of the current massage region according to a classification result output by the classification model.

As another optional implementation manner, in the second aspect of the embodiments of the present application, the muscle status detecting module includes an electromyographic signal sensor and a blood oxygen sensor, the muscle status data includes electromyographic data and blood oxygen data,

the electromyographic signal sensor is used for acquiring the electromyographic signal of the current massage part;

the controller is further used for calculating a signal characteristic parameter of a target electromyographic signal acquired within a first preset time length and taking the signal characteristic parameter as electromyographic data, wherein the signal characteristic parameter at least comprises a time domain characteristic parameter and/or a frequency domain characteristic parameter of the target electromyographic signal;

the blood oxygen sensor is used for sending a detection light signal to the current massage part and collecting a reflection light signal corresponding to the detection light signal;

the controller is further configured to calculate blood oxygen content of the current massage part according to the detected light signal and the reflected light signal, and use the blood oxygen content as blood oxygen data.

A third aspect of the embodiments of the present application discloses another massage apparatus, including:

the acquisition unit is used for acquiring muscle state data of the current massage part;

the determining unit is used for determining the muscle fatigue level of the current massage part according to the muscle state data;

and the output unit is used for determining the driving voltage input to the pulse output circuit according to the muscle fatigue level so as to enable the pulse output circuit to output massage pulses corresponding to the muscle fatigue level under the action of the driving voltage.

A fourth aspect of the embodiments of the present application discloses an electronic device, including:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute all or part of the steps of any one of the massage pulse output methods disclosed in the first aspect of the embodiments of the present application.

A fifth aspect of the embodiments of the present application discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute all or part of the steps of any one of the massage pulse output methods disclosed in the first aspect of the embodiments of the present application.

Compared with the prior art, the embodiment of the application has the following beneficial effects:

in this embodiment, the massage device may include a pulse output circuit, and the massage device may first obtain muscle state data of a current massage portion, then may determine a muscle fatigue level of the current massage portion according to the muscle state data, and finally may determine a driving voltage input to the pulse output circuit according to the muscle fatigue level, so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level under the action of the driving voltage, thereby outputting the massage pulse according to the muscle fatigue state of the current massage portion of the user, so as to specifically alleviate the muscle fatigue of the user, and is beneficial to improving a use effect of the massage device.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used 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 application, 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 schematic view of an application scenario of a massage pulse output method disclosed in an embodiment of the present application;

fig. 2 is a schematic flow chart of a massage pulse output method disclosed in the embodiment of the present application;

fig. 3 is a schematic structural diagram of a massage apparatus disclosed in an embodiment of the present application;

fig. 4 is a schematic flow chart of another massage pulse output method disclosed in the embodiments of the present application;

fig. 5 is a schematic flow chart of another massage pulse output method disclosed in the embodiments of the present application;

fig. 6 is a schematic flow chart of another massage pulse output method disclosed in the embodiments of the present application;

fig. 7 is a modular schematic view of a massage apparatus as disclosed in embodiments of the present application;

fig. 8 is a schematic block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the embodiments of the present application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The embodiment of the application discloses a massage pulse output method, massage equipment, electronic equipment and a storage medium, and the massage pulse output method can output massage pulses according to muscle fatigue states of users, so that the muscle fatigue of the users is relieved in a targeted manner, and the using effect of the massage equipment is improved. The following detailed description is made with reference to the accompanying drawings.

Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a massage pulse output method disclosed in the embodiment of the present application, including a user 10 and a massage apparatus 20, where the massage pulse output method can be applied to the massage apparatus 20. When the user 10 massages with the massage device 20, the massage device 20 may act on the current massage part 11 of the user 10, for example, output massage pulses to the current massage part 11 through the electrode pads 21, so as to relieve muscle fatigue of the current massage part 11. It is to be understood that the massage device 20 shown in fig. 1 is a neck massager outputting electric pulses, which is merely an example and does not constitute a limitation on the specific device type of the massage device 20 in the embodiment of the present application.

In the embodiment of the present application, the massage apparatus 20 may further include a massage pulse output circuit, not shown. When the user 10 massages with the massage apparatus 20, the massage apparatus 20 may first acquire the muscle state data of the current massage site 11, which may include myoelectric data, blood oxygen data, etc., so that the muscle fatigue state of the current massage site 11 may be accurately known. Then, the massage device 20 can determine the muscle fatigue level of the current massage portion 11 according to the muscle state data, for example, by machine learning (algorithm such as classification, clustering, etc.), threshold judgment (e.g., setting a threshold to judge the muscle fatigue level to which the muscle state data belongs), and the like. Finally, the massage device 20 may determine a driving voltage to be inputted to the pulse output circuit according to the determined muscle fatigue level, so that the pulse output circuit may output a massage pulse corresponding to the muscle fatigue level to the current massage site 11 through the electrode sheet 21 under the action of the driving voltage, thereby specifically relieving the muscle fatigue at the current massage site 11 and enhancing the use effect of the massage device 20.

Referring to fig. 2, fig. 2 is a schematic flow chart of a massage pulse output method disclosed in an embodiment of the present application, which can be applied to the massage apparatus described above, and the massage apparatus can include a pulse output circuit. As shown in fig. 2, the massage pulse output method may include the steps of:

202. and acquiring the muscle state data of the current massage part.

In the embodiment of the application, when the user uses the massage device to massage, the part acted on by the massage device on the user is the current massage part. Illustratively, the massage apparatus may be a neck massager, a waist massager, a whole body massager, or the like, but is not limited thereto. For example, for a neck massage apparatus with electrode pads, a part of a user contacting with the electrode pads of the neck massage apparatus may be a current massage part, and the neck massage apparatus may output massage pulses to the current massage part through the electrode pads, thereby stimulating neck muscles to relieve muscle fatigue; for another example, for a neck massage apparatus with a vibration module, a part of the user contacting with the vibration module of the neck massage apparatus can be used as a current massage part, and the neck massage apparatus can control the vibration module to vibrate or roll by massage pulses, so as to massage neck muscles to relieve muscle fatigue.

When the massage device is in contact with the current massage part of the user, the muscle state data of the current massage part can be acquired first. For example, the muscle status data of the current massage site may include electromyography data, blood oxygen data, and the like, wherein the electromyography data may be used to represent an electromyography signal (a very weak nerve electrical signal) of the current massage site, and the blood oxygen data may be used to represent a blood oxygen content of the current massage site. By acquiring the muscle state data such as the myoelectric data, the blood oxygen data and the like, the massage equipment can accurately determine the muscle fatigue state of the current massage part, thereby realizing targeted massage.

204. And determining the muscle fatigue grade of the current massage part according to the muscle state data.

In the embodiment of the application, the muscle fatigue state can be divided into a plurality of (for example, 5, 10, etc.) muscle fatigue levels, and each muscle fatigue level can correspond to different massage modes (for example, different massage gears, massage techniques, etc.), so that the massage modes can be adaptively adjusted according to different muscle fatigue levels, and the massage effect of the massage device is improved. In an embodiment, a large amount of muscle state data with known muscle fatigue levels can be classified and learned in advance as samples in a machine learning manner to obtain a trained classification model, and then the muscle state data obtained in the step 202 can be input into the classification model to determine the muscle fatigue level of the current massage part. In another embodiment, a large amount of unlabeled muscle state data can be used as samples for cluster learning in advance in a machine learning manner to obtain a trained cluster model, and then the obtained muscle state data can be input into the cluster model to determine the muscle fatigue level of the current massage part.

In still another embodiment, threshold judgment can be further performed on the acquired muscle state data according to a preset threshold value, so as to determine the muscle fatigue level corresponding to the muscle state data. For example, for each muscle fatigue level, a corresponding upper threshold and a corresponding lower threshold may be set in advance, and when the acquired muscle state data is between the upper threshold and the lower threshold of a certain level, the level may be determined as the muscle fatigue level corresponding to the muscle state data, that is, the muscle fatigue level of the current massage part. It is understood that when the muscle state data is more than one type, the muscle fatigue level of the current massage part can be determined uniquely according to the muscle state data by setting a priority type, a composite judgment mode and the like.

206. And determining a driving voltage to be input to a pulse output circuit according to the muscle fatigue level so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level by the driving voltage.

Specifically, after determining the muscle fatigue level of the current massage part, the massage device may query a preset driving voltage output rule corresponding to each muscle fatigue level, and determine a driving voltage corresponding to the muscle fatigue level of the current massage part, where the driving voltage may be used to be input to a pulse output circuit of the massage device, so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level under the action of the driving voltage. It can be understood that the driving voltage may be a periodic square wave voltage signal, so that the pulse output circuit can output a constant massage pulse; other periodic voltage signals or non-periodic voltage signals can be adopted, so that the pulse output circuit can output massage pulses with different massage effects.

The massage pulse may be a current pulse signal output by a pulse output circuit of the massage device. For example, for a massage device with electrode pads, the massage pulses may be directly output through the electrode pads. The massage pulse can also be a pulse signal for driving the vibration module to vibrate, and for the massage equipment with the vibration module, the massage pulse can be used for driving the vibration module to vibrate or roll, so that the massage of the current massage part is realized.

To more clearly describe the massage pulse output method described in the above embodiments, please refer to fig. 3, and fig. 3 is a schematic structural diagram of a massage apparatus disclosed in the embodiments of the present application. As shown in fig. 3, the massage apparatus may include a muscle state detection module 301, a controller 302, and a pulse output circuit 303, and the controller 302 may be connected to the muscle state detection module 301 and the pulse output circuit 303, respectively. The muscle state detecting module 301 may be configured to collect a muscle state related signal of a current massage area, and transmit the muscle state related signal to the controller 302. The controller 302 may calculate muscle state data of the current massage site according to the muscle state related signal, determine a muscle fatigue level of the current massage site according to the muscle state data, and determine a driving voltage input to the pulse output circuit 303 according to the muscle fatigue level. The pulse output circuit 303 is supplied with power from a power supply 304, and outputs a massage pulse corresponding to the muscle fatigue level through an electrode pad 305 by the driving voltage.

Therefore, by implementing the massage pulse output method described in the above embodiment, the muscle fatigue state of the current massage part of the user can be accurately obtained, and the massage pulse is output according to the obtained muscle fatigue state, so as to pertinently relieve the muscle fatigue of the user, thereby not only avoiding that the user mistakenly sets the massage device because the user does not know the muscle fatigue state of the user, but also saving the setting time of the user, and being beneficial to improving the use effect of the massage device.

Referring to fig. 4, fig. 4 is a schematic flow chart of another massage pulse output method disclosed in the embodiment of the present application, which can be applied to the massage apparatus described above, and the massage apparatus can include a pulse output circuit. As shown in fig. 4, the massage pulse output method may include the steps of:

402. and acquiring the muscle state data of the current massage part.

Specifically, the muscle state data may include myoelectric data of the current massage device and blood oxygen data.

404. The muscle state data is input into a trained classification model.

In the embodiment of the application, the massage equipment can acquire a trained classification model from a local storage and input the muscle state data into the classification model; the muscle state data can also be transmitted to the service equipment in the cloud end, so that the service equipment inputs the muscle state data into the classification model stored in the cloud end. The classification model may be a classification model obtained by training a large amount of muscle state data in advance, and the classifiers used in the classification model may include a bayesian classifier, an SVM (Support Vector Machine) classifier, and the like.

In an embodiment, when the classification model needs to be trained, sample characteristic parameters may be extracted from sample data, where the sample data carries muscle fatigue level labels, the muscle fatigue state labels may correspond to multiple (e.g., 5, 10, etc.) muscle fatigue levels, and the sample data may include sample electromyographic data and sample blood oxygen data; then, the sample characteristic parameters and the corresponding muscle fatigue grade labels can be input into a classification model to be trained, and the estimated muscle fatigue grade corresponding to the sample characteristic parameters is output through the classification model to be trained; finally, the loss can be calculated according to the muscle fatigue level label and the estimated muscle fatigue level (namely, the loss value is calculated through a loss function), and the parameters of the classification model to be trained are adjusted according to the calculated loss.

For example, taking an SVM classifier as an example, a sample feature parameter extracted from sample data carrying a muscle fatigue level tag may constitute a feature vector x, a corresponding muscle fatigue level tag may constitute a result vector y, and a parameter vector ω is constructed according to formula (1.1):

y(x)＝ω^Ttheta (x), x ∈ R formula (1.1)

To find the hyperplane W such that the separation ω of the feature vector x from the hyperplane W is maximized, where ω is^TFor the transpose of the parameter vector ω, θ (x) is a kernel function for tuning parameters, and is not limited in particular here. That is, the purpose of the SVM classifier may be to find the following formula (1.2):

It can be understood that, since the SVM classifier is a binary classifier (i.e. the output can only be yes or no), multiple classifiers can be implemented by combining multiple SVM classifiers, or by merging the solutions of multiple parameter vectors ω into the same optimization problem, so as to implement division of more than 2 muscle fatigue levels.

In another embodiment, the sample data may further have a personal information tag (such as age level, gender, body fat range, etc.), so that when the classification model needs to be trained, the sample feature parameters may be extracted from the sample data carrying the same personal information tag. Illustratively, a certain number (e.g., 100, 1000, etc.) of muscle state data of test subjects in the same age group, with the same gender, and in the same body fat range may be collected as sample data. It is understood that, when the sample data is collected, a muscle fatigue state label may be marked on each muscle state data according to the muscle fatigue state of the test object, and the muscle fatigue state label may correspond to a plurality of (e.g., 5, 10, etc.) muscle fatigue levels.

On the basis, the classification model after training corresponds to a specific personal information label, so that when the massage equipment inputs the muscle state data of the current massage part into the trained classification model, the personal information of the user corresponding to the muscle state data can be obtained firstly, then the classification model matched with the personal information of the user is determined according to the personal information of the user, the muscle state data is input into the classification model matched with the personal information of the user, and the muscle fatigue grade of the current massage part is determined according to the classification result output by the target classification model in the subsequent step. The personal information of the user may correspond to a uniquely determined target personal information tag, and the target classification model is a classification model trained by sample data carrying the target personal information tag. For example, if the personal information corresponding to the muscle state data of the current massage region is "age 22", "sex male" and "body fat percentage 15%", the personal information tag corresponding to the personal information may be determined, and then the classification model trained using sample data carrying the same personal information tag (i.e., the muscle state data collected from the test subjects whose personal information is "age 22", "sex male" and "body fat percentage 15%") may be acquired. Further, the muscle state data of the current massage region may be inputted into the classification model to determine the muscle fatigue level of the current massage region according to the classification result outputted from the classification model in the next step.

By implementing the method, different classification models can be adaptively provided according to personal information of different users, so that the muscle state data of the users can be more accurately classified, the accuracy of judging the muscle fatigue level of the users is improved, the accuracy of outputting massage pulses is improved, and the using effect of the massage equipment is further improved.

406. And determining the muscle fatigue grade of the current massage part according to the classification result output by the classification model.

Specifically, the classification model may classify the muscle state data of the current massage region into a uniquely determined prediction classification, that is, the muscle state data has the highest possibility of belonging to the prediction classification, so that the muscle fatigue level corresponding to the prediction classification may be used as the muscle fatigue level of the current massage region. Illustratively, the above muscle fatigue levels may be represented by numbers, such as level 1, level 2 … …, level 5, etc., each level corresponding to a different, progressively different muscle fatigue state; the massage device can also be described by 'light fatigue', 'moderate fatigue', 'severe fatigue' and the like to intuitively reflect the muscle fatigue degree of the current massage part of the user, so that the user is helped to improve the alertness of the user and prompt the user to massage and rest in time.

408. And determining a driving voltage to be input to a pulse output circuit according to the muscle fatigue level so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level by the driving voltage.

Wherein step 408 is similar to step 206 described above.

As an alternative embodiment, the massage apparatus may further determine a massage pattern and/or a massage shift that matches the muscle fatigue level after determining the muscle fatigue level of the current massage site, and then may determine the driving voltage input to the pulse output circuit according to the massage pattern and/or the massage shift. The massage modes can include different massage manipulations (such as aiming at different acupuncture points, aiming at different parts, adopting different pulse change rules and the like), a cyclic massage period, single cyclic massage times and the like; the massage gears can comprise different massage pulse current gears, voltage gears and the like. By matching the massage modes and/or massage gears corresponding to the muscle fatigue levels, the massage pulses for different muscle fatigue levels can be accurately determined, and verifiable outputs (such as a prompt for the user to know the massage mode and/or massage gear currently used) can be provided, so that the user can timely know and adjust the output massage pulses as required, and the massage effect of the massage device is further improved.

Therefore, by implementing the massage pulse output method described in the above embodiment, the muscle fatigue state of the current massage part of the user can be accurately classified through the classification model to determine the muscle fatigue level of the current massage part, so that the massage pulse can be output in a targeted manner; in addition, different classification models can be adaptively provided for different users, so that the muscle state data of the users can be classified more accurately, the accuracy of judging the muscle fatigue level of the users is improved, the accuracy of outputting massage pulses is improved, and the using effect of the massage equipment is further improved.

Referring to fig. 5, fig. 5 is a schematic flow chart of another massage pulse output method disclosed in the embodiment of the present application, which can be applied to the massage apparatus described above, and the massage apparatus can include a pulse output circuit. As shown in fig. 5, the massage pulse output method may include the steps of:

502. and acquiring the muscle state data of the current massage part.

In an embodiment, when the massage device acquires the muscle state data of the current massage part, the sensor may be used to acquire a muscle state related signal (e.g., a myoelectric related signal, a blood oxygen related signal, etc.) of the current massage part, and further, the acquired muscle state related signal may be calculated to acquire the muscle state data of the current massage part. For example, the massage device may be provided with an electromyographic signal sensor, so that an electromyographic signal of a current massage part within a preset time period may be collected by the electromyographic signal sensor; then, the electromyographic signal sensor may transmit the collected electromyographic signals to a controller built in the massage device, so that the controller may calculate (e.g., extract a characteristic value, count a characteristic quantity, etc.) the electromyographic signals to obtain electromyographic data of the current massage part, and the electromyographic data is used as muscle state data for realizing targeted massage in the next step. For example, the massage device may also be provided with a blood oxygen sensor, and it is understood that, when the blood oxygen related signal is collected, the blood oxygen sensor used may be a light detector, that is, the blood oxygen data of the current massage part may be determined as the muscle state data by emitting a detection light signal (such as a deoxyhemoglobin absorption peak, a light signal with a wavelength of 760nm, and oxyhemoglobin, a light signal with a wavelength of 850nm, etc.) to the current massage part and collecting a reflected light signal corresponding to the detection light signal, and using a difference between the detection light signal and the reflected light signal (such as a light intensity difference caused by hemoglobin light absorption). That is, the myoelectric signal may be an electric signal, and the blood oxygen related signal may be an optical signal.

As an optional implementation manner, the massage device may be further connected to an independent monitoring device (e.g., a smart band, a pillow with a monitoring sensor, etc.), and obtains muscle state data of the current massage part from the monitoring device. For example, when a user uses a massage device to perform massage, a data acquisition request may be sent to the monitoring device, where the data acquisition request may include a location identifier of a current massage location; when the monitoring equipment receives the data acquisition request, the monitoring equipment can acquire monitoring data matched with the position identification and send the monitoring data to the massage equipment; finally, the massage device may receive the monitoring data and extract the muscle state data of the current massage site from the monitoring data. For example, a massage device (taking a massage stick as an example) may establish a wireless connection (such as a bluetooth connection, a Wi-Fi connection, and the like) with the smart bracelet, and when a user massages with the massage stick, the user may first detect a part to be massaged through the smart bracelet to obtain muscle state data of the user, and then the massage stick may send a data acquisition request to the smart bracelet to acquire the muscle state data. For another example, a massage device (for example, a neck massage apparatus) may be connected to a pillow with a monitoring sensor, when a user uses the neck massage apparatus to massage, the user may first inquire whether the user has used the pillow recently (e.g., within 10 minutes, within 30 minutes, etc.), and if the user has used the pillow, the user may send a data acquisition request to the pillow to acquire the monitoring data acquired by the pillow through the monitoring sensor, and extract the neck muscle status data therefrom.

504. The muscle state data is input into a trained classification model.

506. And determining the muscle fatigue grade of the current massage part according to the classification result output by the classification model.

Step 504 and step 506 are similar to step 404 and step 406, and are not described again here.

508. And determining a massage mode and/or a massage gear matched with the muscle fatigue level.

For example, the massage modes may include different massage manipulations (e.g., for different acupoints, for different parts, using different pulse variation rules, etc.), cyclic massage periods, single cyclic massage times, etc.; the massage gears can comprise different massage pulse current gears, voltage gears and the like.

510. And determining a driving voltage to be input to a pulse output circuit according to the massage mode and/or the massage gear so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level under the action of the driving voltage.

In the embodiment of the application, by matching the massage modes and/or massage gears corresponding to the muscle fatigue levels, the massage pulses for different muscle fatigue levels can be accurately determined, and meanwhile, the output which can be checked and traced can be provided, for example, the massage modes and/or massage gears currently adopted by the user can be prompted in a voice or vibration mode, so that the user can know the massage pulses in time and adjust the output massage pulses according to the needs.

Therefore, by implementing the massage pulse output method described in the above embodiment, the muscle state data of the current massage part can be obtained by calculating by collecting the muscle state related signals of the current massage part, so that the muscle fatigue level can be accurately determined to output the massage pulse in a targeted manner; meanwhile, the output which can be checked and traced can be provided, so that the user can know the massage pulse in time and adjust the output according to the requirement, and the massage effect of the massage equipment is further improved.

Referring to fig. 6, fig. 6 is a schematic flow chart of another massage pulse output method disclosed in the embodiment of the present application, which can be applied to the massage apparatus described above, and the massage apparatus can include a pulse output circuit. As shown in fig. 6, the massage pulse output method may include the steps of:

602. the massage apparatus is controlled to enter a standby state in which the massage apparatus does not output a massage pulse or outputs a minimum massage pulse of the massage apparatus.

In the embodiment of the application, when the massage device is started up, or after the massage device completes one massage, the massage device can enter a standby state to obtain the muscle state data of the current massage part within a preset time, so as to determine whether the current massage part needs to be massaged, and determine the massage pulse corresponding to the muscle fatigue level of the current massage part to output when the massage is needed. Wherein, the massage device can output no massage pulse or the minimum massage pulse of the massage device in the standby state, so as to protect the user as far as possible when the massage pulse to be output is not determined, and reduce unnecessary power consumption of the massage device.

604. And acquiring the electromyographic signals of the current massage part by an electromyographic signal sensor in a standby state.

In a standby state, because the massage equipment does not input driving voltage to the pulse output circuit, output components of the massage equipment, such as an electrode plate, a massage head and the like, do not start to work, the state of the massage equipment is relatively stable, and particularly for some massage equipment, such as a massage instrument which outputs electric pulses, the electric pulses are continuously output in the working state, and the sensor is difficult to work normally, so that the sensor can be prevented from being interfered by the massage equipment during working in the standby state, and the electromyographic signals can be collected more favorably.

605. Calculating a signal characteristic parameter of a target electromyographic signal acquired within a first preset time length, and taking the signal characteristic parameter as electromyographic data, wherein the signal characteristic parameter at least comprises a time domain characteristic parameter and/or a frequency domain characteristic parameter of the target electromyographic signal.

In an embodiment, for the electromyographic signals collected by the electromyographic signal sensor, the massage device may intercept a target electromyographic signal collected within a first preset time period (e.g. 1 second, 5 seconds, 10 seconds, etc.), then calculate a signal characteristic parameter of the target electromyographic signal within the first preset time period, and use the signal characteristic parameter as the electromyographic data, that is, as the muscle state data of the current massage part. The signal characteristic parameters at least include time-domain characteristic parameters (such as integral myoelectric values, root mean square values, mean absolute values, slope change rates, zero crossing rates, window lengths, and the like) and/or frequency-domain characteristic parameters (such as mean power frequencies, median frequencies, and the like) of the target myoelectric signal. It can be understood that the electromyographic signal is a non-stationary time-varying signal, and after the time domain characteristic parameter is extracted from the electromyographic signal, the time domain characteristic parameter is converted into the frequency domain through the fourier transform, and then the frequency domain characteristic parameter is extracted.

It should be noted that, when the above steps 604 and 605 are executed, the massage apparatus may also execute the following

steps

606 and 607 at the same time to acquire the blood oxygen data of the current massage part at the same time as acquiring the myoelectric data of the current massage part.

606. Sending a detection light signal to the current massage part through the blood oxygen sensor in a standby state, and collecting a reflection light signal corresponding to the detection light signal.

In a standby state, because the massage equipment does not input driving voltage to the pulse output circuit, the output components of the massage equipment, such as the electrode plates, the massage heads and the like, do not start to work, the state of the massage equipment is relatively stable, and particularly for some massage equipment, such as a massage instrument which outputs electric pulses, the electric pulses are continuously output in the working state, and the sensor is difficult to work normally, so that the sensor can be prevented from being interfered by the massage equipment during working in the standby state, and the collection of blood oxygen signals is more facilitated.

607. And calculating the blood oxygen content of the current massage part according to the detection light signal and the reflected light signal, and taking the blood oxygen content as blood oxygen data.

In one embodiment, the massage device may obtain the blood oxygen content of the current massage portion through analysis and calculation for the detected light signal emitted by the blood oxygen sensor and the collected reflected light signal, and use the blood oxygen content as blood oxygen data, i.e. as muscle status data of the current massage portion. It is understood that the muscle state data may only include electromyographic data, only include blood oxygen data, and include both electromyographic data and blood oxygen data, or other data having a reference meaning to the muscle fatigue state.

For example, referring to fig. 3 together, in the massage apparatus shown in fig. 3, the muscle state detection module 301 may include an electromyographic signal sensor 3011 and a blood oxygen sensor 3012, so that the electromyographic signal collected by the electromyographic signal sensor 3011 for the current massage part may be transmitted to the controller 302, so that the controller 302 may calculate the signal characteristic parameter of the target electromyographic signal collected within the first preset time period as the electromyographic data; meanwhile, the detected light signal and the reflected light signal emitted by the blood oxygen sensor 3012 can be converted into electric signals and also transmitted to the controller 302, so that the controller 302 can calculate the blood oxygen content of the current massage part to be used as blood oxygen data. Further, the controller 302 may input the muscle state data (including myoelectric data and blood oxygen data) into a trained classification model, and determine the muscle fatigue level of the current massage region according to the classification result output by the classification model.

As an alternative embodiment, after the massage apparatus is powered on and turned on, and after the massage apparatus is confirmed to be in contact with the current massage portion of the user, the above steps 604 to 607 are executed, so that the muscle state related signals of the current massage portion can be collected only when the user is ensured to wear the massage apparatus correctly, which is beneficial to ensuring the accuracy of the acquired muscle state data. For example, a time threshold (e.g., 5 seconds, 10 seconds, etc.) may be preset for the massage device, and when the time threshold is exceeded after the user correctly wears and turns on the massage device, the electromyographic signal and the blood oxygen related signal of the current massage portion are acquired within the first preset time period, and then the electromyographic data (including time domain characteristic parameters, frequency domain characteristic parameters, etc.) and the blood oxygen data (including blood oxygen content, etc.) of the current massage portion may be calculated and obtained as the muscle state data of the current massage portion.

As an alternative embodiment, the massage device may re-acquire the muscle state data of the current massage part every second preset time period, that is, re-execute the above steps 604 to 607, so that after the massage device is used for massaging for the second preset time period, it may be determined whether the muscle fatigue state of the current massage part is relieved, and according to the re-determined muscle fatigue level, adjust the driving voltage input to the pulse output circuit, so that the pulse output circuit adaptively outputs the massage pulse, thereby improving the massage effect of the massage device.

608. And inputting the muscle state data into the trained classification model, wherein the muscle state data comprises the electromyography data and the blood oxygen data.

610. And determining the muscle fatigue grade of the current massage part according to the classification result output by the classification model.

Step 608 and step 610 are similar to step 404 and step 406, and are not described herein again.

612. And triggering prompt operation corresponding to the muscle fatigue grade, wherein the prompt operation at least comprises one or more of sound prompt, vibration prompt and network prompt.

Illustratively, the massage device may output an alert sound corresponding to the muscle fatigue level through a built-in microphone, and the alert sound may include an alert sound effect, an alert voice, and the like.

For example, the massage device may output vibration prompts corresponding to the muscle fatigue levels through a built-in vibration motor, such as vibration prompts with different frequencies, vibration prompts with different vibration intensities, and the like.

For example, the massage device may generate prompt information corresponding to the muscle fatigue level, transmit the prompt information to a communication device connected to the massage device, for example, a mobile phone of the user, and output the prompt information by a system notification, an application notification, an applet notification, or the like.

By implementing the method, the user can be reminded to know the muscle fatigue state of the current massage part, so that the user is prompted to massage and relax in time, and the massage effect is improved by matching with massage equipment.

614. And controlling the massage equipment to exit the standby state, and determining the driving voltage input to the pulse output circuit according to the muscle fatigue level so that the pulse output circuit outputs massage pulses corresponding to the muscle fatigue level under the action of the driving voltage.

Step 614 is similar to step 408 described above, and is not described herein again.

It can be seen that, implementing the massage pulse output method described in the above embodiment, it is possible to protect the user as much as possible while reducing unnecessary power consumption of the massage apparatus by setting the massage apparatus not to output a massage pulse or to output a minimum massage pulse of the massage apparatus in a standby state, and when a massage pulse to be output is not determined; in addition, the user can be reminded to massage and relax in time through various ways, and the massage effect can be improved by matching with massage equipment.

Referring to fig. 7, fig. 7 is a schematic block diagram of a massage apparatus according to an embodiment of the present disclosure, which may be applied to the massage apparatus described above, and the massage apparatus may include a pulse output circuit. As shown in fig. 7, the massage apparatus may include an acquisition unit 701, a determination unit 702, and an output unit 703, wherein:

an obtaining unit 701 configured to obtain muscle state data of a current massage part;

a determining unit 702, configured to determine a muscle fatigue level of the current massage region according to the muscle state data;

an output unit 703, configured to determine a driving voltage to be input to the pulse output circuit according to the muscle fatigue level, so that the pulse output circuit outputs a massage pulse corresponding to the muscle fatigue level under the action of the driving voltage.

By adopting the massage equipment described in the embodiment, the muscle fatigue state of the current massage part of the user can be accurately acquired, and the massage pulse is output according to the acquired muscle fatigue state so as to pertinently relieve the muscle fatigue of the user, thereby not only avoiding that the user mistakenly sets the massage equipment because the user does not know the muscle fatigue state of the user, but also saving the setting time of the user and being beneficial to improving the use effect of the massage equipment.

As an alternative embodiment, the determining unit 702 in fig. 7 may be specifically configured to input the muscle state data acquired by the acquiring unit 701 into a trained classification model, and determine the muscle fatigue level of the current massage region according to the classification result output by the classification model.

By adopting the massage device described in the above embodiment, the muscle fatigue state of the current massage part of the user can be accurately classified through the classification model to determine the muscle fatigue level of the current massage part, so that the massage pulse can be output in a targeted manner.

As an alternative embodiment, the massage apparatus in fig. 7 may further include a first training unit, a second training unit, and a third training unit, which are not shown in the figure, and the training units are configured to complete training of the classification model before the determining unit 702 inputs the muscle state data acquired by the acquiring unit 701 into the trained classification model, wherein:

the training device comprises a first training unit, a second training unit and a third training unit, wherein the first training unit is used for extracting sample characteristic parameters from sample data, the sample data carries a muscle fatigue grade label, and the sample data comprises sample electromyography data and sample blood oxygen data;

the second training unit is used for inputting the sample characteristic parameters and the corresponding muscle fatigue grade labels into a classification model to be trained and outputting the estimated muscle fatigue grade corresponding to the sample characteristic parameters through the classification model to be trained;

and the third training unit is used for calculating loss according to the muscle fatigue grade label and the estimated muscle fatigue grade, and adjusting the parameters of the classification model to be trained according to the loss.

As an optional implementation manner, the sample data may further carry a personal information tag, and the first training unit may be specifically configured to extract sample characteristic parameters from sample data carrying the same personal information tag;

the determining unit 702 in fig. 7 may specifically include an information acquiring subunit and a level determining subunit, which are not shown in the drawing, wherein:

an information acquisition subunit configured to acquire personal information corresponding to the muscle state data acquired by the acquisition unit 701;

and the grade determining subunit is used for determining a target personal information label corresponding to the personal information, inputting the muscle state data into a trained target classification model, and determining the muscle fatigue grade of the current massage part according to a classification result output by the target classification model, wherein the target classification model is a classification model which completes training through sample data carrying the target personal information label.

As an optional implementation manner, the information acquiring subunit may be further configured to acquire personal information of the user before the acquiring unit 701 acquires the muscle state data of the current massage part;

the determining unit 702 may specifically determine a classification model matching the personal information of the user according to the personal information of the user when inputting the muscle state data acquired by the acquiring unit 701 into a trained classification model, and input the muscle state data into the classification model matching the personal information of the user.

By adopting the massage equipment described in the embodiment, different classification models can be adaptively provided for different users, so that the muscle state data of the users can be more accurately classified, the accuracy of judging the muscle fatigue level of the users is improved, the accuracy of outputting massage pulses is improved, and the using effect of the massage equipment is further improved.

As an optional implementation manner, the muscle state data may include electromyogram data and blood oxygen data, and the acquiring unit 701 may include a first signal acquiring subunit, a second signal acquiring subunit, a first signal calculating subunit, and a second signal calculating subunit, where:

the first signal acquisition subunit is used for acquiring the electromyographic signals of the current massage part through an electromyographic signal sensor;

the second signal acquisition subunit is used for sending a detection light signal to the current massage part through the blood oxygen sensor and acquiring a reflected light signal corresponding to the detection light signal;

the first signal calculation subunit is used for calculating the electromyographic signals to obtain electromyographic data of the current massage part;

and the second signal calculating subunit is used for calculating the blood oxygen content of the current massage part according to the detection light signal and the reflected light signal and taking the blood oxygen content as blood oxygen data.

As an optional implementation manner, the first signal calculating subunit may be specifically configured to calculate a signal characteristic parameter of a target electromyographic signal acquired within a first preset time period, and use the signal characteristic parameter as the electromyographic data, where the signal characteristic parameter may at least include a time-domain characteristic parameter and/or a frequency-domain characteristic parameter of the target electromyographic signal.

By adopting the massage device described in the above embodiment, the muscle state data of the current massage part can be obtained by calculating by collecting the muscle state related signal of the current massage part, so that the muscle fatigue level can be accurately determined to output the massage pulse in a targeted manner.

As an alternative implementation, the output unit 703 in fig. 7 may include a first determining subunit and a second determining subunit, which are not shown in the drawing, where:

a first determining subunit, configured to determine a massage pattern and/or a massage gear that matches the muscle fatigue level determined by the determining unit 702;

and the second determining subunit is used for determining the driving voltage input to the pulse output circuit according to the massage mode and/or the massage gear.

By matching the massage patterns and/or massage gears corresponding to the muscle fatigue levels, the massage pulses for different muscle fatigue levels can be accurately determined, and simultaneously, an output which can be checked and traced can be provided, for example, the massage patterns and/or massage gears currently adopted by the user can be prompted in a voice or vibration mode, so that the user can know the massage pulses in time and adjust the output massage pulses as required.

As an alternative embodiment, the massage apparatus in fig. 7 may further include a standby unit, not shown, for controlling the massage apparatus to enter a standby state before the acquiring unit 701 acquires the muscle state data of the current massage part, and the massage apparatus does not output the massage pulse or outputs the minimum massage pulse of the massage apparatus in the standby state;

the acquiring unit 701 may be specifically configured to acquire muscle state data of a current massage part in a standby state;

the output unit 703 may be specifically configured to control the massage device to exit the standby state, and determine the driving voltage input to the pulse output circuit according to the muscle fatigue level determined by the determining unit 702.

With the massage apparatus described in the above embodiment, it is possible to protect the user as much as possible when the massage pulse to be output is not determined, while reducing unnecessary power consumption of the massage apparatus.

As an optional implementation manner, the obtaining unit 701 in fig. 7 may be specifically configured to obtain muscle state data of the current massage part every second preset time period;

the output unit 703 may be specifically configured to adjust the driving voltage input to the pulse output circuit according to the muscle fatigue level determined every second preset time period.

With the massage device described in the above embodiment, after the massage device is used for massaging for the second preset time period, it can be determined whether the muscle fatigue state of the current massage part is relieved, and the driving voltage input to the pulse output circuit is adjusted according to the newly determined muscle fatigue level, so that the pulse output circuit adaptively outputs massage pulses, and the massage effect of the massage device is improved.

As an optional implementation manner, the massage apparatus in fig. 7 may further include a prompting unit, not shown, configured to trigger a prompting operation corresponding to the muscle fatigue level after the determining unit 702 determines the muscle fatigue level of the current massage portion according to the muscle state data acquired by the acquiring unit 701, where the prompting operation includes at least one or more of a sound prompt, a vibration prompt, and a network prompt.

By adopting the massage equipment described in the embodiment, the user can be reminded to know the muscle fatigue state of the current massage part, so that the user is prompted to massage and relax in time, and the massage effect is improved by matching with the massage equipment.

Referring to fig. 8, fig. 8 is a schematic block diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 8, the electronic device may include:

a memory 801 in which executable program code is stored;

a processor 802 coupled with the memory 801;

the processor 802 calls the executable program code stored in the memory 801, and may execute all or part of the steps of any one of the massage pulse output methods described in the above embodiments.

In addition, the embodiment of the present application further discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute all or part of the steps of any one of the massage pulse output methods described in the above embodiments.

In addition, the embodiments of the present application further disclose a computer program product, which when running on a computer, enables the computer to execute all or part of the steps of any one of the massage pulse output methods described in the above embodiments.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The massage pulse output method, the massage device, the electronic device, and the storage medium disclosed in the embodiments of the present application are described in detail above, and specific examples are applied herein to explain the principles and implementations of the present application, and the description of the embodiments above is only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A massage pulse output method is applied to a massage apparatus including a pulse output circuit, and includes:

acquiring muscle state data of a current massage part;

2. The method of claim 1, wherein said determining a muscle fatigue level for the current massage position based on the muscle state data comprises:

3. The method of claim 2, wherein prior to said obtaining muscle state data for a current massage site, the method further comprises:

acquiring personal information of a user;

4. The method of claim 2, wherein prior to said inputting the muscle state data into a trained classification model, the method further comprises:

5. The method of claim 4, wherein the sample data further carries a personal information tag, and the extracting the sample feature parameters from the sample data comprises:

acquiring personal information corresponding to the muscle state data;

6. The method of any one of claims 1 to 5, wherein the muscle status data comprises electromyographic data and blood oxygen data;

7. The method according to claim 6, wherein the calculating the electromyographic signals to obtain electromyographic data of the current massage position comprises:

8. The method of any one of claims 1 to 5, wherein determining the driving voltage input to the pulse output circuit based on the muscle fatigue level comprises:

9. The method of any one of claims 1 to 5, wherein prior to said obtaining muscle status data of the current massage site, the method further comprises:

the acquiring of the muscle state data of the current massage part comprises:

acquiring muscle state data of the current massage part in the standby state;

10. The method of any one of claims 1 to 5, wherein the obtaining muscle state data of the current massage site comprises:

11. The method of any of claims 1 to 5, wherein after said determining a muscle fatigue level of said current massage position from said muscle state data, said method further comprises:

12. A massage device is characterized by comprising a muscle state detection module, a controller and a pulse output circuit, wherein the controller is respectively connected with the muscle state detection module and the pulse output circuit,

13. The massage apparatus of claim 12, wherein the controller is further configured to input the muscle state data into a trained classification model, and determine the muscle fatigue level of the current massage area according to the classification result output by the classification model.

14. The massage apparatus of claim 12, wherein the muscle status detection module comprises an electromyographic signal sensor and a blood oxygen sensor, the muscle status data comprising electromyographic data and blood oxygen data,

15. A massage apparatus, characterized by comprising:

16. An electronic device, comprising:

a memory storing a computer program;

a processor coupled with the memory;

the processor calls the computer program stored in the memory to perform the method of any one of claims 1 to 11.

17. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, wherein the computer program causes a computer to perform the method of any one of claims 1 to 11.