CN114904140A

CN114904140A - Physical therapy equipment, control method thereof and physical therapy system

Info

Publication number: CN114904140A
Application number: CN202210488151.0A
Authority: CN
Inventors: 张彧
Original assignee: Individual
Current assignee: Individual
Priority date: 2022-05-06
Filing date: 2022-05-06
Publication date: 2022-08-16

Abstract

Provided are a physiotherapy apparatus including a plurality of electrode sheets and a controller configured to: acquiring real-time physiological data of a user; acquiring a metabolic index of the user based on the real-time physiological data; acquiring a trend parameter of the metabolic index of the user based on the metabolic index of the user within a first preset time; acquiring a physical therapy strategy corresponding to the user based on the trend parameter of the metabolic index of the user, wherein the physical therapy strategy is used for indicating a physical therapy part, a physical therapy mode and corresponding physical therapy intensity; and outputting corresponding electric stimulation pulses to the body surface of the user by utilizing the electrode plates based on the physiotherapy strategy of the user. The physical therapy strategy is determined through the trend parameters of the metabolic index of the user, accurate electrical stimulation can be provided for the user in a motion state, and the stimulation effect is better.

Description

Physical therapy equipment, control method thereof and physical therapy system

Technical Field

The application relates to the technical field of wearable equipment, in particular to physiotherapy equipment, a control method of the physiotherapy equipment and a physiotherapy system.

Background

The physical therapy equipment is equipment which acts physical factors on a human body to improve the human body, and common physical factors comprise electricity, sound, light, magnetism, water, pressure and the like. Among them, electrotherapy is one of the most commonly used methods among physical therapy methods. Along with the development of medical technology, electrotherapy is increasingly applied to medicine.

Among them, EMS (electrical Stimulation technology) is one of electrotherapy, and conducts low and medium frequency pulse current to a motion system by simulating human brain waves to drive Muscle contraction.

RF (Radio Frequency, Radio Frequency technology) is also one of electrotherapy, and by converting electromagnetic energy into heat energy, a Radio Frequency thermoelectric effect is generated on elastomers at different subcutaneous depths, so that blood circulation of subcutaneous elastic tissues is accelerated, collagen components in the elastomers are stimulated to fully participate in metabolism and regeneration, and tightening and wrinkle removal effects are achieved.

Patent CN109999435B discloses an EMS-based fitness method, which includes: acquiring physiological parameter data of a user; determining a motion parameter according to the physiological parameter data; generating a control signal according to the motion parameter; outputting a pulse signal in response to the control signal; and outputting an electrical stimulation signal according to the pulse signal. The exercise parameters include, for example, frequency, pulse width, intensity, ramp-up time, exercise/rest time. However, this method does not consider the dynamic change process of the physiological parameter data, and especially during the exercise process of the user, the change trend of the exercise intensity of the user cannot be objectively reflected according to the physiological parameter data only, and the exercise intensity of the user directly affects the stimulation effect, and this method cannot provide accurate electrical stimulation to the user in the exercise state.

Therefore, it is desirable to provide a physiotherapy apparatus, a control method thereof, and a physiotherapy system to solve the problems of the prior art.

Disclosure of Invention

The application aims to provide the physiotherapy equipment, the control method of the physiotherapy equipment and the physiotherapy system, so that accurate electrical stimulation is provided for a user in a motion state, and the stimulation effect is better.

The purpose of the application is realized by adopting the following technical scheme:

in a first aspect, the present application provides a physiotherapy apparatus for providing a baseline electrical stimulation physiotherapy function for a user in a state of motion, the physiotherapy apparatus comprising a plurality of electrode pads and a controller configured to:

acquiring real-time physiological data of the user;

acquiring a metabolic index of the user based on the real-time physiological data;

acquiring a trend parameter of the metabolic index of the user based on the metabolic index of the user within a first preset time;

acquiring a physical therapy strategy corresponding to the user based on the trend parameter of the metabolic index of the user, wherein the physical therapy strategy is used for indicating a physical therapy part, a physical therapy mode and corresponding physical therapy intensity;

and outputting corresponding electric stimulation pulses to the body surface of the user by utilizing the electrode plates based on the physiotherapy strategy of the user so as to change the metabolic index of the user.

The technical scheme has the beneficial effects that: the method comprises the steps of obtaining a metabolic index of a user according to real-time physiological data of the user, further obtaining a trend parameter of the metabolic index of the user, further judging the change trend of the exercise intensity of the user, accordingly determining a physical therapy strategy corresponding to the user, and outputting corresponding electrical stimulation pulses to the body surface of the user by utilizing a plurality of electrode plates to change the metabolic index of the user.

The utility model provides a physiotherapy equipment considers, the user is in the motion process, physiological data is in a dynamic change's in-process, the physiotherapy strategy is not direct to be confirmed according to physiological data, but obtain the metabolic index in the first predetermined duration through real-time physiological data, and then obtain the trend parameter of metabolic index, the trend parameter of metabolic index can evaluate the variation tendency of user's exercise intensity in the first predetermined duration, and then, the physiotherapy strategy is confirmed to the trend parameter through user's metabolic index, can provide accurate electro photoluminescence for the user that is in motion state, the stimulation effect is better.

In some alternative embodiments, the physiotherapy mode corresponds to one or more of the following stimulation types: EMS low-frequency myoelectric stimulation, EMS secondary intermediate-frequency smooth muscle stimulation, EMS intermediate-frequency nerve stimulation, EMS intermediate-frequency unbalanced pulse alternating electric field stimulation and RF radio frequency subcutaneous elastic tissue stimulation;

the stimulation parameters for each stimulation type include one or more of: frequency, pulse width, amplitude, waveform, duty cycle, and power.

The technical scheme has the beneficial effects that: EMS low-frequency myoelectric stimulation can improve muscle tolerance, excitability, microcirculation efficiency and nutrition metabolism efficiency, finally greatly improve the basic metabolism rate of the body and improve the metabolism index of a user; EMS intermediate frequency smooth muscle stimulation can perform electric stimulation contraction relaxation motion induction on smooth muscles under the modulation of different frequency waveforms; EMS intermediate-frequency nerve stimulation can act on peripheral nerves extending from spinal cord nerves to perform intermediate-frequency nerve regulation, and the excitation and balance of sympathetic nerves and parasympathetic nerves are modulated respectively by low-frequency direct current composite intermediate-frequency alternating current electric signals in a low-frequency and low-energy induction mode; the stimulation of an EMS intermediate-frequency unbalanced pulse alternating electric field can promote sebum metabolism through the intermediate-frequency alternating pulse electric field and stimulate the efficient absorption of skin on nutrient components; the stimulation of the RF subcutaneous elastic tissue can act on the skin tissue to restore the elasticity of the skin and play the roles of lifting and resisting wrinkles. The physical therapy mode can correspond to a single stimulation type and also can correspond to the synchronous combination of multiple stimulation types, thereby realizing multiple functions.

In some optional embodiments, the controller is further configured to obtain the metabolic index of the user by:

acquiring real-time physiological data of a plurality of sample objects and labeling data of corresponding metabolic indexes of the sample objects, wherein the real-time physiological data of each sample object is obtained by actual measurement or generated by utilizing a generation network of a GAN model;

training by using a preset deep learning model according to the real-time physiological data of the plurality of sample objects and the corresponding labeled data of the metabolic indexes to obtain a metabolic index model;

and inputting the real-time physiological data of the user into the metabolic index model to obtain the metabolic index of the user.

The technical scheme has the beneficial effects that: the preset deep learning model is trained by utilizing the real-time physiological data of the plurality of sample objects and the corresponding metabolic indexes of the sample objects to obtain a metabolic index model, the metabolic index model can be obtained by training a large amount of training data, the corresponding metabolic indexes can be obtained by aiming at prediction of various real-time physiological data, the application range is wide, and the intelligent level is high. Through design, a proper amount of neuron calculation nodes and a multilayer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset deep learning model can be obtained, through learning and tuning of the preset deep learning model, a functional relation from input to output is established, although the functional relation between input and output cannot be found out by 100%, the functional relation can be close to a real incidence relation as far as possible, and therefore the metabolic index model obtained through training can realize analysis processing of real-time physiological data, and the reliability of an analysis result is high.

In some optional embodiments, the controller is further configured to obtain a trend parameter of the metabolic index of the user by:

drawing a metabolic index curve based on the metabolic index of the user within a first preset time length, wherein each point on the metabolic index curve is used for indicating the metabolic index of the user at a corresponding moment;

and obtaining a metabolic index trend parameter curve of the user within the first preset time length by derivation of the metabolic index curve, wherein each point on the metabolic index trend parameter curve is used for indicating a trend parameter of the metabolic index of the user at a corresponding moment.

The technical scheme has the beneficial effects that: the metabolic index trend parameter curve is obtained by carrying out derivation calculation on the metabolic index curve, so that the metabolic index trend parameter of each point on the metabolic index trend parameter curve can be obtained.

In some optional embodiments, the controller is further configured to obtain the therapy strategy corresponding to the user by:

acquiring personal information of the user, wherein the personal information comprises one or more of age, gender, BMI index, body fat rate and medical history;

and acquiring the physical therapy strategy corresponding to the user based on the personal information of the user and the trend parameter of the metabolic index of the user.

The technical scheme has the beneficial effects that: for different users, the applied physical therapy modes, physical therapy intensities and physical therapy durations are different, the stimulation born by users with larger ages and weaker constitutions is limited, the individual difference of the users is also considered in the determination of the physical therapy strategy, when the physical therapy strategy corresponding to the users is determined, the trend parameters of the metabolic indexes of the users are needed to be seen, and the personal information such as the ages, the sexes, the BMI indexes, the body fat ratios and the medical histories of the users are needed to be combined, so that the physical conditions of different users can be considered, and accurate electrical stimulation is further provided for different users.

In some optional embodiments, the controller is further configured to:

when the duration of performing physical therapy on the user by using the current physical therapy strategy reaches a second preset duration, acquiring the metabolic index of the user at the current moment based on the real-time physiological data;

and calculating a difference value between the metabolic index of the user at the current moment and a preset metabolic index, and updating the physiotherapy strategy of the user based on the difference value.

The technical scheme has the beneficial effects that: in the physiotherapy process, the physiotherapy strategy is not constant but in a dynamic updating process, when the duration of one physiotherapy strategy reaches a second preset duration, the difference value between the duration and the preset metabolic index is calculated according to the metabolic index of the user at the current moment, and the physiotherapy strategy of the user is updated according to the difference value.

In some optional embodiments, the physiotherapy strategy is further configured to indicate a threshold value of intensity of physiotherapy corresponding to the physiotherapy mode;

the controller is further configured to output corresponding electrical stimulation pulses to the body surface of the user using the electrode pads in a manner that:

receiving an adjustment operation on the physiotherapy strategy by utilizing interactive equipment;

and when the physical therapy intensity corresponding to the adjusted physical therapy strategy is not greater than the physical therapy intensity threshold value, outputting corresponding electrical stimulation pulses to the body surface of the user by utilizing the electrode plate according to the adjusted physical therapy strategy.

The technical scheme has the beneficial effects that: the user can adjust the physiotherapy tactics, but this adjustment is not unrestricted adjustment, need control at certain within range, and most users do not have audio-visual understanding to physiotherapy intensity, probably can't accomplish accurate regulation and control, through setting up physiotherapy intensity threshold value, only when the physiotherapy intensity that the physiotherapy tactics after the adjustment correspond is not more than physiotherapy intensity threshold value, the adjustment is just effectual, can prevent like this that the user from setting up too high physiotherapy intensity, guarantee user's safety.

In some optional embodiments, the controller is further configured to:

when the physical therapy intensity corresponding to the adjusted physical therapy strategy is greater than the physical therapy intensity threshold value, executing any one of the following operations:

stopping outputting electrical stimulation pulses to the body surface of the user;

and generating prompt information and sending the prompt information to the interactive equipment.

The technical scheme has the beneficial effects that: when the physical therapy intensity corresponding to the adjusted physical therapy strategy is greater than the threshold value of the physical therapy intensity, the output of the electrical stimulation pulse is stopped or prompt information is generated and sent to the interaction device, so that the user can be further prevented from setting the too high physical therapy intensity, and the safety of the user is guaranteed.

In a second aspect, the present application provides a control method of a physiotherapy apparatus for providing a reference electrical stimulation physiotherapy function to a user in a motion state, the physiotherapy apparatus including a plurality of electrode pads and a controller, the method including:

acquiring real-time physiological data of the user;

In some optional embodiments, the obtaining the metabolic index of the user based on the real-time physiological data includes:

training by using a preset deep learning model according to the real-time physiological data of the plurality of sample objects and the labeled data of the corresponding metabolic indexes of the sample objects to obtain a metabolic index model;

In some optional embodiments, the obtaining a trend parameter of the metabolic index of the user based on the metabolic index of the user within a first preset time period includes:

drawing a metabolic index curve based on the metabolic index of the user within a first preset time, wherein each point on the metabolic index curve is used for indicating the metabolic index of the user at a corresponding moment;

In some optional embodiments, the obtaining of the physiotherapy strategy corresponding to the user based on the trend parameter of the metabolic index of the user includes:

In some optional embodiments, the method further comprises:

when the duration of carrying out physical therapy on the user by using the current physical therapy strategy reaches a second preset duration, acquiring the metabolic index of the user at the current moment based on the real-time physiological data;

In some optional embodiments, the physiotherapy strategy is further used for indicating a physiotherapy intensity threshold corresponding to the physiotherapy mode;

based on the physiotherapy strategy of the user, the electrode plate is utilized to output corresponding electrostimulation pulses to the body surface of the user, and the method comprises the following steps:

In some optional embodiments, the method further comprises:

In a third aspect, the present application provides a physiotherapy system comprising a sensor and any one of the above-mentioned physiotherapy apparatuses.

Drawings

The present application is further described below with reference to the drawings and examples.

Fig. 1 is a schematic structural diagram of a physiotherapy apparatus according to an embodiment of the present application;

FIG. 2 is a schematic flow chart illustrating a method for detecting a physiological condition of a user according to an embodiment of the present disclosure;

fig. 3 is a schematic flow chart of detecting a heart rate HR and a heart rate variability HRV of a user according to an embodiment of the present application;

FIG. 4 is a schematic diagram illustrating a process for detecting blood oxygenation of a user according to an embodiment of the present application;

FIG. 5 is a schematic flow chart illustrating a method for detecting a user micro-cycle according to an embodiment of the present disclosure;

fig. 6 is a flowchart illustrating a control method of a physiotherapy apparatus according to an embodiment of the present application;

FIG. 7 is a schematic diagram of a process for obtaining a metabolic index according to an embodiment of the present disclosure;

FIG. 8 is a schematic flow chart of obtaining a trend parameter of a metabolic index according to an embodiment of the present application;

FIG. 9 is a schematic flow chart illustrating a physical therapy strategy acquisition process provided by an embodiment of the present application;

fig. 10 is a flowchart illustrating another control method of a physiotherapy apparatus according to an embodiment of the present application;

FIG. 11 is a schematic flow chart illustrating adjustment of a physiotherapy strategy according to an embodiment of the present application;

FIG. 12 is a schematic flow chart illustrating another embodiment of the present application for adjusting a physical therapy strategy;

fig. 13 is a block diagram illustrating a physiotherapy system according to an embodiment of the present disclosure.

Detailed Description

The present application is further described with reference to the accompanying drawings and the detailed description, and it should be noted that, in the present application, the embodiments or technical features described below may be arbitrarily combined to form a new embodiment without conflict.

Referring to fig. 1, an embodiment of the present application provides a physiotherapy apparatus 100 for providing a reference electrical stimulation physiotherapy function to a user in a movement state, the physiotherapy apparatus 100 including a plurality of electrode pads 102 and a controller 101, the controller 101 being configured to:

acquiring real-time physiological data of the user;

acquiring a trend parameter of the metabolic index of the user based on the metabolic index of the user in a first preset time period;

based on the physiotherapy strategy of the user, outputting corresponding electric stimulation pulses to the body surface of the user by using the electrode plates 102 so as to change the metabolic index of the user.

Therefore, according to the real-time physiological data of the user, the metabolic index of the user is obtained, the trend parameter of the metabolic index of the user is further obtained, the change trend of the exercise intensity of the user is judged, the physical therapy strategy corresponding to the user is determined, and the corresponding electrical stimulation pulses are output to the body surface of the user by the aid of the electrode plates 102 to change the metabolic index of the user.

The physiotherapy equipment 100 of the application considers that in the exercise process of a user, physiological data are in a dynamic change process, a physiotherapy strategy is not determined directly according to the physiological data, but metabolic indexes in a first preset time duration are obtained through real-time physiological data, and then a trend parameter of the metabolic indexes is obtained, the trend parameter of the metabolic indexes can evaluate the change trend of the exercise intensity of the user in the first preset time duration, so that the physiotherapy strategy is determined through the trend parameter of the metabolic indexes of the user, accurate electrical stimulation can be provided for the user in the exercise state, and the stimulation effect is better.

The physical therapy apparatus 100 is not limited in the present application, and the physical therapy apparatus 100 may be in the form of a wearable sports vest, shorts, knee pads, a neckerchief, socks, or the like. The physiotherapy apparatus 100 may be worn locally or worn systemically. The electrode pad 102 may be a silver-doped conductive gel electrode pad.

In some embodiments, the real-time physiological data includes one or more of electrocardiographic data, pulse data, heart rate variability data, blood oxygen data, microcirculation data, myoelectrical data, electrooculogram data, body temperature data, skin humidity data, and skin pigment data.

The electrocardiographic data may be Electrocardiogram (ECG) data, and Heart Rate Variability (HRV) is also called Heart rate fluctuation, which refers to a variation of a difference between successive Heart cycles, or a variation of a fast or slow Heart beat.

In some embodiments, the real-time physiological data of the user may be collected every third preset time period using the sensor. The third preset time period is not limited in the present application, and the third preset time period may be 5 seconds, 10 seconds, or 15 seconds.

The sensors may include pulse wave sensors, blood oxygen sensors, heart rate sensors, temperature sensors, skin moisture sensors, and the like.

In some embodiments, the acquired real-time physiological data may be pre-processed, and the pre-processing may include one or more of the following: filtering, noise reduction and compression.

After the preprocessing, the data can be uploaded to the interaction device, and the interaction device is used for further operation processing to obtain the metabolic index of the user.

The application does not limit the interactive device, and the interactive device can be a mobile phone, a tablet personal computer (PAD), a notebook computer, a desktop computer, an intelligent wearable device or an independent operation type workstation.

When the metabolic index is obtained, the limb local motion track of the user can be obtained through the visual detection equipment, the current motion state of the user is judged, and the metabolic index of the user is obtained by combining the real-time physiological data of the user and utilizing a machine learning algorithm and a deep learning algorithm.

When determining the physical therapy strategy, the physical therapy demand information of the user can be acquired (by using the interactive device), and the corresponding physical therapy part and the physical therapy mode are automatically matched according to the physical therapy demand information. The physical therapy demand information may be neck wrinkle resistance, pelvic floor muscle repair, abdominal muscle augmentation, waist fat reduction, etc.

The treatment site may include one or more of the neck, abdomen, buttocks, waist, legs, upper arms and feet.

The physical therapy intensity can be expressed by strong, medium and weak, and also can be expressed by numerical grade, the higher the grade is, the stronger the intensity is, for example, the physical therapy intensity can include 1 grade to 9 grades.

In some optional embodiments, the physiotherapy mode corresponds to one or more of the following stimulation types: EMS low-frequency myoelectric stimulation, EMS secondary intermediate-frequency smooth muscle stimulation, EMS intermediate-frequency nerve stimulation, EMS intermediate-frequency unbalanced pulse alternating electric field stimulation and RF radio frequency subcutaneous elastic tissue stimulation;

Therefore, the EMS low-frequency myoelectric stimulation can improve muscle tolerance, irritability, microcirculation efficiency and nutrition metabolism efficiency, finally greatly improve the basic metabolism rate of the body and improve the metabolism index of a user; EMS intermediate frequency smooth muscle stimulation can perform electric stimulation contraction relaxation motion induction on smooth muscles under the modulation of different frequency waveforms; EMS intermediate frequency nerve stimulation can act on peripheral nerves extending from spinal cord nerves to perform intermediate frequency nerve regulation, and the excitation and balance of sympathetic nerves and parasympathetic nerves are modulated by low frequency direct current composite intermediate frequency alternating current electric signals in a low frequency and low energy induction mode; the stimulation of an EMS intermediate-frequency unbalanced pulse alternating electric field can promote sebum metabolism through the intermediate-frequency alternating pulse electric field and stimulate the efficient absorption of skin on nutrient components; the stimulation of the RF subcutaneous elastic tissue can act on the skin tissue to restore the elasticity of the skin and play the roles of lifting and resisting wrinkles. The physical therapy mode can correspond to a single stimulation type and also can correspond to the synchronous combination of multiple stimulation types, thereby realizing multiple functions.

Wherein, the frequency range of EMS low-frequency myoelectric stimulation can be 0-1000Hz, and the frequency range of EMS intermediate-frequency nerve stimulation can be 1000Hz-10000 Hz. The waveform may include one or more of a sine wave, a square wave, a triangular wave, an exponential wave, a spike wave, a sawtooth wave, and a constant amplitude wave.

Aiming at EMS low-frequency myoelectric stimulation, the corresponding electrode plates can be placed near main skeletal muscle groups of the trunk to form 8 loops. For smooth muscle, a single circuit may be provided for postpartum repair of the female private.

Aiming at EMS intermediate frequency nerve stimulation, the corresponding electrode plate can be placed at the ear root and the ear lobe, which is a stimulation position convenient for human body; alternatively, the corresponding electrode pad may be placed at the back lumbar eye, which is the primary superficial ganglion site of the spinal cord nerve endings.

Aiming at EMS intermediate frequency unbalanced pulse alternating electric field stimulation, electrode plates adopted by EMS low frequency myoelectric stimulation can be mechanically applied through an alternating conductive loop, corresponding electrode plates are placed on the surface of skin, 8 paths of signals are synchronously processed, and a 1-path effect is formed, so that 8 loops in the EMS low frequency myoelectric stimulation become 1 large loop. However, the frequency, power, waveform and the like of electrical signals stimulated by the EMS intermediate-frequency unbalanced pulse alternating electric field can be different from those stimulated by the EMS low-frequency electromyography, and are specially used for cortical nutrition metabolism.

In a specific application, the physical therapy demand information of the user is abdominal muscle augmentation, the physical therapy part is determined to be an abdomen, and the physical therapy mode is EMS low-frequency myoelectric stimulation.

When the physical therapy parts have various types, different physical therapy modes and physical therapy strengths can be selected according to different physical therapy parts. Also, the physiotherapy mode may be a combination of a plurality of stimulation types, but requires that the metabolic index trend parameter of the user is not less than a preset trend parameter threshold. Where the metabolic index may be expressed as a number or percentage, the metabolic index trend parameter may be expressed as a percentage, and the preset trend parameter threshold is, for example, 20%, 30%, or 50%.

In a specific application, the physiotherapy part comprises thighs and a neck, the physiotherapy mode of the thighs can be EMS medium-frequency myoelectric stimulation, and the physiotherapy mode of the neck can be a synchronous combination of RF subcutaneous elastic tissue stimulation and EMS low-frequency myoelectric stimulation (the metabolic index trend parameter of a user is not less than 20% of the preset trend parameter threshold value).

In some embodiments, EMS low frequency myoelectrical stimulation may be combined with skin nutrients for iontophoretic transdermal trophic delivery for iontophoretic skin therapy. Nutrient solution (basically sweat generated during the movement of a user) is generated for soaking the skin of the corresponding part, and then the ion introduction effect is realized through specific EMS pulse waves. The skin nutrients may include collagen, small molecule hyaluronic acid, essential fruit acids, vitamins, etc.

In some optional embodiments, the controller 101 is further configured to obtain the metabolic index of the user by:

Therefore, the preset deep learning model is trained by utilizing the real-time physiological data of the plurality of sample objects and the labeled data of the corresponding metabolic indexes to obtain the metabolic index model, the metabolic index model can be obtained by training a large amount of training data, the corresponding metabolic indexes can be obtained by aiming at the prediction of various real-time physiological data, the application range is wide, and the intelligent level is high. Through design, a proper amount of neuron calculation nodes and a multilayer operation hierarchical structure are established, a proper input layer and a proper output layer are selected, a preset deep learning model can be obtained, through learning and tuning of the preset deep learning model, a functional relation from input to output is established, although the functional relation between input and output cannot be found out by 100%, the functional relation can be close to a real incidence relation as far as possible, and therefore the metabolic index model obtained through training can realize analysis processing of real-time physiological data, and the reliability of an analysis result is high.

The metabolic index refers to the energy metabolic rate of the human body, and can be used to evaluate the exercise intensity of the user in the present application.

The acquisition mode of the labeled data of the metabolic index is not limited, and for example, a manual labeling mode can be adopted, and an automatic labeling or semi-automatic labeling mode can also be adopted.

The training process of the metabolic index model is not limited in the present application, and may be, for example, the above-described supervised learning training mode, or may be a semi-supervised learning training mode, or may be an unsupervised learning training mode.

The training by using a preset deep learning model according to the real-time physiological data of the plurality of sample objects and the labeled data of the corresponding metabolic indexes to obtain a metabolic index model comprises the following steps:

updating the model parameters of the preset deep learning model according to the real-time physiological data of the plurality of sample objects and the labeling data of the corresponding metabolic indexes of the sample objects;

and detecting whether a preset training end condition is met, if so, stopping training, using the preset deep learning model obtained by training as the metabolic index model, and if not, training the preset deep learning model by using the real-time physiological data and the labeled metabolic index of the next sample object.

The preset training end condition is not limited in the present application, and may be, for example, that the training frequency reaches the preset frequency (the preset frequency is, for example, 1 time, 3 times, 10 times, 100 times, 1000 times, 10000 times, etc.), or may be that training data in a training set all complete one or more times of training, or may be that a total loss value obtained by this training is not greater than a preset loss value.

In other alternative embodiments, the step of obtaining the metabolic index of the user may comprise: and inputting the acquired real-time physiological data of the user into a preset metabolic index calculation formula, and calculating to obtain the metabolic index of the user.

The preset metabolic index calculation formula is not limited in the present application, and is, for example, a univariate polynomial or a multivariate polynomial, and is, for example, a linear polynomial or a nonlinear polynomial. Calculating a dependent variable (the metabolic index of the user) by using the metabolic index calculation formula and the independent variable (one or more of electrocardio data, pulse data, heart rate variability data, blood oxygen data, microcirculation data, myoelectricity data, electrooculogram data, body temperature data, skin humidity data and skin pigment data of the user, generally multiple). In the calculation process based on the calculation formula, the consumed calculation resources are less, the consumed calculation time is short, and the calculation efficiency is higher.

In one specific application, the metabolic index calculation formula is, for example: metabolic index (heart rate + pulse pressure difference) -111.

In some optional embodiments, the controller 101 is further configured to obtain a trend parameter of the metabolic index of the user by:

Therefore, the metabolic index trend parameter curve is obtained by carrying out derivation calculation on the metabolic index curve, so that the metabolic index trend parameter of each point on the metabolic index trend parameter curve can be obtained.

The first preset time is not limited, and the first preset time is, for example, 5 seconds, 10 seconds, or 15 seconds.

In some optional embodiments, the controller 101 is further configured to obtain the therapy strategy corresponding to the user as follows:

From this, to different users, the physiotherapy mode that is suitable for, physiotherapy intensity and length of physical therapy all are different, older, the stimulation that the user that the physique is weaker can bear is limited, user's individual difference is still considered in the determination of the physiotherapy strategy of this application, when confirming the physiotherapy strategy that the user corresponds, not only need see user's metabolic index's trend parameter, personal information such as still need combine user's age, sex, BMI index, body fat rate and medical history, like this, can compromise different user's physical condition, further provide accurate electro photoluminescence for different users.

BMI index refers to Body Mass Index (BMI) which is the square of weight (kg)/height (m).

In some optional embodiments, before applying EMS stimulation to the user, the physiological status of the user can be judged based on the real-time physiological data of the user, and the user is not suitable for exercise.

Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a process for detecting a physiological condition of a user according to an embodiment of the present disclosure.

Firstly, detecting the heart Rate change Rate (Heaet Rate, HR) of a user, and when the HR is less than or equal to 20%, continuously detecting the heart Rate of the user;

when the HR is greater than 20% (HR can be increased due to movement reasons), further detecting whether the Heart Rate Variability (HRV) is in a normal range, and if the HRV is not in the normal range, giving an early warning to the user to prompt the user to pay attention to heart safety;

if the HR and the HRV are in the normal range, detecting the blood oxygen change rate of the user, and controlling the physical therapy equipment to enter a relieving mode or stop working when the blood oxygen change rate is less than or equal to 10 percent (lower);

when the blood oxygen change rate is larger than 10%, detecting the aerobic exercise index of the user, when the aerobic exercise index is smaller than or equal to 0, determining that the user does anaerobic exercise, controlling the waveform corresponding to the physical therapy mode to be a wide waveform, and detecting the microcirculation index of the user;

when the aerobic exercise index is greater than 0, determining that the user performs aerobic exercise, controlling the waveform corresponding to the physical therapy mode to be a narrow waveform, and detecting the microcirculation index of the user;

when the microcirculation index is less than or equal to 0, determining that the user is in an abnormal motion mode of the user and the user is not suitable for performing motion;

and when the microcirculation index is greater than 0, determining that the user is in a normal motion mode of the user, and applying EMS stimulation to the user, wherein the user is suitable for motion.

Referring to fig. 3, fig. 3 is a schematic flow chart of detecting a heart rate HR and a heart rate variability HRV of a user according to an embodiment of the present application.

Firstly, continuously calculating a Heart Rate Variability (HRV) index of a user, monitoring the Heart safety of the user, and when the Heart safety of the user is judged to be suitable for exercise, suggesting the user to start exercise;

when the heart of the user is judged to be unsafe and movement of the user is risky, detecting LF (low frequency) and HF (high frequency) change rates, and when the LF (low frequency) and the HF (high frequency) change rates are both equal to 0, prompting the user that the heart failure risk exists;

when at least one of LF (low frequency) and HF (high frequency) change rates is larger than 0, acquiring sympathetic nerve excitation and parasympathetic nerve excitation, calculating the exercise fatigue (HPF) of the user, and judging whether the HRV is larger than the mean value;

when the HRV is less than or equal to the mean value, suggesting the user to rest or do low-intensity exercise;

when the HRV is larger than the mean value, suggesting the user to do high-intensity exercise, and prompting the user to start exercise after warming up;

when a user does exercise, detecting the heart rate variation (HR) of the user, and when the HR is less than or equal to 20%, not applying EMG (myoelectric stimulation) with larger power of EMS (EMS), and only providing continuous low-power micro-electrical stimulation of the basic warming-up in a relaxation mode;

when HRV > 20%, EMS myoelectric stimulation is applied.

Referring to fig. 4, fig. 4 is a schematic flowchart illustrating a process for detecting blood oxygenation of a user according to an embodiment of the present application.

Firstly, detecting the blood oxygen change rate of a user, when the blood oxygen change rate is less than 10%, indicating that the blood oxygen change rate of the user seriously slides down, giving an early warning to the user, and controlling physical therapy equipment to enter a relieving mode or stop working;

when the blood oxygen change rate is more than or equal to 10%, detecting whether the user performs aerobic exercise;

when the user does anaerobic exercise, controlling the waveform corresponding to the physical therapy mode to be a wide waveform;

when the user performs aerobic exercise, the waveform corresponding to the control physiotherapy mode is a narrow waveform.

Referring to fig. 5, fig. 5 is a schematic flowchart illustrating a process for detecting a user micro-cycle according to an embodiment of the present application.

Firstly, detecting the blood oxygen change rate of a user, detecting the microcirculation index of the user when the blood oxygen change rate is greater than 0, and determining that the user is in a normal exercise mode when the microcirculation index is greater than 0, wherein the user is suitable for exercising; when the microcirculation index is less than or equal to 0, determining that the user is in an abnormal user movement mode, and outputting an intermediate index B;

when the blood oxygen change rate is equal to 0, detecting the microcirculation index of the user, and when the microcirculation index is greater than 0, determining that the user is in a normal movement mode of the user and the user is suitable for movement; when the microcirculation index is less than or equal to 0, determining that the user is in an abnormal user movement mode, and outputting an intermediate index A;

when the user is in the abnormal exercise mode of the user, the HRV data algorithm is called to calculate the heart rate variability of the user according to the output intermediate index, whether the user has exercise risk or not is judged, and when the user has the risk, the physical therapy equipment is controlled to enter a relieving mode or stop working.

In some optional embodiments, the controller 101 is further configured to:

Therefore, in the physical therapy process, the physical therapy strategy is not invariable but is in a dynamic updating process, when the duration of one physical therapy strategy reaches a second preset duration, the difference value between the user and the preset metabolic index is calculated according to the metabolic index of the user at the current moment, and the physical therapy strategy of the user is updated according to the difference value.

The second predetermined period of time, such as 1 minute, 2 minutes, or 10 minutes, and the predetermined metabolic index are not limited in this application. The predetermined metabolic index is for example 10, 20 or 30.

the controller 101 is further configured to output corresponding electrical stimulation pulses to the body surface of the user using the electrode pads 102 in the following manner:

when the physical therapy intensity corresponding to the adjusted physical therapy strategy is not greater than the physical therapy intensity threshold value, outputting a corresponding electrical stimulation pulse to the body surface of the user by using the electrode plate 102 according to the adjusted physical therapy strategy.

From this, the user can adjust the physiotherapy strategy, but this adjustment is not unlimited adjustment, need control in certain within range, and most users do not have audio-visual understanding to physiotherapy intensity, probably can't accomplish accurate regulation and control, through setting up physiotherapy intensity threshold value, only when the physiotherapy intensity that the physiotherapy strategy after the adjustment corresponds is not more than physiotherapy intensity threshold value, the adjustment is just effectual, can prevent like this that the user from setting up too high physiotherapy intensity, guarantee user's safety.

The threshold value of the physical therapy intensity is not limited, and can be 'strong' or '6-grade'.

The application does not limit the interactive equipment, and the interactive equipment can be a mobile phone, a tablet personal computer (PAD), a desktop computer, intelligent wearable equipment and the like.

In some optional embodiments, the controller 101 is further configured to:

Therefore, when the physical therapy intensity corresponding to the adjusted physical therapy strategy is greater than the physical therapy intensity threshold value, the electrical stimulation pulse is stopped being output or prompt information is generated and sent to the interaction device, so that the user can be further prevented from setting the too high physical therapy intensity, and the safety of the user is guaranteed.

The prompt information is not limited in the present application, and may be one or more of text, image, voice, and video.

In a specific application, the prompt is, for example, "the physical therapy intensity is too high, and reduction of the physical therapy intensity is recommended".

Referring to fig. 6, an embodiment of the present application further provides a control method of a physiotherapy apparatus for providing a reference electrical stimulation physiotherapy function for a user in a movement state, the physiotherapy apparatus includes a plurality of electrode pads and a controller, and the method includes steps S101 to S105.

Step S101: acquiring real-time physiological data of the user;

wherein the real-time physiological data comprises one or more of electrocardiogram data, heart rate variability data, blood oxygen data, microcirculation data, myoelectric data, electrooculogram data, body temperature data, skin humidity data and skin pigment data;

step S102: acquiring a metabolic index of the user based on the real-time physiological data;

step S103: acquiring a trend parameter of the metabolic index of the user based on the metabolic index of the user within a first preset time;

step S104: acquiring a physical therapy strategy corresponding to the user based on the trend parameter of the metabolic index of the user, wherein the physical therapy strategy is used for indicating a physical therapy part, a physical therapy mode and corresponding physical therapy intensity;

step S105: and outputting corresponding electric stimulation pulses to the body surface of the user by utilizing the electrode plates based on the physiotherapy strategy of the user so as to change the metabolic index of the user.

Referring to fig. 7, in some alternative embodiments, the step S102 may include steps S201 to S203.

Step S201: acquiring real-time physiological data of a plurality of sample objects and labeling data of corresponding metabolic indexes of the sample objects, wherein the real-time physiological data of each sample object is obtained by actual measurement or generated by utilizing a generation network of a GAN model;

step S202: training by using a preset deep learning model according to the real-time physiological data of the plurality of sample objects and the labeled data of the corresponding metabolic indexes of the sample objects to obtain a metabolic index model;

step S203: and inputting the real-time physiological data of the user into the metabolic index model to obtain the metabolic index of the user.

Referring to fig. 8, in some alternative embodiments, the step S103 may include steps S301 to S302.

Step S301: drawing a metabolic index curve based on the metabolic index of the user within a first preset time, wherein each point on the metabolic index curve is used for indicating the metabolic index of the user at a corresponding moment;

step S302: and obtaining a metabolic index trend parameter curve of the user within the first preset time length by derivation of the metabolic index curve, wherein each point on the metabolic index trend parameter curve is used for indicating a trend parameter of the metabolic index of the user at a corresponding moment.

Referring to fig. 9, in some alternative embodiments, the step S104 may include steps S401 to S402.

Step S401: acquiring personal information of the user, wherein the personal information comprises one or more of age, gender, BMI index, body fat rate and medical history;

step S402: and acquiring the physical therapy strategy corresponding to the user based on the personal information of the user and the trend parameter of the metabolic index of the user.

Referring to fig. 10, in some alternative embodiments, the method may further include steps S106 to S107.

Step S106: when the duration of carrying out physical therapy on the user by using the current physical therapy strategy reaches a second preset duration, acquiring the metabolic index of the user at the current moment based on the real-time physiological data;

step S107: and calculating a difference value between the metabolic index of the user at the current moment and a preset metabolic index, and updating the physiotherapy strategy of the user based on the difference value.

referring to fig. 11, the step S105 may include steps S501 to S502.

Step S501: receiving an adjustment operation on the physiotherapy strategy by utilizing interactive equipment;

step S502: and when the physical therapy intensity corresponding to the adjusted physical therapy strategy is not greater than the physical therapy intensity threshold value, outputting corresponding electrical stimulation pulses to the body surface of the user by utilizing the electrode plate according to the adjusted physical therapy strategy.

Referring to fig. 12, in some optional embodiments, the method may further include step S503.

Step S503: when the physical therapy intensity corresponding to the adjusted physical therapy strategy is greater than the physical therapy intensity threshold value, executing any one of the following operations:

Referring to fig. 13, the embodiment of the present application further provides a physiotherapy system 300, wherein the physiotherapy system 300 comprises a sensor 200 and any one of the physiotherapy apparatuses 100 described above. The physiotherapy apparatus 100 includes a plurality of electrode pads 102.

The sensor 200 may include one or more of a pulse wave sensor, a blood oxygen sensor, a heart rate sensor, a temperature sensor, a skin moisture sensor.

The physical therapy apparatus 100 is not limited in the present application, and the physical therapy apparatus 100 may be in the form of a wearable sports vest, shorts, knee pads, a neckerchief, socks, or the like. The physiotherapy apparatus 100 may be worn locally or worn systemically.

While the present application is described in terms of various aspects, including exemplary embodiments, the principles of the invention should not be limited to the disclosed embodiments, but are also intended to cover various modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.

Claims

1. A physiotherapy apparatus for providing a reference electrical stimulation physiotherapy function to a user in a movement state, the physiotherapy apparatus comprising a plurality of electrode pads and a controller configured to:

acquiring real-time physiological data of the user;

2. The physiotherapy apparatus of claim 1, wherein the physiotherapy pattern corresponds to one or more of the following stimulation types: EMS low-frequency myoelectric stimulation, EMS secondary intermediate-frequency smooth muscle stimulation, EMS intermediate-frequency nerve stimulation, EMS intermediate-frequency unbalanced pulse alternating electric field stimulation and RF radio frequency subcutaneous elastic tissue stimulation;

3. The physiotherapy apparatus of claim 1, wherein the controller is further configured to obtain the metabolic index of the user by:

4. The physiotherapy apparatus of claim 3, wherein the controller is further configured to obtain the trend parameter of the metabolic index of the user by:

5. The physiotherapy apparatus of claim 1, wherein the controller is further configured to obtain the user's corresponding physiotherapy strategy by:

6. The physiotherapy apparatus of claim 1, wherein the controller is further configured to:

7. The physiotherapy apparatus of claim 1, wherein the physiotherapy strategy is further configured to indicate a threshold intensity of physiotherapy for the physiotherapy mode;

the controller is further configured to output corresponding electrical stimulation pulses to a body surface of the user with the plurality of electrode pads in the following manner:

and when the physical therapy intensity corresponding to the adjusted physical therapy strategy is not greater than the physical therapy intensity threshold value, outputting corresponding electrical stimulation pulses to the body surface of the user by utilizing the plurality of electrode plates according to the adjusted physical therapy strategy.

8. The physiotherapy apparatus of claim 7, wherein the controller is further configured to:

9. A control method of a physiotherapy apparatus for providing a reference electrical stimulation physiotherapy function to a user in a movement state, the physiotherapy apparatus including a plurality of electrode pads and a controller, the method comprising:

acquiring real-time physiological data of the user;

10. A physiotherapy system comprising a sensor and a physiotherapy apparatus according to any one of claims 1 to 8.