A method and system for automatic overcurrent protection of a waist muscle stimulation device

Abstract

The present application discloses a method and system for automatic overcurrent protection based on a lumbar muscle stimulation device, which relates to the field of wearable devices and intelligent control technology, and is used to realize overcurrent protection of an intelligently regulated lumbar muscle stimulation device; the intelligent muscle stimulation system includes at least a lumbar muscle stimulation device, and at least an acceleration sensor, an electromyography sensor, and an electrode unit are provided in the lumbar muscle stimulation device; in the method, whether the electrical stimulation mode is abnormal is determined based on the electromyography signal parameter sequence of the target user in the first time period collected by the electromyography sensor and the motion state detected by the acceleration sensor, and current intensity control is performed when the electrical stimulation mode is abnormal, and different electrode current intensities are adapted in the current intensity control to perform intelligent current regulation and / or abnormality reminder.

Description

Technical Field

[0001] The present application relates to the field of wearable devices and intelligent control technology, and in particular to a method and system for automatic overcurrent protection of a waist muscle stimulation device. Background Art

[0002] In modern society, due to bad living habits such as long-term sitting and lack of exercise, low back pain has become a common problem for many people; low back pain not only affects people's work and quality of life, but may also lead to serious health problems. In order to relieve low back pain, many low back muscle stimulation devices have appeared on the market, which can stimulate the low back muscles through electric current, promote blood circulation and relieve pain.

[0003] However, there are some safety hazards in the use of the aforementioned waist muscle stimulation devices on the market. For example, when the current of the waist muscle stimulation devices is too large, it may cause harm to the human body, especially for those with chronic diseases such as heart disease and high blood pressure, excessive current may cause serious health problems; therefore, how to improve the safety of the use of waist muscle stimulation devices has become an urgent problem to be solved. Summary of the invention

[0004] The present application provides a method and system based on automatic overcurrent protection of a waist muscle stimulation device, which is used to at least provide an automatic overcurrent protection method for a waist muscle stimulation device to improve the safety of use of the waist muscle stimulation device.

[0005] In a first aspect, the present application provides a method for automatic overcurrent protection based on a waist muscle stimulation device, which is applied to a waist muscle stimulation system, wherein the waist muscle stimulation system at least includes a waist muscle stimulation device, and the waist muscle stimulation device is provided with an acceleration sensor, an electromyography sensor, and an electrode unit; the method comprises:

[0006] The target user is a user wearing a waist muscle stimulation device, wherein the target user collects a myoelectric signal parameter sequence of the target user in the first period of time through an electromyographic sensor, and determines a first electrical stimulation mode according to the myoelectric signal parameter sequence.

[0007] When the first electrical stimulation mode is an abnormal mode, performing first current intensity regulation;

[0008] When the first electrical stimulation mode is a normal mode, the second electrical stimulation mode is determined based on the optimal current parameter and the motion mode parameter, and the first current intensity regulation is performed when the second electrical stimulation mode is an abnormal mode; wherein the optimal current parameter is determined based on a user profile and a face image of a target user, and the motion mode parameter is determined by detecting the motion state of the target user through an acceleration sensor;

[0009] The first current intensity control includes: determining the electrode current mode based on the electrode current intensity of the electrode unit; when the electrode current mode is an overcurrent mode, performing a first current adjustment on the lumbar muscle stimulation device based on the electrode current intensity; when the electrode current mode is an abnormal mode, pausing the operation of the lumbar muscle stimulation device and issuing a reminder message; when the electrode current mode is a normal mode, determining that the current of the lumbar muscle stimulation device is normal.

[0010] In a possible implementation, before determining the second electrical stimulation mode based on the optimal current parameter and the motion pattern parameter, the method further includes:

[0011] Collecting a facial image sequence of a target user, performing facial analysis on the facial image sequence, and obtaining facial features;

[0012] If the target user is determined to be a profiled user based on the facial features and the user profile library, the configuration current parameter in the profile information of the target user is determined as the optimal current parameter;

[0013] If it is determined based on facial features and the user archive that the target user is not a registered user, user attribute information is extracted based on the facial features, and the preset current parameters matching the user attribute information are determined as the optimal current parameters.

[0014] In a possible implementation, collecting a facial image sequence of a target user, performing facial analysis on the facial image sequence, and obtaining facial features includes:

[0015] In response to the waist muscle stimulation device being powered on, detecting a network connection status of the waist muscle stimulation device;

[0016] If the network connection state is abnormal, a voice reminder signal is issued through a voice prompter; if the network connection is normal, a face image of the target user is collected through a camera in the area where the target user is located or a CMOS image sensor of a waist muscle stimulation device to obtain a face image sequence;

[0017] The facial features are determined based on the image features of the designated face part in each face image in the facial image sequence.

[0018] In a possible implementation, before determining the second electrical stimulation mode based on the optimal current parameter and the motion pattern parameter, the method further includes:

[0019] Detecting the current motion state value of the target user in the second period by using an acceleration sensor;

[0020] The ratio of the current motion state value to the normal motion state value is determined as the motion index;

[0021] If the motion index is less than or equal to the first motion threshold, the motion state is determined to be a no-motion mode, and the motion mode parameter is the first motion parameter; if the motion index is greater than the first motion threshold and less than or equal to the second motion threshold, the motion state is determined to be a motion mode, and the motion mode parameter is the second motion parameter; if the motion index is greater than the second motion threshold, the motion state is determined to be a high motion mode, and the motion mode parameter is determined to be the third motion parameter; wherein the first motion threshold is less than the second motion threshold.

[0022] In a possible implementation, the electromyographic signal parameter sequence includes M electromyographic signal parameters, where M is an integer greater than 1; collecting the electromyographic signal parameter sequence of the target user in the first time period through the electromyographic sensor, and determining the first electrical stimulation mode according to the electromyographic signal parameter sequence, includes:

[0023] Determine the maximum and minimum values ​​of the electromyographic signal parameters contained in the electromyographic signal parameter sequence;

[0024] determining a difference between the maximum value and the minimum value as a first electrical stimulation index;

[0025] If the first electrical stimulation index is greater than or equal to the first electromyographic signal threshold, the first electrical stimulation mode is determined to be an abnormal mode; if the first electrical stimulation index is less than the first electromyographic signal threshold, the first electrical stimulation mode is determined to be a normal mode.

[0026] In a possible implementation, determining the second electrical stimulation mode based on the optimal current parameter and the motion pattern parameter includes:

[0027] Determine the current electromyographic signal change value of the target user in the third period through the electromyographic sensor;

[0028] And obtain the normal electromyographic signal change value from the cloud according to the optimal current parameters and motion pattern parameters;

[0029] The ratio of the current electromyographic signal change value to the normal electromyographic signal change value is determined as the second electrical stimulation index;

[0030] If the second electrical stimulation index is less than or equal to the second electromyographic signal threshold, the second electrical stimulation mode is determined to be an abnormal mode; if the second electrical stimulation index is greater than the second electromyographic signal threshold, the second electrical stimulation mode is determined to be a normal mode, and the second electromyographic signal threshold is less than 1.

[0031] In a possible implementation, the electrode sheet unit includes N electrode sheets, where N is an integer greater than 1, and determining the electrode sheet current mode based on the electrode sheet current intensity of the electrode sheet unit includes:

[0032] Detecting the current current intensity of the N electrode sheets by using a current sensor, and determining the average value of the current current intensity obtained by the detection as a first current intensity value;

[0033] Determine the current intensity of the waist muscle stimulation device as the second current intensity value;

[0034] Determine a ratio of the first current intensity value to the second current intensity value as a current intensity index;

[0035] If the current intensity index is less than the first current ratio, the electrode sheet current mode is determined to be a normal mode; if the current intensity index is greater than or equal to the first current ratio and less than the second current ratio, the electrode sheet current mode is determined to be an overcurrent mode; if the current intensity index is greater than the second current ratio, the electrode sheet current mode is determined to be an abnormal mode;

[0036] The first current ratio is smaller than the second current ratio, and both the first current ratio and the second current ratio are not smaller than 1.

[0037] In a possible implementation, the first current adjustment of the waist muscle stimulation device based on the electrode sheet current intensity includes:

[0038] Determine a limiting impedance value based on the first current intensity value, and adjust the current of the waist muscle stimulation device based on the limiting impedance value by a current regulator;

[0039] After the first current adjustment is performed on the waist muscle stimulation device based on the current intensity of the electrode sheet, the method further includes:

[0040] re-determining the electrode sheet current mode based on the electrode sheet current intensity of the electrode sheet unit;

[0041] If the re-determined electrode sheet current mode is an overcurrent mode or an abnormal mode, a second current intensity control is performed;

[0042] If the re-determined electrode sheet current mode is the normal mode, it is determined that the overcurrent protection is successful.

[0043] In a possible implementation, the second current intensity control includes:

[0044] According to the second current intensity value, the waist muscle stimulation device is subjected to a second current adjustment;

[0045] After the second current adjustment, the electrode sheet current mode is determined again based on the electrode sheet current intensity of the electrode sheet unit;

[0046] If the electrode current mode determined again is an overcurrent mode or an abnormal mode, it is determined that the overcurrent protection fails, and a first reminder message is generated, wherein the first reminder message is used to notify that the electrode current of the waist muscle stimulation device is abnormal and cannot be adjusted;

[0047] If the electrode current mode determined again is the normal mode, it is determined that the overcurrent protection is successful.

[0048] In a second aspect, an embodiment of the present application further provides an intelligent muscle stimulation system, wherein the waist muscle stimulation system comprises at least a waist muscle stimulation device and an intelligent control center, wherein the waist muscle stimulation device is provided with an acceleration sensor, an electromyography sensor, and an electrode unit;

[0049] The electromyographic sensor is used to collect the electromyographic signal parameter sequence of the target user wearing the waist muscle stimulation device in the first time period; the intelligent control center is used to determine the first electrical stimulation mode according to the electromyographic signal parameter sequence, and when the first electrical stimulation mode is an abnormal mode, perform the first current intensity regulation; when the first electrical stimulation mode is a normal mode, determine the second electrical stimulation mode based on the optimal current parameter and the motion mode parameter, and perform the first current intensity regulation when the second electrical stimulation mode is an abnormal mode; wherein the optimal current parameter is determined based on the user profile and the facial image of the target user, and the motion mode parameter is determined by detecting the motion state of the target user by the acceleration sensor;

[0050] The intelligent control center is used to perform the following in the first current intensity regulation: determining the electrode current mode based on the electrode current intensity of the electrode unit; when the electrode current mode is an overcurrent mode, performing a first current adjustment on the lumbar muscle stimulation device based on the electrode current intensity; pausing the operation of the lumbar muscle stimulation device and issuing a reminder message when the electrode current mode is an abnormal mode; and determining that the current of the lumbar muscle stimulation device is normal when the electrode current mode is a normal mode.

[0051] In the third aspect, an embodiment of the present application also provides a device based on automatic overcurrent protection of a lumbar muscle stimulation device, the device comprising a processor and a memory, the memory being used to store programs executable by the processor, the processor being used to read the programs in the memory and execute any method described in the first aspect of the present application.

[0052] In a fourth aspect, an embodiment of the present application further provides a computer storage medium on which a computer program is stored, and when the program is executed by a processor, it is used to implement the steps of the method described in the first aspect above.

[0053] The method for automatic overcurrent protection of a waist muscle stimulation device and the intelligent muscle stimulation system provided by the embodiments of the present application have at least the following beneficial effects:

[0054] The intelligent muscle stimulation system provided in the embodiment of the present application adds an acceleration sensor and an electromyoelectric sensor to the lumbar muscle stimulation device, determines whether the electrical stimulation mode of the lumbar muscle stimulation device is abnormal based on the detection results of the electromyoelectric sensor and the acceleration sensor, and automatically performs current intensity regulation when the electrical stimulation mode is abnormal. In the current intensity regulation, the current intensities of different electrode sheets of the lumbar muscle stimulation device are directly adapted to perform intelligent current regulation, and the lumbar muscle stimulation device is paused when the electrode current mode is an abnormal mode. The lumbar muscle stimulation device will automatically stop working to avoid causing harm to the human body. That is, the method provided in the embodiment of the present application can intelligently and automatically adjust the current size of the lumbar muscle stimulation device to ensure the user experience. Through automatic over-current protection, it can effectively protect the safety of the user. The system can also automatically adjust the current size according to the user's needs to ensure the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0056] Figure 1 A schematic diagram of the structure of an intelligent muscle stimulation system provided in an embodiment of the present application;

[0057] Figure 2 A schematic diagram of an electrode unit of a waist muscle stimulation device provided in an embodiment of the present application;

[0058] Figure 3 A flow chart of a method for automatic overcurrent protection of a waist muscle stimulation device provided in an embodiment of the present application;

[0059] Figure 4 A schematic structural diagram of a device for automatic overcurrent protection of a waist muscle stimulation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0061] First, the key words in the embodiments of the present application are explained:

[0062] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0063] The application scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. It is known to those skilled in the art that with the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems. In the description of the present application, unless otherwise specified, the meaning of "multiple" is two or more.

[0064] Lumbar muscle stimulation device: The lumbago muscle stimulation device in the embodiment of the present application may be, but is not limited to, a lumbago massager that stimulates muscle groups by performing deep massage on the human waist; the lumbago muscle stimulation device may be a lumbago massager that uses pulse current as its working principle, that is, the lumbago muscle stimulation device in the embodiment of the present application may simulate a low-frequency pulse current, and then synthesize different bands to produce different massage effects, such as acupuncture, massage, kneading, etc., to perform deep massage on the waist from the inside out, which can quickly relieve pain and exercise the waist muscles, and the pulse of the lumbago muscle stimulation device may be, but is not limited to, any one of TENS and TEMS.

[0065] Myoelectric sensor: Myoelectric sensor is a sensor that can measure muscle electrical signals. Its principle is based on the weak electrical signals generated by human muscle movement. Muscle electrical signals refer to the electrical signals generated when muscles contract and relax. They are generated by neurons in the muscles through nerve transmission. The myoelectric sensor attaches electrodes to the surface of the body, receives muscle electrical signals, and converts them into readable digital signals, thereby realizing the monitoring and analysis of muscle activity.

[0066] CMOS image sensor: The basic working principle of the CMOS image sensor of the device: When external light irradiates the pixel array, a photoelectric effect occurs, and corresponding charges are generated in the pixel unit. The row selection logic unit selects the corresponding row pixel unit as needed. The image signal in the row pixel unit is transmitted to the corresponding analog signal processing unit and A / D converter through the signal bus of each column, and converted into a digital image signal output.

[0067] This application embodiment provides an intelligent muscle stimulation system, see Figure 1The above-mentioned lumbar muscle stimulation system at least includes a lumbar muscle stimulation device 110 and an intelligent control center 120. The above-mentioned lumbar muscle stimulation device 110 is provided with an acceleration sensor, an electromyography sensor, and an electrode unit; wherein the specific positions of the acceleration sensor, muscle sensor, and electrode unit on the lumbar muscle stimulation device 110 are not limited, and technicians in this field can set them according to actual needs.

[0068] As an embodiment, the electrode sheet unit may include N (N is an integer greater than 1) electrode sheets, and different electrode sheets among the N electrode sheets may be arranged at different positions of the waist muscle stimulation device 110. Figure 2 A distribution example diagram of N electrode sheets is given in the figure, in which N is 4, that is, 4 electrode sheets are set on the waist muscle stimulation device 110 as electrode sheet units, and the position distribution of these 4 electrode sheets can refer to n1, n2, n3 and n4 in the figure.

[0069] In the system, the electromyographic sensor in the waist stimulation device 110 is used to collect the electromyographic signal parameter sequence of the target user wearing the waist muscle stimulation device in the first time period; the acceleration sensor is used to detect the movement state of the target user.

[0070] The intelligent control center 120 is used to determine the first electrical stimulation mode according to the electromyographic signal parameter sequence, and perform the first current intensity regulation when the first electrical stimulation mode is an abnormal mode; when the first electrical stimulation mode is a normal mode, determine the second electrical stimulation mode based on the optimal current parameters and the motion mode parameters, and perform the first current intensity regulation when the second electrical stimulation mode is an abnormal mode; wherein the above-mentioned optimal current parameters are determined based on the user profile and the facial image of the target user, and the above-mentioned motion mode parameters are determined by detecting the motion state of the target user by the above-mentioned acceleration sensor.

[0071] The intelligent control center 120 is used to execute the following in the first current intensity regulation: determining the electrode current mode based on the electrode current intensity of the electrode unit; when the electrode current mode is an overcurrent mode, performing a first current adjustment on the lumbar muscle stimulation device based on the electrode current intensity; pausing the operation of the lumbar muscle stimulation device and issuing a reminder message when the electrode current mode is an abnormal mode; and determining that the current of the lumbar muscle stimulation device is normal when the electrode current mode is a normal mode.

[0072] As an embodiment, the intelligent control center 120 can be a device independent of the lumbar muscle stimulation device 110, such as the intelligent control center 120 can be an Internet of Things control center or an independent physical server or terminal device, etc.; the intelligent control center 120 can also be a processing module (such as a processor, etc.) integrated on the lumbar muscle stimulation device 110. The following content of this article will be explained using the example that the intelligent control center 120 can also be integrated on the lumbar muscle stimulation device 110.

[0073] Based on the same inventive concept, the present application embodiment provides a method for automatic overcurrent protection of a waist muscle stimulation device, see Figure 3 , applied to the aforementioned intelligent muscle stimulation system, the method can periodically monitor and regulate the current intensity of the waist muscle stimulation device, and specifically include steps S310 to S340 in each round of current intensity monitoring and regulation.

[0074] Step S310, collecting the electromyographic signal parameter sequence of the target user in the first time period through the electromyographic sensor, and determining the first electrical stimulation mode according to the electromyographic signal parameter sequence; the target user is the user wearing the waist muscle stimulation device.

[0075] As an embodiment, the electromyographic signal parameter sequence includes M (M is an integer greater than 1) electromyographic signal parameters, and step S310 specifically includes: determining the maximum and minimum values ​​of the electromyographic signal parameters contained in the electromyographic signal parameter sequence; determining the difference between the maximum and minimum values ​​as a first electrical stimulation index; if the first electrical stimulation index is greater than or equal to the first electromyographic signal threshold, determining that the first electrical stimulation mode is an abnormal mode; if the first electrical stimulation index is less than the first electromyographic signal threshold, determining that the first electrical stimulation mode is a normal mode; wherein the first electromyographic signal threshold can be obtained from the cloud, and the first electromyographic signal threshold represents the change value of the electromyographic signal parameter of the lumbar muscle stimulation device within a first time period under normal working conditions.

[0076] Among them, in the embodiment of the present application, the specific values ​​of the first time period and the first electromyographic signal threshold are not limited. Technical personnel in this field can set them according to actual needs. For example, the first time period can be set to 3 seconds or 5 seconds, etc., and the first electromyographic signal threshold can be set based on the changes in the electromyographic signal under the normal working state of the waist muscle stimulation device.

[0077] Step S320, determining whether the first electrical stimulation mode is an abnormal mode, if the first electrical stimulation mode is an abnormal mode, proceeding to step S340, if the first electrical stimulation mode is a normal mode, proceeding to step S330.

[0078] Step S330, determining the second electrical stimulation mode based on the optimal current parameters and the motion mode parameters, wherein the optimal current parameters are determined based on the user profile and the face image of the target user, and the motion mode parameters are determined by detecting the motion state of the target user through an acceleration sensor.

[0079] As an embodiment, the optimal current parameters in the embodiments of the present application may include but are not limited to the operating frequency and / or current of the waist muscle stimulation device, and those skilled in the art may set them according to actual needs.

[0080] Step S3301, determine whether the second electrical stimulation mode is an abnormal mode, if the second electrical stimulation mode is an abnormal mode, proceed to step S340, if the second electrical stimulation mode is a normal mode, proceed to step S3302.

[0081] As an embodiment, the cloud stores normal electromyographic signal change values ​​corresponding to different current parameters and different motion pattern parameters, and then in step S330, the corresponding normal electromyographic signal change values ​​can be obtained based on the optimal current parameters and the motion pattern parameters. Further, in steps S330 and S3301, it can be determined whether the second electrical stimulation mode is an abnormal mode in the following manner: determine the current electromyographic signal change value of the target user in the third time period through the electromyographic sensor; and obtain the normal electromyographic signal change value from the cloud based on the optimal current parameters and the motion pattern parameters; determine the ratio of the current electromyographic signal change value to the normal electromyographic signal change value as the second electrical stimulation index; if the second electrical stimulation index is less than or equal to the second electromyographic signal threshold, determine that the similarity between the current electromyographic signal and the normal electromyographic signal is too small, and determine that the second electrical stimulation mode is an abnormal mode. ; If the second electrical stimulation index is greater than the second electromyographic signal threshold, it is determined that the similarity between the current electromyographic signal and the normal electromyographic signal is large, and the second electrical stimulation mode is determined to be the normal mode; wherein, the current electromyographic signal change value may be the difference or ratio between the maximum and minimum values ​​of the electromyographic signal in the third time period, and the current electromyographic signal change value may also be a characteristic value for measuring the change characteristics of the electromyographic signal in the third time period; the third time period may be a time period after the first time period, and technicians in this field may set it according to actual needs, such as but not limited to setting the third time period to 3 seconds or 5 seconds after the first time period, etc.; the second electromyographic signal threshold value is less than 1, which characterizes the similarity between the current electromyographic signal and the normal electromyographic signal, and technicians in this field may set it according to actual needs, such as but not limited to setting the second electromyographic signal threshold to 80%, 88% or 90%, etc.

[0082] Step S3302, determine that the stimulation mode of the waist muscle stimulation device is normal, and return to the next round of current intensity monitoring and regulation (that is, return to step S310).

[0083] Step S340, performing first current intensity control, specifically includes the following steps S3401 to S3404:

[0084] Step S3401, determining an electrode sheet current mode based on the electrode sheet current intensity of the electrode sheet unit;

[0085] Step S3402: When the electrode current mode is in the overcurrent mode, a first current adjustment is performed on the waist muscle stimulation device based on the electrode current intensity.

[0086] Specifically, in step S340, the limiting impedance value can be determined based on the first current intensity value, and the current of the lumbar muscle stimulation device is adjusted based on the limiting impedance value by the current regulator to limit the current in the electrode unit to the maximum current corresponding to the limiting impedance value.

[0087] Step S3403, when the electrode current mode is an abnormal mode, the waist muscle stimulation device is suspended and a reminder message is issued.

[0088] Step S3404, when the electrode current mode is in the normal mode, determine that the current of the waist muscle stimulation device is normal, and return to the next round of current intensity monitoring and regulation (that is, return to step S310).

[0089] As an embodiment, before step S310, after detecting that the lumbar muscle stimulation device is powered on, the intelligent muscle stimulation system can also detect the network connection status and collect the facial image of the target user for subsequent analysis, which may specifically include: detecting whether the network connection status of the lumbar muscle stimulation device is normal; if the above network connection status is abnormal, a voice reminder signal is issued through a voice prompter, and the voice reminder signal can be issued through a voice prompter provided on the lumbar muscle stimulation device to remind the target user that the user without network connection cannot perform customized lumbar muscle stimulation intelligent regulation; if the network connection status is normal, the optimal current parameter detection module and the motion state detection module are entered, so as to subsequently evaluate the second electrical stimulation mode based on the optimal current parameters determined by the optimal current parameter detection module and the motion mode parameters determined by the motion state detection module in step S330.

[0090] As an embodiment, the optimal current parameter detection module may include the following steps S01 and S02:

[0091] Step S01, collect the face image sequence of the target user, perform facial analysis on the face image sequence, and obtain facial features; in step S01, the face image of the target user can be collected through the camera in the area where the target user is located or the CMOS image sensor of the waist muscle stimulation device to obtain a face image sequence, and then the face features are determined based on the image features of the specified face parts in each face image in the face image sequence. The aforementioned specified face parts can include but are not limited to one or more parts of the nose, mouth, eyes, facial skin, etc.

[0092] Specifically, the camera (i.e., monitor) in the area where the target user is located can be directly called to continuously shoot the target user to obtain a shot video or multiple continuous face images forming a face image sequence; if the aforementioned camera is unable to shoot, the CMOS image sensor of the waist muscle stimulation device can be started to shoot the face of the target user to form a face image sequence; further, the mouth, nose and part of the facial skin features that are easy to extract and have relatively stable positions are extracted from each frame of the face image as face image features; technical personnel in this field can also further analyze the face image sequence and extract other facial features as face features of the target user.

[0093] Step S02, based on facial features and user profile, determine whether the target user is a registered user. If it is determined that the target user is a registered user, determine the configured current parameters in the registered user's profile information as the optimal current parameters. If it is determined that the target user is not a registered user, extract user attribute information based on facial features, and determine the preset current parameters that match the user attribute information as the optimal current parameters. The user attribute information may include but is not limited to at least one attribute such as age and gender.

[0094] That is, in the embodiment of the present application, a user archive is stored in the cloud, and the user archive stores the registered facial features of the file-creating users who have registered in the intelligent muscle stimulation system (i.e., the facial features of the file-creating users) and information related to the personalized stimulation configuration parameters corresponding to the users; then in step S02, it can be determined whether the target user is a registered user based on the currently extracted facial features. When there is a registered facial feature matching the facial feature in the user archive, the target user is confirmed as the file-creating user, and the file-creating user corresponding to the matching registered facial feature is confirmed as the target user, and the configuration current parameters pre-set by the file-creating user in the file creation information are further determined as the optimal current parameters of the target user; when there is no registered facial feature matching the facial feature in the user archive, it is confirmed that the target user is not the file-creating user, and the age and gender (i.e., user attribute information) of the target user are identified based on the facial features, and then based on the mapping relationship between the user attribute information and the preset current parameters stored locally or in the cloud, the preset current parameters matching the age and gender of the aforementioned target user are set as the optimal current parameters.

[0095] As an embodiment, the motion state detection module determines the motion mode parameters and specifically may include: the intelligent muscle stimulation system controls the acceleration sensor on the waist muscle stimulation device to start, and detects the current motion state value of the target user in the second time period through the acceleration sensor; the ratio of the current motion state value to the normal motion state value is determined as the motion index; if the motion index is less than or equal to the first motion threshold, the motion state is determined to be a no-motion mode, and the motion mode parameter is the first motion parameter; if the motion index is greater than the first motion threshold and less than or equal to the second motion threshold, the motion state is determined to be a motion mode, and the motion mode parameter is the second motion parameter; if the motion index is greater than the second motion threshold, the motion state is determined to be a high motion mode, and the motion mode parameter is determined to be a third motion parameter; wherein, the first motion threshold is less than the second motion threshold.

[0096] It should be understood that the current motion state value may be but is not limited to the average motion speed value of the lumbar muscle stimulation device in the second time period, and the average motion speed value may be but is not limited to the average of the running speeds of the lumbar muscle stimulation device in the horizontal direction or the vertical direction; the aforementioned normal motion state value may be the average value of the motion speed of the lumbar muscle stimulation device under normal working conditions stored in the cloud.

[0097] For ease of understanding, a specific example is given in the embodiment of the present application. In this example, the average value of the movement speed of the lumbar muscle stimulation device in the vertical direction during the second period is used as the current movement state value. The first movement threshold and the second movement threshold are set to 100% and 150% respectively, and the first movement parameter, the second movement parameter, and the third movement parameter are set to 1, 2, and 3 respectively. Let the current movement state value / normal movement state value be V. When V <= 100%, that is, when the current movement state value is less than or equal to the normal movement state value, the movement state is determined to be the no-movement mode, and the movement mode parameter is set to 1; if 100% < V <= 150%, the movement state is determined to be the movement mode, and the movement mode parameter is set to 2; if 150% < V, the movement state is determined to be the high-movement mode, and the movement mode parameter is set to 3.

[0098] As an embodiment, please continue to refer to Figure 2 , the electrode patch unit may include N electrode patches. Different electrode patches among the N electrode patches may be arranged at different positions of the lumbar muscle stimulation device. Thus, in step S3401, the electrode patch current mode may be determined in the following manner:

[0099] Detect the current current intensity of the N electrode patches through a current sensor, and determine the average value of the current current intensities of all or at least two of the N electrode patches as the first current intensity value; determine the currently set current intensity of the lumbar muscle stimulation device as the second current intensity value; determine the ratio of the first current intensity value to the second current intensity value as the current intensity index; if the current intensity index is less than the first current ratio, determine the electrode patch current mode as the normal mode; if the current intensity index is greater than or equal to the first current ratio and less than the second current ratio, determine the electrode patch current mode as the overcurrent mode; if the current intensity index is greater than the second current ratio, determine the electrode patch current mode as the abnormal mode.

[0100] The first current intensity value and the second current intensity value may include, but are not limited to, the current value and / or frequency of the waist muscle stimulation device, and the technicians in this field can set it according to actual needs; the first current ratio is less than the second current ratio, and the first current ratio and the second current ratio are not less than 1, such as the first current ratio and the second current ratio can be set to 12% and 200% respectively, but not limited to; then, when the current intensity index is less than 120%, it indicates that the current first current intensity value is less than the set second current intensity value, and there is no current overcurrent phenomenon, thereby determining that the electrode current mode is normal mode; the current intensity index is greater than or equal to 120% and less than When the current intensity index is greater than or equal to 200%, it indicates that the current first current intensity value is greater than the set second current intensity value, and the current intensity of the lumbar muscle stimulation device is too large and an overcurrent occurs, thereby determining that the electrode current mode is an overcurrent mode; when the current intensity index is greater than or equal to 200%, it indicates that the current first current intensity value is much greater than the set second current intensity value, and the current intensity of the lumbar muscle stimulation device is too large and may easily cause a safety accident, thereby determining that the electrode current mode is an abnormal mode, and then a safety reminder message can be issued through the voice prompter on the lumbar muscle stimulation decoration to remind the target user that the electrode of the lumbar muscle stimulation device has a high overcurrent and cannot be used.

[0101] As an embodiment, in step S3402, a limiting impedance value can be determined based on the first current intensity value. After the current of the lumbar muscle stimulation device is adjusted based on the limiting impedance value by the current regulator, step S3401 can be re-executed to re-detect the electrode current intensity of the electrode unit to determine the electrode current mode; the electrode current mode re-determined is an overcurrent mode or an abnormal mode, indicating that the first current adjustment performed in step S3402 is invalid, and the second current intensity adjustment is asynchronously performed; if the electrode current mode re-determined is a normal mode, it indicates that the first current adjustment performed in step S3402 is successful, and the overcurrent protection is determined to be successful, and the relevant data can be uploaded to the cloud, and the relevant data of the successful overcurrent protection can be displayed to the target user through the APP used by the target user.

[0102] Furthermore, the aforementioned second current intensity control may specifically include: performing a second current adjustment on the above-mentioned lumbar muscle stimulation device according to the second current intensity value; after the second current adjustment, determining the electrode current mode again based on the electrode current intensity of the electrode unit; if the electrode current mode determined again is an overcurrent mode or an abnormal mode, it is determined that the overcurrent protection has failed, and a first reminder message is generated, and the above-mentioned first reminder message is used to notify that the electrode current of the above-mentioned lumbar muscle stimulation device is abnormal and cannot be adjusted; if the electrode current mode determined again is a normal mode, it is determined that the overcurrent protection is successful, and the relevant data can be uploaded to the cloud, and the relevant data of the successful overcurrent protection can be displayed to the target user through the APP used by the target user.

[0103] In the method based on automatic overcurrent protection of the lumbar muscle stimulation device provided in the embodiment of the present application, not only can the current condition of the lumbar muscle stimulation device be monitored in a timely manner, but also multiple intelligent current adjustments can be performed when the current intensity is abnormal, thereby improving the safety of the lumbar muscle stimulation device and the user experience.

[0104] Please refer to Figure 4 Based on the same inventive concept, the embodiment of the present application also provides a device based on automatic overcurrent protection of a waist muscle stimulation device, including a memory 410 and a processor 420, wherein the memory 410 is used to store computer instructions, and the processor 420 is used to execute the computer instructions to implement the above Figure 3 Any of the methods illustrated; since the device is the physical device of the method provided in the embodiment of the present application, and the principle of solving the problem by the physical device is similar to that of the method, the implementation of the physical device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0105] Based on the same inventive concept, the embodiment of the present disclosure provides a computer storage medium, the computer storage medium includes: a computer program code, when the computer program code is run on a computer, the computer executes the above Figure 3 Since the principle of solving the problem by the computer storage medium is similar to that of the method, the implementation of the computer storage medium can refer to the implementation of the method, and the repeated parts will not be repeated.

[0106] In the specific implementation process, the computer storage medium may include: Universal Serial Bus Flash Drive (USB), mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other storage media that can store program codes.

[0107] Based on the same inventive concept, the embodiment of the present disclosure further provides a computer program product, which includes: a computer program code, when the computer program code is run on a computer, the computer executes the above-mentioned Figure 3 Since the principle of solving the problem by the above computer program product is similar to the above Figure 3 It is shown that any one of the methods is similar, so the implementation of the above-mentioned computer program product can refer to the implementation of the method, and the repeated parts are not repeated.

[0108] The computer program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0109] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0110] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for automatic overcurrent protection of a waist muscle stimulation device, characterized in that: Applied to an intelligent muscle stimulation system, the intelligent muscle stimulation system at least comprises a waist muscle stimulation device, the waist muscle stimulation device is provided with an acceleration sensor, an electromyography sensor, and an electrode sheet unit; the method comprises: The target user is a user wearing a waist muscle stimulation device, wherein the target user collects a myoelectric signal parameter sequence of the target user in the first period of time through an electromyographic sensor, and determines a first electrical stimulation mode according to the myoelectric signal parameter sequence. When the first electrical stimulation mode is an abnormal mode, performing first current intensity regulation; When the first electrical stimulation mode is a normal mode, the second electrical stimulation mode is determined based on the optimal current parameter and the motion mode parameter, and the first current intensity regulation is performed when the second electrical stimulation mode is an abnormal mode; wherein the optimal current parameter is determined based on a user profile and a face image of a target user, and the motion mode parameter is determined by detecting the motion state of the target user through an acceleration sensor; The first current intensity control includes: determining the electrode current mode based on the electrode current intensity of the electrode unit; when the electrode current mode is an overcurrent mode, performing a first current adjustment on the lumbar muscle stimulation device based on the electrode current intensity; when the electrode current mode is an abnormal mode, pausing the operation of the lumbar muscle stimulation device and issuing a reminder message; when the electrode current mode is a normal mode, determining that the current of the lumbar muscle stimulation device is normal.

2. The method according to claim 1, characterized in that Before determining the second electrical stimulation mode based on the optimal current parameters and the motion pattern parameters, the method further includes: Collecting a facial image sequence of a target user, performing facial analysis on the facial image sequence, and obtaining facial features; If the target user is determined to be a profiled user based on the facial features and the user profile library, the configuration current parameter in the profile information of the target user is determined as the optimal current parameter; If it is determined based on facial features and the user archive that the target user is not a registered user, user attribute information is extracted based on the facial features, and the preset current parameters matching the user attribute information are determined as the optimal current parameters.

3. The method according to claim 2, characterized in that The step of collecting a face image sequence of a target user and performing facial analysis on the face image sequence to obtain facial features includes: In response to the waist muscle stimulation device being powered on, detecting a network connection status of the waist muscle stimulation device; If the network connection state is abnormal, a voice reminder signal is issued through a voice prompter; if the network connection is normal, a face image of the target user is collected through a camera in the area where the target user is located or a CMOS image sensor of a waist muscle stimulation device to obtain a face image sequence; The facial features are determined based on the image features of the designated face part in each face image in the facial image sequence.

4. The method according to claim 1, characterized in that Before determining the second electrical stimulation mode based on the optimal current parameters and the motion pattern parameters, the method further includes: Detecting the current motion state value of the target user in the second period by using an acceleration sensor; The ratio of the current motion state value to the normal motion state value is determined as the motion index; If the motion index is less than or equal to the first motion threshold, the motion state is determined to be a no-motion mode, and the motion mode parameter is the first motion parameter; if the motion index is greater than the first motion threshold and less than or equal to the second motion threshold, the motion state is determined to be a motion mode, and the motion mode parameter is the second motion parameter; if the motion index is greater than the second motion threshold, the motion state is determined to be a high motion mode, and the motion mode parameter is determined to be the third motion parameter; wherein the first motion threshold is less than the second motion threshold.

5. The method according to claim 1, characterized in that The electromyographic signal parameter sequence includes M electromyographic signal parameters, where M is an integer greater than 1; the electromyographic signal parameter sequence of the target user in the first period of time is collected by the electromyographic sensor, and the first electrical stimulation mode is determined according to the electromyographic signal parameter sequence, including: Determine the maximum and minimum values ​​of the electromyographic signal parameters contained in the electromyographic signal parameter sequence; determining a difference between the maximum value and the minimum value as a first electrical stimulation index; If the first electrical stimulation index is greater than or equal to the first electromyographic signal threshold, the first electrical stimulation mode is determined to be an abnormal mode; if the first electrical stimulation index is less than the first electromyographic signal threshold, the first electrical stimulation mode is determined to be a normal mode.

6. The method according to claim 1, characterized in that The determining of the second electrical stimulation mode based on the optimal current parameter and the motion pattern parameter comprises: Determine the current electromyographic signal change value of the target user in the third period through the electromyographic sensor; And obtain the normal electromyographic signal change value from the cloud according to the optimal current parameters and motion pattern parameters; The ratio of the current electromyographic signal change value to the normal electromyographic signal change value is determined as the second electrical stimulation index; If the second electrical stimulation index is less than or equal to the second electromyographic signal threshold, the second electrical stimulation mode is determined to be an abnormal mode; if the second electrical stimulation index is greater than the second electromyographic signal threshold, the second electrical stimulation mode is determined to be a normal mode, and the second electromyographic signal threshold is less than 1.

7. The method according to any one of claims 1 to 6, characterized in that: The electrode sheet unit includes N electrode sheets, where N is an integer greater than 1, and the electrode sheet current mode is determined based on the electrode sheet current intensity of the electrode sheet unit, including: detecting the current current intensity of the N electrode sheets by a current sensor, and determining the average value of the current current intensity obtained by the detection as a first current intensity value; Determine the current intensity of the waist muscle stimulation device as the second current intensity value; Determine a ratio of the first current intensity value to the second current intensity value as a current intensity index; If the current intensity index is less than the first current ratio, the electrode sheet current mode is determined to be a normal mode; if the current intensity index is greater than or equal to the first current ratio and less than the second current ratio, the electrode sheet current mode is determined to be an overcurrent mode; if the current intensity index is greater than the second current ratio, the electrode sheet current mode is determined to be an abnormal mode; The first current ratio is smaller than the second current ratio, and both the first current ratio and the second current ratio are not smaller than 1.

8. The method according to claim 7, characterized in that The first current adjustment of the waist muscle stimulation device based on the current intensity of the electrode sheet includes: Determine a limiting impedance value based on the first current intensity value, and adjust the current of the waist muscle stimulation device based on the limiting impedance value by a current regulator; After the first current adjustment is performed on the waist muscle stimulation device based on the current intensity of the electrode sheet, the method further includes: re-determining the electrode sheet current mode based on the electrode sheet current intensity of the electrode sheet unit; If the re-determined electrode sheet current mode is an overcurrent mode or an abnormal mode, a second current intensity control is performed; If the re-determined electrode sheet current mode is the normal mode, it is determined that the overcurrent protection is successful.

9. The method according to claim 8, characterized in that The second current intensity control comprises: According to the second current intensity value, the waist muscle stimulation device is subjected to a second current adjustment; After the second current adjustment, the electrode sheet current mode is determined again based on the electrode sheet current intensity of the electrode sheet unit; If the electrode current mode determined again is an overcurrent mode or an abnormal mode, it is determined that the overcurrent protection fails, and a first reminder message is generated, wherein the first reminder message is used to notify that the electrode current of the waist muscle stimulation device is abnormal and cannot be adjusted; If the electrode current mode determined again is the normal mode, it is determined that the overcurrent protection is successful.

10. An intelligent waist muscle stimulation system, characterized in that: The waist muscle stimulation system at least comprises a waist muscle stimulation device and an intelligent control center, wherein the waist muscle stimulation device is provided with an acceleration sensor, an electromyographic sensor, and an electrode unit; the electromyographic sensor is used to collect an electromyographic signal parameter sequence of a target user wearing the waist muscle stimulation device in a first period of time; The intelligent control center is used to determine the first electrical stimulation mode according to the electromyographic signal parameter sequence, and perform the first current intensity regulation when the first electrical stimulation mode is an abnormal mode; when the first electrical stimulation mode is a normal mode, determine the second electrical stimulation mode based on the optimal current parameter and the motion mode parameter, and perform the first current intensity regulation when the second electrical stimulation mode is an abnormal mode; wherein the optimal current parameter is determined based on the user profile and the face image of the target user, and the motion mode parameter is determined by detecting the motion state of the target user by the acceleration sensor; The intelligent control center is used to perform the following in the first current intensity regulation: determining the electrode current mode based on the electrode current intensity of the electrode unit; when the electrode current mode is an overcurrent mode, performing a first current adjustment on the lumbar muscle stimulation device based on the electrode current intensity; pausing the operation of the lumbar muscle stimulation device and issuing a reminder message when the electrode current mode is an abnormal mode; and determining that the current of the lumbar muscle stimulation device is normal when the electrode current mode is a normal mode.

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