Stimulation method, device and equipment for improving eye fatigue and storage medium

Abstract

The invention discloses a stimulation method, device and equipment for improving eye fatigue and a storage medium. The stimulation method comprises the steps that electromyographic signals of electrodes around each eye are collected; performing preliminary analysis according to the amplitude and the time interval of the electromyographic signals, and determining the period of eye closing movement; selecting a plurality of continuous periods of electromyographic signals to form a signal sequence, and preprocessing the signal sequence; performing time domain analysis based on the signal sequence, and judging the fatigue degree of muscles around the eyes by using a time domain index; performing frequency domain analysis on the signal sequence, and judging the fatigue degree of muscles around the eyes according to a frequency index; when the fatigue degree of the muscles around the eyes reaches the stimulation standard, the collection of the electromyographic signals is stopped, and current is generated and sent to the corresponding electrodes for stimulation physiotherapy; and the steps are repeatedly executed until the physical therapy duration is reached or the muscles are recovered to be healthy. The fatigue degree is detected by collecting the electromyographic signals of the muscles around the eyes in real time, the corresponding current is generated, stimulation physiotherapy is carried out, and eye fatigue is improved and relieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of rehabilitation stimulation, and specifically relates to a stimulation method, device, equipment and storage medium for improving eye fatigue. Background Art

[0002] The severance, injury, inflammation and compression of the facial nerve 7th cranial nerve can also cause the orbicularis oculi muscle movement disorder controlled by the facial nerve. Most people overuse their eyes. Overusing the eyes can cause soreness and pain in the muscles around the eyes, as well as dry eyes.

[0003] During the periodic contraction or static stretching process, muscles will gradually enter a fatigue state. How to effectively identify muscle fatigue is of great significance for further treatment and efficacy evaluation.

[0004] When muscles continue to contract for a period of time, the physiological characteristics of the muscles change, manifested as a decrease in excitability, conductivity and contractility, and a decrease in the physical extensibility and elasticity of the muscles. The muscles become unable to generate the required force. This phenomenon is called muscle fatigue.

[0005] Muscle fatigue is a gradual process, and in the early stages, it can be restored through proper rest or physical therapy. However, for patients with persistent muscle fatigue, it will lead to irreversible sports injuries or muscle atrophy.

[0006] Long-term muscle fatigue can lead to chronic pain, musculoskeletal diseases and even disability. By exercising your muscles appropriately, you can greatly improve your muscles' ability to resist fatigue.

[0007] However, at present, there is no equipment or method that can effectively monitor and evaluate eye muscle strength and fatigue status, and provide more accurate guidance on exercise volume and intensity, so as to achieve corresponding rehabilitation training or rehabilitation stimulation. Summary of the invention

[0008] In order to solve the above technical problems, the present invention proposes a stimulation method, device, equipment and storage medium for improving eye fatigue.

[0009] In order to achieve the above object, the technical solution of the present invention is as follows:

[0010] In a first aspect, the present invention discloses a stimulation method for improving eye fatigue, comprising:

[0011] Step S2: collecting electromyographic signals from electrodes around each eye;

[0012] Step S3: Perform preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the period of eye-closing movement;

[0013] Step S4: Selecting several consecutive cycles of electromyographic signals to form a signal sequence, and preprocessing it;

[0014] Step S5: performing time domain analysis based on the signal sequence, and judging the fatigue degree of the muscles around the eyes by using time domain indicators;

[0015] Step S6: converting the signal sequence from the time domain to the frequency domain, performing frequency domain analysis, and judging the fatigue degree of the muscles around the eyes by the frequency index;

[0016] Step S7: Combine the judgment results of step S5 and step S6.

[0017] When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy;

[0018] Step S8: Repeat steps S2 to S7 until the treatment duration is reached or the muscles are restored to health.

[0019] Based on the above technical solution, the following improvements can be made:

[0020] As a preferred solution, the stimulation method further includes:

[0021] Step S1: Using a constant current source method or a constant voltage source method, the impedance between each electrode around the eye and the GND electrode is detected in turn.

[0022] If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin;

[0023] If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin;

[0024] When the impedance between all the electrodes around the eyes and the GND electrode is lower than the reference value, the subsequent steps are started and the physical therapy begins.

[0025] As a preferred solution, step S4 includes:

[0026] Step S4.1: Selecting a number of continuous cycles of electromyographic signals to form a signal sequence;

[0027] Step S4.2: low-pass filtering the signal sequence;

[0028] Step S4.3: removing the interfering notch;

[0029] Step S4.4: amplify the signal with variable gain;

[0030] Step S4.5: Perform ADC analog-to-digital conversion.

[0031] As a preferred solution, the time domain indicators include: mean value, amplitude histogram, and maximum amplitude value of the electromyographic signal;

[0032] Frequency indicators include: power spectral density.

[0033] In a second aspect, the present invention further discloses a stimulation device for improving eye fatigue, comprising:

[0034] A signal acquisition module, used to collect the electromyographic signals of the electrodes around each eye;

[0035] A cycle determination module, used for performing preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the cycle of the eye-closing movement;

[0036] A preprocessing module is used to select several continuous cycles of electromyographic signals to form a signal sequence and preprocess the signal sequence;

[0037] The time domain analysis module is used to perform time domain analysis based on the signal sequence and determine the fatigue degree of the muscles around the eyes with time domain indicators;

[0038] The frequency domain analysis module is used to convert the signal sequence from the time domain to the frequency domain, perform frequency domain analysis, and use the frequency index to determine the fatigue degree of the muscles around the eyes;

[0039] The stimulation module is used to combine the judgment results of the time domain analysis module and the frequency domain analysis module.

[0040] When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy;

[0041] The repeated execution module is used to repeatedly execute the methods in the signal acquisition module, the period determination module, the preprocessing module, the time domain analysis module, the frequency domain analysis module, and the stimulation module until the treatment time is reached or the muscles are restored to health.

[0042] As a preferred solution, the stimulation device further comprises:

[0043] The contact resistance detection module is used to detect the impedance between each electrode around the eye and the GND electrode in turn through a constant current source method or a constant voltage source method.

[0044] If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin;

[0045] If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin;

[0046] When the impedance between all electrodes around the eyes and the GND pole is lower than the reference value, the methods in the signal acquisition module, cycle determination module, preprocessing module, time domain analysis module, frequency domain analysis module, stimulation module, and repeated execution module are executed to start physical therapy.

[0047] As a preferred solution, the preprocessing module includes:

[0048] A selection unit, used for selecting a number of continuous cycles of electromyographic signals to form a signal sequence;

[0049] A low-pass filtering unit, used for performing low-pass filtering on the signal sequence;

[0050] An interference removal unit for removing interference notches;

[0051] An amplifying unit, used for variable gain amplifying the signal;

[0052] The analog-to-digital conversion unit is used to perform ADC analog-to-digital conversion.

[0053] As a preferred solution, the time domain indicators include: mean value, amplitude histogram, and maximum amplitude value of the electromyographic signal;

[0054] Frequency indicators include: power spectral density.

[0055] In a third aspect, the present invention further discloses a computing device, comprising:

[0056] one or more processors;

[0057] Memory;

[0058] and one or more programs, wherein the one or more programs are stored in a memory and configured to be executed by one or more processors, the one or more programs including instructions for any of the above-mentioned stimulation methods for improving eye fatigue.

[0059] In a fourth aspect, the present invention further discloses a storage medium storing one or more computer-readable programs, wherein the one or more programs include instructions suitable for being loaded by a memory and executing any one of the above-mentioned stimulation methods for improving eye fatigue.

[0060] The present invention discloses a stimulation method, device, equipment and storage medium for improving eye fatigue, which has the following beneficial effects:

[0061] The present invention detects the fatigue degree by collecting the electromyographic signals of the muscles around the eyes in real time, and generates corresponding electric current to perform stimulation therapy to improve and relieve eye fatigue. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 A flow chart of a stimulation method for improving eye fatigue provided by an embodiment of the present invention.

[0064] Figure 2 A head-mounted eye stimulation device is provided in an embodiment of the present invention.

[0065] Figure 3 A time domain diagram of preprocessing provided by an embodiment of the present invention.

[0066] Figure 4 A time domain analysis diagram of an electromyographic signal sequence provided by an embodiment of the present invention;

[0067] (a) is the graph at acquisition time one;

[0068] (b) is the graph at acquisition time 2;

[0069] (c) is the graph of acquisition time three;

[0070] (d) is the graph at acquisition time four.

[0071] Figure 5 A frequency domain analysis diagram of an electromyographic signal sequence provided by an embodiment of the present invention;

[0072] (a) is the graph at acquisition time one;

[0073] (b) is the graph at acquisition time 2;

[0074] (c) is the graph at acquisition time three.

[0075] Figure 6 Experimental diagram provided for the embodiment of the present invention;

[0076] (a) is a diagram related to the reference electrode;

[0077] (b) is a diagram of the electrodes around the eyes.

[0078] Figure 7 A block diagram of a computing device provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0079] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0081] The expression of “comprising” an element is an “open” expression, which merely means that a corresponding component or step exists, and should not be interpreted as excluding additional components or steps.

[0082] In order to achieve the purpose of the present invention, in some embodiments of the stimulation method for improving eye fatigue, the present invention is based on a head-mounted eye stimulation device for stimulation. In this embodiment, the structure of the head-mounted eye stimulation device is similar to the structure of glasses, but it is worth noting that the present invention is not limited to the head-mounted eye stimulation device with the structure of glasses.

[0083] like Figure 1 As shown, the stimulation method of the present invention specifically includes:

[0084] Step S102: collecting electromyographic signals of electrodes around each eye;

[0085] Step S103: Perform preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the period of eye-closing movement;

[0086] Step S104: selecting a number of continuous cycles of electromyographic signals to form a signal sequence, and preprocessing the signal sequence;

[0087] Step S105: performing time domain analysis based on the signal sequence, and determining the fatigue degree of the muscles around the eyes with time domain indicators;

[0088] Time domain indicators include: mean value, amplitude histogram, and maximum amplitude of electromyographic signal;

[0089] Step S106: converting the signal sequence from the time domain to the frequency domain, performing frequency domain analysis, and judging the fatigue degree of the muscles around the eyes by the frequency index;

[0090] Frequency indicators include: power spectral density;

[0091] Step S107: Combine the judgment results of step S105 and step S106.

[0092] When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy;

[0093] Step S108: Repeat steps S102 to S107 until the treatment duration is reached or the muscles are restored to health.

[0094] In order to further optimize the implementation effect of the present invention, in some other implementations, the remaining characteristic technologies are the same, except that, before physical therapy, in order to ensure good contact of the electrodes, the stimulation method also includes step S101.

[0095] Step S101 is specifically as follows:

[0096] The impedance between each electrode around the eye and the GND electrode is detected in turn by the constant current source method or the constant voltage source method.

[0097] If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin;

[0098] If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin;

[0099] When the impedance between all the electrodes around the eyes and the GND electrode is lower than the reference value, the subsequent steps are started and the physical therapy begins.

[0100] like Figure 2 As shown, specifically, for a head-mounted eye stimulation device with a glasses structure, the user wearing the glasses is used as the coordinate system:

[0101] On the left and right glasses legs, transcutaneous electrodes LegL and LegR are respectively arranged to be in direct contact with the skin;

[0102] At the nose pads of the eyeglass frames, transcutaneous electrodes are provided that are in direct contact with the skin: NoseL and NoseR.

[0103] GndL and GndR are the power grounds on the left and right glasses legs respectively. GndL and GndR are short-circuited to increase the grounding area and reduce the grounding resistance. For the sake of ease of description, GND pole is used to represent GndL and GndR.

[0104] The above constant current source method is specifically as follows:

[0105] The system output current is fixed at Ic, and the voltage Vc output by each electrode is collected. According to Rc=Vc / Ic, the impedance Rc from each electrode to the GND pole is calculated.

[0106] The above-mentioned constant pressure source method is specifically as follows:

[0107] The system output voltage is fixed at Vv, and the current Iv output by each electrode is collected. According to Rv=Vv / Iv, the impedance Rv from each electrode to the GND pole is calculated.

[0108] Step S101 detects the impedance between LegL, LegR, NoseL and NoseR and the GND electrode in sequence, that is, the sum of the resistances of the links from each electrode through the skin in contact with it, through the tissues of the human body and back to the GND electrode.

[0109] If the impedance between one electrode and the GND pole is relatively large, but not the others, it means that the electrode is not in good contact; if the impedance between all electrodes and the GND pole is large and greater than the reference value, then the GND pole is not in good contact.

[0110] The present invention determines the grounding state according to the detection of skin contact resistance and prompts the user to adjust the contact state.

[0111] When the contact state is adjusted, step S102 starts to collect electromyographic signals.

[0112] Step S103 is to determine the cycle. Record a string of electromyographic signals, because electromyographic signals are bipolar, that is, there are positive and negative voltages. After square processing, they all become positive values. After smoothing and filtering to remove noise interference, it is easy to identify the maximum value of the signal in the time domain, thereby determining a cycle of muscle movement.

[0113] Further, step S104 includes:

[0114] Step S4.1: Selecting a number of continuous cycles of electromyographic signals to form a signal sequence;

[0115] Step S4.2: low-pass filtering the signal sequence;

[0116] Step S4.3: removing the interfering notch;

[0117] Step S4.4: amplify the signal with variable gain;

[0118] Step S4.5: Perform ADC analog-to-digital conversion.

[0119] Figure 3 In the figure, the top figure is: the time domain signal after filtering; the middle figure is: the time domain signal after square root; the bottom figure is: the smoothed time domain signal.

[0120] The present invention uses time domain indicators to reflect the change of signal amplitude in the time dimension, including: the mean value, amplitude histogram and maximum amplitude of the electromyographic signal. The strength is determined by the amplitude of the electromyographic signal. When the amplitude becomes lower, the muscle stretching force becomes smaller, which means fatigue begins.

[0121] like Figure 4 As shown in (a), (b), (c), and (d) in the figure, we can see that muscles gradually become fatigued after a period of time.

[0122] Figure 4 In (a), (b), (c), and (d), from top to bottom, the top picture is: the EMG acquisition signal in the time domain, which is a cluster of EMG signals corresponding to muscle movements at different times; the middle picture is: the histogram corresponding to the EMG signal, which statistics the distribution of different EMG sizes; the bottom picture shows the mean and maximum amplitude of the EMG signal.

[0123] The present invention uses frequency domain indicators to reflect the change of signal amplitude in the frequency dimension, including: power spectrum density. When fatigue occurs, the power spectrum density mostly drifts from high frequency to low frequency. For example: when the frequency is low, muscle fatigue is aggravated.

[0124] The electromyographic signal FFT (after Fourier transformation) is processed using any of the following methods.

[0125] Method 1: Find the value of the maximum amplitude of the ordinate corresponding to the frequency of the abscissa in the frequency domain. This method is easier to identify and has less interference with the received data.

[0126] Method 2: Find the frequency range around the 1 / 2 height amplitude corresponding to the maximum amplitude, that is, frequency range / corresponding maximum amplitude, similar to Q value, center frequency / half-height width. This method must be processed on the smoothed frequency domain signal, otherwise the signal interference is large and the recognition error is large.

[0127] The signal sequence in the time domain is directly converted by FFT. Although the maximum amplitude in the frequency domain and the corresponding frequency can be identified, the half-width is difficult to identify. In order to obtain a better frequency data analysis effect, the present invention adopts FFT to analyze the data of multiple muscle movement cycles in general, obtains better averaging and smoothing effects, and reduces noise interference. Therefore, from the analysis results in the frequency domain, it is easy to find the maximum value of the spectrum and the frequency of the horizontal axis corresponding to the maximum value. According to whether the maximum value is reduced and whether the frequency component is reduced, the fatigue state of the muscle in different time periods can be judged. Figure 5 As shown in (a), (b), and (c), they are frequency domain analysis diagrams at different times.

[0128] In a specific embodiment, Figure 6 As shown, Figure 6 (a) in the middle is the reference electrode, which is far away from the moving muscles and does not move or moves in small amounts, serving as a reference for background movement, such as electrocardiogram, breathing, etc. Figure 6 (b) shows the recorded electromyography of the target eye surrounding muscles, removing Figure 6 After removing the background signal in (a), the time domain waveform and frequency domain power spectrum can be calculated.

[0129] Among them: the top picture is: the EMG signal recorded in the time domain, which is in clusters, that is, when the muscle moves, there is a large EMG, and the rest of the time it is small, the system noise level. The middle picture is the case of smoothing after the square root of the data, which is equivalent to taking all the signals positive and filtering the high-frequency interference. The cluster effect of the signal can be clearly seen. The bottom picture is: the analysis result of the frequency domain after FFT Fourier transform, which can clearly show the frequency and amplitude of the corresponding main frequency component.

[0130] In some embodiments, the present invention can also process the electromyographic signal to determine the corresponding eye closing mode: whether it is rapid eye closing, long eye closing, forced eye closing, etc., so as to further determine the degree of eye fatigue.

[0131] In some other embodiments, the present invention further discloses a stimulation device for improving eye fatigue, comprising:

[0132] A signal acquisition module, used to collect the electromyographic signals of the electrodes around each eye;

[0133] A cycle determination module, used for performing preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the cycle of the eye-closing movement;

[0134] A preprocessing module is used to select several continuous cycles of electromyographic signals to form a signal sequence and preprocess the signal sequence;

[0135] The time domain analysis module is used to perform time domain analysis based on the signal sequence and determine the fatigue degree of the muscles around the eyes with time domain indicators;

[0136] The frequency domain analysis module is used to convert the signal sequence from the time domain to the frequency domain, perform frequency domain analysis, and use the frequency index to determine the fatigue degree of the muscles around the eyes;

[0137] The stimulation module is used to combine the judgment results of the time domain analysis module and the frequency domain analysis module.

[0138] When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy;

[0139] The repeated execution module is used to repeatedly execute the methods in the signal acquisition module, the period determination module, the preprocessing module, the time domain analysis module, the frequency domain analysis module, and the stimulation module until the treatment time is reached or the muscles are restored to health.

[0140] Furthermore, the stimulation device further comprises:

[0141] The contact resistance detection module is used to detect the impedance between each electrode around the eye and the GND electrode in turn through a constant current source method or a constant voltage source method.

[0142] If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin;

[0143] If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin;

[0144] When the impedance between all electrodes around the eyes and the GND pole is lower than the reference value, the methods in the signal acquisition module, cycle determination module, preprocessing module, time domain analysis module, frequency domain analysis module, stimulation module, and repeated execution module are executed to start physical therapy.

[0145] Furthermore, the preprocessing module includes:

[0146] A selection unit, used for selecting a number of continuous cycles of electromyographic signals to form a signal sequence;

[0147] A low-pass filtering unit, used for performing low-pass filtering on the signal sequence;

[0148] An interference removal unit for removing interference notches;

[0149] An amplifying unit, used for variable gain amplifying the signal;

[0150] The analog-to-digital conversion unit is used to perform ADC analog-to-digital conversion.

[0151] Furthermore, the time domain indicators include: mean value, amplitude histogram, and maximum amplitude value of the EMG signal;

[0152] Frequency indicators include: power spectral density.

[0153] Furthermore, it should be noted that: the stimulation device for improving eye fatigue provided in the above embodiment only uses the division of the above functional modules as an example when performing eye stimulation. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the stimulation device for improving eye fatigue can be divided into different functional modules to complete all or part of the functions described above.

[0154] In addition, the stimulation device for improving eye fatigue provided in the above embodiment and the stimulation method for improving eye fatigue belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0155] In addition, in some other embodiments, Figure 7As shown, the present invention also discloses a computing device, including:

[0156] One or more processors 201;

[0157] Memory 202;

[0158] And one or more programs, wherein the one or more programs are stored in the memory 202 and are configured to be executed by one or more processors 201, and the one or more programs include instructions for the stimulation method for improving eye fatigue disclosed in the above embodiments.

[0159] The processor 201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 201 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 201 may also include a main processor and a coprocessor. The main processor is a processor for processing data in an awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 201 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 201 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0160] The memory 202 may include one or more computer-readable storage media, which may be non-transitory. The memory 202 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 202 is used to store at least one instruction, which is used to be executed by the processor 201 to implement the stimulation method for improving eye fatigue provided by the method embodiment of the present invention.

[0161] In addition, the computing device may optionally include: a peripheral device interface and at least one peripheral device. The processor 201, the memory 202 and the peripheral device interface may be connected via a bus or a signal line. Each peripheral device may be connected to the peripheral device interface via a bus, a signal line or a circuit board. Schematically, the peripheral devices include but are not limited to: a radio frequency circuit, a touch display screen, an audio circuit, and a power supply.

[0162] Of course, the computing device may also include fewer or more components, which is not limited in this embodiment.

[0163] In addition, in some other embodiments, the present invention also discloses a storage medium, which stores one or more computer-readable programs, and the one or more programs include instructions, and the instructions are suitable for being loaded by a memory and executing the stimulation method for improving eye fatigue disclosed in the above embodiments.

[0164] The present invention discloses a stimulation method, device, equipment and storage medium for improving eye fatigue, which has the following beneficial effects:

[0165] The present invention detects the fatigue degree by collecting the electromyographic signals of the muscles around the eyes in real time, and generates corresponding electric current to perform stimulation therapy to improve and relieve eye fatigue.

[0166] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for illustrating the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which shall fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A stimulation method for improving eye fatigue, characterized in that: include: Step S2: collecting electromyographic signals from electrodes around each eye; Step S3: Perform preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the period of eye-closing movement; Step S4: Selecting several consecutive cycles of electromyographic signals to form a signal sequence, and preprocessing it; Step S5: performing time domain analysis based on the signal sequence, and judging the fatigue degree of the muscles around the eyes by using time domain indicators; Step S6: converting the signal sequence from the time domain to the frequency domain, performing frequency domain analysis, and judging the fatigue degree of the muscles around the eyes by the frequency index; Step S7: Combine the judgment results of step S5 and step S6. When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy; Step S8: Repeat steps S2 to S7 until the treatment duration is reached or the muscles are restored to health.

2. The stimulation method according to claim 1, characterized in that: The stimulation method further comprises: Step S1: Using a constant current source method or a constant voltage source method, the impedance between each electrode around the eye and the GND electrode is detected in turn. If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin; If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin; When the impedance between all the electrodes around the eyes and the GND electrode is lower than the reference value, the subsequent steps are started and the physical therapy begins.

3. The stimulation method according to claim 1, characterized in that: The step S4 comprises: Step S4.1: Selecting a number of continuous cycles of electromyographic signals to form a signal sequence; Step S4.2: low-pass filtering the signal sequence; Step S4.3: removing the interfering notch; Step S4.4: amplify the signal with variable gain; Step S4.5: Perform ADC analog-to-digital conversion.

4. The stimulation method according to any one of claims 1 to 3, characterized in that: The time domain indicators include: mean value, amplitude histogram, and maximum amplitude value of the electromyographic signal; The frequency index includes: power spectrum density.

5. A stimulation device for improving eye fatigue, characterized in that: include: A signal acquisition module, used to collect the electromyographic signals of the electrodes around each eye; A cycle determination module, used for performing preliminary analysis based on the amplitude and time interval of the electromyographic signal to determine the cycle of the eye-closing movement; A preprocessing module is used to select several continuous cycles of electromyographic signals to form a signal sequence and preprocess the signal sequence; The time domain analysis module is used to perform time domain analysis based on the signal sequence and determine the fatigue degree of the muscles around the eyes with time domain indicators; The frequency domain analysis module is used to convert the signal sequence from the time domain to the frequency domain, perform frequency domain analysis, and use the frequency index to determine the fatigue degree of the muscles around the eyes; The stimulation module is used to combine the judgment results of the time domain analysis module and the frequency domain analysis module. When the fatigue level of the muscles around the eyes reaches the stimulation standard, the collection of electromyographic signals will stop, and the current corresponding to the fatigue level will be generated and sent to the corresponding electrodes around the eyes for a certain period of time for stimulation therapy; The repeated execution module is used to repeatedly execute the methods in the signal acquisition module, the period determination module, the preprocessing module, the time domain analysis module, the frequency domain analysis module, and the stimulation module until the treatment time is reached or the muscles are restored to health.

6. The stimulation device according to claim 5, characterized in that The stimulation device further comprises: The contact resistance detection module is used to detect the impedance between each electrode around the eye and the GND electrode in turn through a constant current source method or a constant voltage source method. If the impedance between any one or more electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact state between the corresponding electrode and the skin; If the impedance between all the electrodes around the eyes and the GND electrode exceeds the reference value, the user is prompted to adjust the contact between the GND electrode and the skin; When the impedance between all electrodes around the eyes and the GND pole is lower than the reference value, the methods in the signal acquisition module, cycle determination module, preprocessing module, time domain analysis module, frequency domain analysis module, stimulation module, and repeated execution module are executed to start physical therapy.

7. The stimulation device according to claim 5, characterized in that The preprocessing module comprises: A selection unit, used for selecting a number of continuous cycles of electromyographic signals to form a signal sequence; A low-pass filtering unit, used for performing low-pass filtering on the signal sequence; An interference removal unit for removing interference notches; An amplifying unit, used for variable gain amplifying the signal; The analog-to-digital conversion unit is used to perform ADC analog-to-digital conversion.

8. The stimulation device according to any one of claims 5 to 7, characterized in that: The time domain indicators include: mean value, amplitude histogram, and maximum amplitude value of the electromyographic signal; The frequency index includes: power spectrum density.

9. A computing device, characterized in that include: one or more processors; Memory; And one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, and one or more of the programs include instructions for the stimulation method for improving eye fatigue as described in any of claims 1-4 above.

10. A storage medium, characterized in that The storage medium stores one or more computer-readable programs, and the one or more programs include instructions, which are suitable for being loaded by the memory and executing the stimulation method for improving eye fatigue described in any one of claims 1-4.

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