Snore intervention method, snore intervention device, electronic equipment and storage medium

Abstract

The invention relates to a snore intervention method, a snore intervention device, electronic equipment and a storage medium, relates to the technical field of snore prevention appliance control, and is used for solving the problems that snore event recognition is inaccurate and overstimulation is prone to happening in the related art, and the snore intervention method comprises the steps that a sound signal generated in the sleep process of a target object is monitored, electromyographic signals of the target object are monitored, and features of the electromyographic signals are extracted; in response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold value and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold value, determining that a snoring event occurs; and generating an electrical stimulation signal matched with the sound signal and the electromyographic signal, and intervening the snoring event based on the electrical stimulation signal to eliminate the snoring event. According to the snoring intervention method provided by the embodiment of the invention, the recognition accuracy of the snoring event can be improved, the occurrence of mistaken stimulation is reduced, and side effects caused by excessive electrical stimulation can be avoided.

Description

Technical Field

[0001] The present disclosure relates to the technical field of device control for preventing snoring, and in particular to a snoring intervention method, a snoring intervention device, an electronic device and a storage medium. Background Art

[0002] Snoring is a common and frequently occurring disease with an increasing incidence rate. Its harm cannot be ignored. Frequent snoring not only affects the patient's sleep quality, but may also induce a series of serious health problems such as hypertension, coronary heart disease, and stroke. In addition, snoring may also be a warning sign of obstructive sleep apnea syndrome (OSA), which is characterized by partial or complete obstruction of the airway during sleep, leading to repeated episodes of apnea, decreased oxygen saturation, and interrupted sleep cycles. The long-term existence of OSA problems can pose a serious threat to life and health. Therefore, it is crucial to find a convenient and efficient treatment method.

[0003] Studies have shown that transcutaneous electrical stimulation can be used to treat OSA. By stimulating the pharyngeal nerve muscles, airway obstruction caused by OSA can be relieved. Neuromuscular electrical stimulation (NMES) can induce muscle movement or simulate normal voluntary muscle movement, thereby improving or restoring the function of pharyngeal muscles or muscle groups. Continuous electrical stimulation can promote the remodeling of the nervous system and compensate for the use of dormant synapses. NMES acts directly on the muscles and nerves at the site of the disease, which can enhance the excitability of the nerves that control the respiratory muscles and increase the strength and tension of local muscles. Upper airway collapse in the early stages of sleep is related to a decrease in genioglossus muscle tension, which is also the theoretical basis for NMES to restore airway patency, increase sleep breathing efficiency, and ultimately be used in the treatment of OSA. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a snoring intervention method, a snoring intervention device, an electronic device and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a snoring intervention method is provided, the method comprising: monitoring a sound signal generated during a target object's sleep, and monitoring an electromyographic signal of the target object, and extracting features of the electromyographic signal; determining that a snoring event has occurred in response to determining that a decibel value corresponding to the sound signal is greater than or equal to a decibel threshold, and a feature value corresponding to the electromyographic signal is greater than or equal to a feature threshold; generating an electrical stimulation signal that matches the sound signal and the electromyographic signal, and intervening in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0006] In some embodiments, the generation of an electrical stimulation signal that matches the sound signal and the electromyographic signal includes: determining the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal, the magnitude of the current amplitude being positively correlated with the decibel value of the sound signal; determining the current frequency of the electrical stimulation signal according to the characteristic value of the electromyographic signal, the magnitude of the current frequency being positively correlated with the characteristic value of the electromyographic signal; determining the duration of the electrical stimulation signal according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, the duration being positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal; generating an electrical stimulation signal that matches the current amplitude, the current frequency, and the duration.

[0007] In some embodiments, the current amplitude of the electrical stimulation signal is determined according to the decibel value of the sound signal according to the following formula:

[0008]

[0009] Where I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants.

[0010] In some embodiments, the monitoring of the electromyographic signal of the target object includes: monitoring the electromyographic signal of the target object through electrodes; intervening in the snoring event based on the electrical stimulation signal to eliminate the snoring event, including: time-division multiplexing the electrodes, controlling the electrodes to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than a decibel threshold and the characteristic value corresponding to the electromyographic signal is less than a characteristic threshold, and controlling the electrodes to stop outputting the electrical stimulation signal.

[0011] In some embodiments, the determination that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold, includes: filtering the sound signal using a low-pass filter, and filtering the electromyographic signal using a band-pass filter and a notch filter, and amplifying the electromyographic signal obtained by filtering through a multi-stage signal amplification circuit; dividing the filtered sound signal according to a time window with a first duration as a width and a second duration as a step length to obtain sound signals in multiple time windows, and dividing the amplified electromyographic signal according to a time window with a third duration as a width and a fourth duration as a step length to obtain electromyographic signals in multiple time windows, and taking the mean square value or root mean square value of the electromyographic signal in the time window as the characteristic value of the electromyographic signal; in response to the presence of a sound signal with a decibel value greater than or equal to the decibel threshold in the sound signals in the multiple time windows, determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and in response to the presence of an electromyographic signal with a characteristic value greater than or equal to the characteristic value threshold in the electromyographic signals in the multiple time windows, determining that the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold.

[0012] According to a second aspect of an embodiment of the present disclosure, a snoring intervention device is provided, comprising: a monitoring unit, for monitoring a sound signal generated during a target object's sleep, and monitoring an electromyographic signal of the target object, and extracting features of the electromyographic signal; a processing unit, for determining that a snoring event has occurred in response to determining that a decibel value corresponding to the sound signal is greater than or equal to a decibel threshold, and a feature value corresponding to the electromyographic signal is greater than or equal to a feature threshold; and an intervention unit, for generating an electrical stimulation signal that matches the sound signal and the electromyographic signal, and intervening in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0013] In some embodiments, the intervention unit is used to generate an electrical stimulation signal that matches the sound signal and the electromyographic signal in the following manner: determine the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal, and the magnitude of the current amplitude is positively correlated with the decibel value of the sound signal; determine the current frequency of the electrical stimulation signal according to the characteristic value of the electromyographic signal, and the magnitude of the current frequency is positively correlated with the characteristic value of the electromyographic signal; determine the duration of the electrical stimulation signal according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, and the duration is positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal; generate an electrical stimulation signal that matches the current amplitude, the current frequency, and the duration.

[0014] In some embodiments, the intervention unit determines the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal according to the following formula:

[0015]

[0016] Where I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants.

[0017] In some embodiments, the monitoring unit monitors the electromyographic signal of the target object in the following manner: monitoring the electromyographic signal of the target object through electrodes; the intervention unit intervenes in the snoring event based on the electrical stimulation signal in the following manner to eliminate the snoring event: time-division multiplexing the electrodes, controlling the electrodes to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than a decibel threshold, and the characteristic value corresponding to the electromyographic signal is less than a characteristic threshold, and controlling the electrodes to stop outputting the electrical stimulation signal.

[0018] In some embodiments, the processing unit determines that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the eigenvalue corresponding to the electromyographic signal is greater than or equal to the eigenvalue threshold in the following manner: filtering the sound signal using a low-pass filter, and filtering the electromyographic signal using a band-pass filter and a notch filter, and amplifying the electromyographic signal obtained by filtering through a multi-stage signal amplification circuit; dividing the filtered sound signal according to a time window with a first duration as a width and a second duration as a step length to obtain sound signals in multiple time windows, and dividing the amplified electromyographic signal according to a time window with a third duration as a width and a fourth duration as a step length to obtain electromyographic signals in multiple time windows, and taking the mean square value or root mean square value of the electromyographic signal in the time window as the eigenvalue of the electromyographic signal; in response to the presence of a sound signal with a decibel value greater than or equal to the decibel threshold in the sound signals in the multiple time windows, determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and in response to the presence of an electromyographic signal with an eigenvalue greater than or equal to the eigenvalue threshold in the electromyographic signals in the multiple time windows, determining that the eigenvalue corresponding to the electromyographic signal is greater than or equal to the eigenvalue threshold.

[0019] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to: execute the snoring intervention method described in any one of the first aspects.

[0020] According to a fourth aspect of an embodiment of the present disclosure, a storage medium is provided. When instructions in the storage medium are executed by a processor, the snoring intervention method as described in any one of the first aspects can be executed.

[0021] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: the present disclosure dually identifies whether a snoring event occurs through electromyographic signals and sound signals and outputs an electrical stimulation signal, determines relevant parameters of the electrical stimulation according to the electromyographic signals and sound signals, and correspondingly adjusts the output parameters of the electrical stimulation signal, thereby improving the accuracy of identifying whether a snoring event occurs, reducing the possibility of false stimulation, and avoiding side effects caused by excessive electrical stimulation.

[0022] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0024] Figure 1 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0025] Figure 2 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0026] Figure 3 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0027] Figure 4 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0028] Figure 5 is a block diagram of a snoring intervention device according to an exemplary embodiment.

[0029] Figure 6 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0030] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0031] In the related art, snoring intervention devices often mistakenly believe that the target object is snoring due to external interference and trigger stimulation. In addition, snoring intervention devices lack physiological information reference function and cannot intelligently identify the intensity of snoring, which may lead to the stimulation time being too long or parameter mismatch.

[0032] In order to solve the above technical problems, according to an embodiment of the present disclosure, a snoring intervention method, a snoring intervention device, an electronic device and a storage medium are provided.

[0033] Figure 1 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0034] In some embodiments, Figure 1 As shown, the snoring intervention method may include the following steps:

[0035] S10: monitoring the sound signal generated by the target object during sleep, monitoring the electromyographic signal of the target object, and extracting the characteristics of the electromyographic signal;

[0036] S20: In response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold, determining that a snoring event occurs;

[0037] S30: Generate an electrical stimulation signal that matches the sound signal and the electromyographic signal, and intervene in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0038] The electromyographic signal may be an electrical signal generated by changes in the muscles of the target object.

[0039] In the disclosed embodiment, the sound signal and electromyographic signal of the target object are first acquired. When the sound signal is monitored to be greater than or equal to a decibel threshold and the electromyographic signal is greater than or equal to a characteristic threshold, it can be determined that the target object is snoring. By generating an electrical stimulation signal that matches the sound signal and the electromyographic signal, the target object is electrically stimulated to improve or eliminate the snoring event of the target object.

[0040] The decibel threshold can be a preset sound decibel value. When the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, it means that the target object has made a loud sound or there are other sound sources in the environment that make a loud sound. The decibel threshold can be obtained through experimental data statistics, or after collecting and correcting the snoring situation of the target object.

[0041] The characteristic threshold may be a preset electromyographic signal strength. When the characteristic value of the electromyographic signal is greater than or equal to the characteristic threshold, it indicates that the target object's muscles have moved. The characteristic threshold may be obtained through experimental data statistics or after collecting and correcting the target object's snoring situation.

[0042] In order to reduce the false triggering of electrical stimulation due to the acquisition of external environmental sounds or muscle activity caused by non-snoring movements, the conditions for turning on electrical stimulation are configured so that the sound signal and the electromyographic signal are simultaneously greater than or equal to the decibel threshold and the characteristic threshold. The electromyographic signal and the sound signal provide double protection for the accuracy of snoring recognition, reducing the interference of the external environment or occasional movements. This double protection mechanism ensures the accurate identification of snoring events and the precise triggering of electrical stimulation.

[0043] For example, swallowing can cause changes in myoelectric signals. In order to eliminate the interference of non-snoring events such as swallowing, the simultaneous analysis of sound signals and myoelectric signals provides double protection for the accuracy of snoring recognition. This double protection mechanism ensures accurate recognition of snoring events and precise triggering of electrical stimulation.

[0044] And through the combined feedback adjustment of sound signals and electromyographic signals, the sound signals and electromyographic signals can feedback the snoring intensity of the target object, and then change the output parameters of the electrical stimulation signal accordingly according to the snoring intensity, thereby reducing the side effects of long-term continuous electrical stimulation such as soft tissue damage, muscle fatigue and tongue muscle hypertrophy, and reducing the situation of electrical stimulation awakening the target object, providing the target object with a more comfortable user experience.

[0045] In some embodiments, since snoring sounds are usually between 50 decibels and 90 decibels, the decibel threshold may be set to 50 decibels.

[0046] In some embodiments, the output parameters of the electrical stimulation signal may include current frequency, current amplitude, and duration.

[0047] The current frequency refers to the current frequency of the electrical stimulation signal for the target object, the current amplitude refers to the current intensity of the electrical stimulation signal for the target object, and the duration refers to the duration of the electrical stimulation signal for the target object.

[0048] Among them, the greater the current amplitude and current frequency, the greater the intervention intensity of the electrical stimulation signal on the snoring event.

[0049] The snoring intensity of the target object is detected through sound signal and electromyographic signal feedback, and the output parameters of the electrical stimulation signal of the target object are changed according to the sound model and electromyographic signal.

[0050] In some embodiments, the current frequency may be 1 Hz to 30 Hz, the current amplitude may be 1 mA to 3 mA, and the stimulation time may be 1 minute to 30 minutes. However, the present disclosure is not limited thereto, and the above parameter ranges may also be changed to other parameter ranges that do not harm the physiological health of the target subject and can effectively intervene in snoring.

[0051] Figure 2It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0052] In some embodiments, Figure 2 As shown, the snoring intervention method may include the following steps:

[0053] S10: monitoring the sound signal generated by the target object during sleep, monitoring the electromyographic signal of the target object, and extracting the characteristics of the electromyographic signal;

[0054] S20: In response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold, determining that a snoring event occurs;

[0055] S31: determining the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal, wherein the magnitude of the current amplitude is positively correlated with the decibel value of the sound signal;

[0056] S32: determining a current frequency of the electrical stimulation signal according to the characteristic value of the electromyographic signal, wherein the magnitude of the current frequency is positively correlated with the magnitude of the characteristic value of the electromyographic signal;

[0057] S33: determining the duration of the electrical stimulation signal according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, wherein the duration is positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal;

[0058] S34: generating an electrical stimulation signal matching the current amplitude, current frequency and duration;

[0059] S35: Intervene in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0060] In the disclosed embodiment, the sound signal and electromyographic signal of the target object are first acquired. When the sound signal is monitored to be greater than or equal to a decibel threshold and the electromyographic signal is greater than or equal to a characteristic threshold, it can be determined that the target object is snoring.

[0061] The current amplitude of the electrical stimulation signal is determined by determining the sound signal, the current frequency of the electrical stimulation signal is determined by the electromyographic signal, and the duration of the electrical stimulation is determined jointly by the sound signal and the electromyographic signal.

[0062] The snoring event is intervened based on the output parameters of the electrical stimulation signal to improve or eliminate the snoring event.

[0063] In order to reduce the false triggering of electrical stimulation due to the acquisition of external environmental sounds or muscle activity caused by non-snoring movements, the condition for turning on the electrical stimulation signal is configured so that the sound signal and the electromyographic signal are simultaneously greater than or equal to the decibel threshold and the characteristic threshold. The electromyographic signal and the sound signal provide double protection for the accuracy of snoring recognition, reducing the interference of the external environment or occasional movements. This double protection mechanism ensures the accurate identification of snoring events and the precise triggering of electrical stimulation.

[0064] The current amplitude of the electrical stimulation signal is adjusted through sound signal feedback, the current frequency of the electrical stimulation signal is adjusted through electromyographic signal feedback, and the stimulation duration of the electrical stimulation signal is adjusted through the joint feedback of sound signal and electromyographic signal.

[0065] The magnitude of the current amplitude is positively correlated with the decibel value of the sound signal, and the magnitude of the current frequency is positively correlated with the characteristic value of the electromyographic signal. For example, the greater the decibel value of the sound signal and the characteristic value of the electromyographic signal, the greater the current amplitude and the current frequency, and the greater the intervention intensity of the electrical stimulation signal on the snoring event.

[0066] The duration of the electrical stimulation signal can be associated with the decibel value of the sound signal and the characteristic value of the electromyographic signal at the same time, and the duration of the electrical stimulation signal is positively correlated with the decibel value of the sound signal and the characteristic value of the electromyographic signal.

[0067] The larger the decibel value of the sound signal and the characteristic value of the electromyographic signal, the greater the snoring intensity of the target object. By associating the output parameters of the electrical stimulation signal with the decibel value of the sound signal and the characteristic value of the electromyographic signal, the intervention intensity of the snoring event can be increased according to the snoring intensity of the detected object, thereby realizing combined feedback regulation of the snoring intensity through sound signals and electromyographic signals.

[0068] Exemplarily, the greater the decibel value of the sound signal and the characteristic value of the electromyographic signal, the greater the current amplitude and the current frequency, and the greater the intervention intensity of the electrical stimulation signal on the snoring event.

[0069] The sound signal and electromyographic signal can be used to feedback the snoring intensity of the target object, and then the output parameters of the electrical stimulation can be changed accordingly. This reduces the side effects of long-term continuous electrical stimulation, such as soft tissue damage, muscle fatigue, and tongue muscle hypertrophy, and reduces the situation of electrical stimulation waking up the target object, providing a more comfortable user experience for the detected object.

[0070] In some embodiments, the current amplitude of the electrical stimulation signal can be determined according to the following formula:

[0071]

[0072] Wherein, I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants. For example, a can be 50, and b can be 2.

[0073] The above formula can keep the output current amplitude within the current amplitude range that can effectively intervene in snoring events, and can change the output current amplitude according to the decibel values ​​of different sound signals, so that the current amplitude can effectively intervene in snoring events of different intensities.

[0074] Figure 3 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0075] In some embodiments, Figure 3 As shown, the snoring intervention method may include the following steps:

[0076] S101: monitoring the sound signal generated by the target object during sleep, monitoring the electromyographic signal of the target object through electrodes, and extracting the characteristics of the electromyographic signal;

[0077] S20: In response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold, determining that a snoring event occurs;

[0078] S301: Generate an electrical stimulation signal that matches the sound signal and the electromyographic signal, time-multiplex the electrodes, and control the electrodes to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than the decibel threshold and the characteristic value corresponding to the electromyographic signal is less than the characteristic threshold, and the control electrodes stop outputting the electrical stimulation signal.

[0079] In the disclosed embodiment, the sound signal of the target object is first acquired, and the electromyographic signal of the target object is acquired through electrodes. When the sound signal is monitored to be greater than or equal to a decibel threshold, and the electromyographic signal is greater than or equal to a characteristic threshold, it can be determined that the target object is snoring. By generating an electrical stimulation signal that matches the sound signal and the electromyographic signal, the target object is electrically stimulated through the electrodes to improve or eliminate the snoring event.

[0080] The decibel threshold can be a preset sound decibel value. When the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, it means that the target object has made a loud sound or there are other sound sources in the environment that make a loud sound. The decibel threshold can be obtained through experimental data statistics, or after collecting and correcting the snoring situation of the target object.

[0081] The characteristic threshold may be a preset electromyographic signal strength. When the characteristic value of the electromyographic signal is greater than or equal to the characteristic threshold, it indicates that the target object's muscles have moved. The characteristic threshold may be obtained through experimental data statistics or after collecting and correcting the target object's snoring situation.

[0082] The electrodes for collecting electromyographic signals and the electrodes for outputting electrical stimulation signals share the same electrode through time-sharing multiplexing, thereby improving the integration of the snoring intervention device, reducing the size of the snoring intervention device, solving the problem of the device being bulky and difficult to operate, and providing users with a more convenient and comfortable user experience.

[0083] In order to reduce the false triggering of electrical stimulation due to the acquisition of external environmental sounds or muscle activity caused by non-snoring movements, the conditions for turning on electrical stimulation are configured so that the sound signal and the electromyographic signal are simultaneously greater than or equal to the decibel threshold and the characteristic threshold. The electromyographic signal and the sound signal provide double protection for the accuracy of snoring recognition, reducing the interference of the external environment or occasional movements. This double protection mechanism ensures the accurate identification of snoring events and the precise triggering of electrical stimulation.

[0084] For example, swallowing can cause changes in myoelectric signals. In order to eliminate the interference of non-snoring events such as swallowing, the simultaneous analysis of sound signals and myoelectric signals provides double protection for the accuracy of snoring recognition. This double protection mechanism ensures accurate recognition of snoring events and precise triggering of electrical stimulation.

[0085] And through the combined feedback adjustment of sound signals and electromyographic signals, the sound signals and electromyographic signals can feedback the snoring intensity of the target object, and then the output parameters of the electrical stimulation signal are changed accordingly according to the snoring intensity, which can reduce the situation of outputting excessive electrical stimulation signals.

[0086] When the decibel value of the sound signal and the characteristic value of the electromyography signal are both less than the corresponding threshold, the output of the electrical stimulation signal is stopped. This can prevent the electrical stimulation from lasting too long, reduce the side effects of long-term continuous electrical stimulation such as soft tissue damage, muscle fatigue, and tongue muscle hypertrophy, reduce the chances of the target object being awakened by electrical stimulation, and provide the target object with a more comfortable user experience.

[0087] In some embodiments, the snoring intervention method can also be configured to stop outputting the electrical stimulation signal when the decibel value of the sound signal is less than the decibel threshold and lasts for a first preset time, or the characteristic value of the electromyography signal is less than the characteristic threshold and lasts for a second preset time. By further lowering the threshold for stopping electrical stimulation, it can further prevent the electrical stimulation time from being too long, reduce the side effects of long-term continuous electrical stimulation such as soft tissue damage, muscle fatigue, and tongue muscle hypertrophy, reduce the situation of electrical stimulation awakening the target object, and provide a more comfortable use experience for the detected object.

[0088] Figure 4 It is a flowchart of a snoring intervention method according to an exemplary embodiment.

[0089] In some embodiments, Figure 4As shown, the snoring intervention method may include the following steps:

[0090] S10: monitoring the sound signal generated by the target object during sleep, monitoring the electromyographic signal of the target object, and extracting the characteristics of the electromyographic signal;

[0091] S21: filtering the sound signal using a low-pass filter, filtering the electromyographic signal using a band-pass filter and a notch filter, and amplifying the electromyographic signal obtained by filtering through a multi-stage signal amplification circuit;

[0092] S22: Divide the filtered sound signal into time windows with a first duration as width and a second duration as step length to obtain sound signals in multiple time windows, and divide the amplified electromyographic signal into time windows with a third duration as width and a fourth duration as step length to obtain electromyographic signals in multiple time windows, and use the mean square value or root mean square value of the electromyographic signal in the time window as the characteristic value of the electromyographic signal;

[0093] S23: In response to the presence of a sound signal having a decibel value greater than or equal to a decibel threshold in the sound signals within the multiple time windows, determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold; in response to the presence of an electromyographic signal having a characteristic value greater than or equal to a characteristic value threshold in the electromyographic signals within the multiple time windows, determining that the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold;

[0094] S24: confirming that a snoring event has occurred;

[0095] S30: Generate an electrical stimulation signal that matches the sound signal and the electromyographic signal, and intervene in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0096] In the disclosed embodiment, the sound signal and electromyographic signal of the target object are first obtained, the sound signal is filtered using a low-pass filter, the electromyographic signal is filtered using a band-pass filter and a thin filter, and then the electromyographic signal obtained by filtering is amplified by a multi-stage amplifier circuit. Secondly, the decibel value of the sound signal and the characteristic value of the electromyographic signal are extracted by the sliding window method.

[0097] When the decibel value of the monitored sound signal is greater than or equal to the decibel threshold, and the characteristic value of the electromyography signal is greater than or equal to the characteristic threshold, it can be determined that the target object is snoring. By generating an electrical stimulation signal that matches the sound signal and the electromyography signal, the electrical stimulation signal is output through the electrode to improve or eliminate the snoring event.

[0098] The decibel threshold can be a preset sound decibel value. When the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, it means that the target object has made a loud sound or there are other sound sources in the environment that make a loud sound. The decibel threshold can be obtained through experimental data statistics, or after collecting and correcting the snoring situation of the target object.

[0099] The characteristic threshold may be a preset electromyographic signal strength. When the characteristic value of the electromyographic signal is greater than or equal to the characteristic threshold, it indicates that the target object's muscles have moved. The characteristic threshold may be obtained through experimental data statistics or after collecting and correcting the target object's snoring situation.

[0100] The sliding window method has the advantages of simple algorithm implementation, small amount of calculation and strong generalization ability. The design and implementation of the algorithm are relatively simple and can be easily used in various environments. Using the sliding window method to process sound signals and electromyographic signals can significantly reduce the computational complexity and greatly reduce the calculation time.

[0101] The collected electromyographic signals and snoring signals are preprocessed to remove noise interference and improve signal accuracy, providing a clear signal basis for subsequent adjustment of the output parameters of the electrical stimulation signals.

[0102] The frequency of snoring varies from person to person, but is usually between 1 Hz and 4 Hz. In order to avoid interference of environmental noise on the collection of sound signals, the collected sound signals are filtered through a Butterworth low-pass filter circuit to remove environmental noise and other interfering signals and obtain a pure sound signal about snoring.

[0103] The main information of the electromyographic signal exists between the frequency band of 20 Hz and 500 Hz, and is easily affected by the 50 Hz power frequency noise. Therefore, a bandpass filter circuit and a notch filter circuit are designed to remove the electromyographic signals outside the 20 Hz value and 500 Hz, and specifically remove the 50 Hz power frequency noise to achieve noise interference removal. And because the electromyographic signal has a low amplitude, the signal is amplified and the signal-to-noise ratio is improved through a two-stage amplifier circuit, and finally a pure and easy-to-process electromyographic signal is obtained.

[0104] In order to reduce the false triggering of electrical stimulation due to the acquisition of external environmental sounds or muscle activity caused by non-snoring movements, the conditions for turning on electrical stimulation are configured so that the sound signal and the electromyographic signal are simultaneously greater than or equal to the decibel threshold and the characteristic threshold. The electromyographic signal and the sound signal provide double protection for the accuracy of snoring recognition, reducing the interference of the external environment or occasional movements. This double protection mechanism ensures the accurate identification of snoring events and the precise triggering of electrical stimulation.

[0105] For example, swallowing can cause changes in myoelectric signals. In order to eliminate the interference of non-snoring events such as swallowing, the simultaneous analysis of sound signals and myoelectric signals provides double protection for the accuracy of snoring recognition. This double protection mechanism ensures accurate recognition of snoring events and precise triggering of electrical stimulation.

[0106] And through the combined feedback adjustment of sound signals and electromyographic signals, the sound signals and electromyographic signals can feedback the snoring intensity of the target object, and then change the output parameters of the electrical stimulation signal accordingly according to the snoring intensity, thereby reducing the side effects of long-term continuous electrical stimulation such as soft tissue damage, muscle fatigue and tongue muscle hypertrophy, and reducing the situation of electrical stimulation awakening the target object, providing a more comfortable user experience for the detected object.

[0107] Based on the same concept, the embodiment of the present disclosure also provides a snoring intervention device.

[0108] Figure 5 is a block diagram of a snoring intervention device according to an exemplary embodiment.

[0109] In some embodiments, Figure 5 As shown, the snoring intervention device may include: a monitoring unit 51 , a processing unit 52 and an intervention unit 53 .

[0110] The monitoring unit 51 is used to monitor the sound signals generated during the target object's sleep, monitor the electromyographic signals of the target object, and extract the features of the electromyographic signals.

[0111] The processing unit 52 is configured to determine that a snoring event occurs in response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold.

[0112] The intervention unit 53 is used to generate an electrical stimulation signal that matches the sound signal and the electromyographic signal, and intervene in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

[0113] In some embodiments, the intervention unit 53 is used to generate an electrical stimulation signal that matches the sound signal and the electromyographic signal in the following manner:

[0114] The current amplitude of the electrical stimulation signal is determined according to the decibel value of the sound signal, and the magnitude of the current amplitude is positively correlated with the decibel value of the sound signal.

[0115] The current frequency of the electrical stimulation signal is determined according to the characteristic value of the electromyographic signal, and the magnitude of the current frequency is positively correlated with the magnitude of the characteristic value of the electromyographic signal.

[0116] The duration of the electrical stimulation signal is determined based on the decibel value of the sound signal and the characteristic value of the electromyographic signal. The duration is positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal.

[0117] Generate electrical stimulation signals with matching current amplitude, current frequency and duration.

[0118] In some embodiments, the intervention unit 53 determines the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal according to the following formula:

[0119]

[0120] Where I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants.

[0121] In some embodiments, the monitoring unit 51 monitors the electromyographic signal of the target object in the following manner: monitoring the electromyographic signal of the target object through electrodes.

[0122] The intervention unit 53 intervenes in the snoring event based on the electrical stimulation signal in the following manner to eliminate the snoring event: time-division multiplexing the electrodes, controlling the electrodes to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than the decibel threshold, and the characteristic value corresponding to the electromyography signal is less than the characteristic threshold, and the control electrode stops outputting the electrical stimulation signal.

[0123] In some embodiments, the processing unit 52 determines that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold in the following manner:

[0124] A low-pass filter is used to filter the sound signal, a band-pass filter and a notch filter are used to filter the electromyographic signal, and the electromyographic signal obtained by filtering is amplified by a multi-stage signal amplification circuit.

[0125] The filtered sound signal is divided into a time window with a first duration as a width and a second duration as a step length to obtain sound signals in multiple time windows, and the amplified electromyographic signal is divided into a time window with a third duration as a width and a fourth duration as a step length to obtain electromyographic signals in multiple time windows, and the mean square value or root mean square value of the electromyographic signal in the time window is used as a characteristic value of the electromyographic signal;

[0126] In response to the presence of a sound signal having a decibel value greater than or equal to a decibel threshold in the sound signals within multiple time windows, it is determined that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold; in response to the presence of an electromyographic signal having a eigenvalue greater than or equal to a eigenvalue threshold in the electromyographic signals within multiple time windows, it is determined that the eigenvalue corresponding to the electromyographic signal is greater than or equal to the eigenvalue threshold.

[0127] Regarding the snoring intervention device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0128] In some embodiments, the electromyographic signal can be obtained by electrodes attached to the muscles of the target object. The sound signal can be obtained by a sound collection device, and the sound collection device can be a microphone. The collection device for the electromyographic signal and the sound signal is small in size, making the snoring intervention device more flexible and convenient to use.

[0129] In some embodiments, the electrode for collecting electromyographic signals can be the same electrode as the electrode for outputting electrical stimulation.

[0130] The electrode circuit can be added with a high-speed switch and equipped with relevant programs to achieve fast state switching. First, the electromyographic signal is collected, and the processing unit 52 is connected to the electrode so that the electromyographic signal can be collected and processed. When a snoring event is detected, an electrical stimulation signal is automatically output for intervention. The electrode can be connected to the electrical stimulation device of the intervention unit 53 to output the electrical stimulation signal.

[0131] By sharing the same electrode, the integration of the snoring intervention device can be improved, the size of the snoring intervention device can be reduced, the wearability of the snoring intervention device can be improved, and a more comfortable use experience can be provided for the target object.

[0132] However, the present disclosure is not limited to this. The electrodes for collecting electromyographic signals and the electrodes for performing electrical stimulation output may also be different electrodes, thereby reducing the interference of electrical stimulation output on electromyographic signal collection.

[0133] In some embodiments, the electrodes may be adhesive electrodes and may be attached to the jaw of the subject.

[0134] In some embodiments, the intervention unit 53 can achieve bipolar electrical stimulation output, and includes a constant current source circuit and an H-bridge output circuit to ensure accurate regulation of current frequency and current amplitude.

[0135] In some embodiments, the snoring intervention device may also include a manual mode. In the manual mode, the snoring intervention device will not adjust the output parameters of the electrical stimulation signal according to the sound signal and the electromyographic signal feedback. The user can select the current amplitude, current frequency and duration of the electrical stimulation signal according to their own needs and feelings. In this mode, the user has more autonomy and flexibility and can adjust according to personal circumstances.

[0136] The present disclosure provides a snoring intervention method and a snoring intervention device, which realizes accurate identification of snoring events and personalized electrical stimulation output by combining the dual monitoring mechanism of electromyographic signals and sound signals. The system includes two operating modes: manual mode and automatic mode, and users can select the appropriate electrical stimulation mode according to their needs. In automatic mode, the system monitors the characteristic value of the electromyographic signal and the decibel value of the sound signal to ensure the accurate triggering of the electrical stimulation. The electrical stimulation parameters can be automatically adjusted according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, and the target object will not be awakened due to excessive electrical stimulation, thereby improving the intervention effect and user comfort. The technical solution has the advantages of high accuracy, simple operation, controllable intervention effect, and strong applicability to the human body.

[0137] And by adopting a dual signal monitoring mechanism and combining the characteristics of electromyographic signals and sound signals, highly accurate recognition of snoring events is achieved, greatly improving the reliability of snoring event judgment.

[0138] The snoring intervention device integrates an electromyographic signal acquisition module and a sound sensor, which are used to monitor the user's electromyographic signal and snoring in real time. Once a snoring event is detected, the system automatically triggers electrical stimulation, and then releases an electric current of appropriate frequency and intensity, appropriately activating the muscles in the mandibular area without waking up the target, promoting airway opening, thereby reducing snoring attacks and reducing the risk of obstructive sleep apnea syndrome.

[0139] In addition, the snoring intervention device has a simple design and high integration, which can meet the consumer needs of users and provide users with civilian consumer-grade snoring prevention products. The snoring intervention device has high reliability in snoring recognition and has the function of intelligent feedback to adjust the intensity of electrical stimulation. It is easy to operate and convenient for users to use at home. Users can easily choose the electrical stimulation mode that suits them. The personalized electrical stimulation setting further optimizes the treatment effect and improves the patient's comfort. Therefore, the technical solution of the present invention has many advantages such as accurate diagnosis, convenient operation, superior intervention effect, and strong human applicability, which is of great significance for the rehabilitation of snoring patients.

[0140] Based on the same concept, an embodiment of the present disclosure also provides an electronic device.

[0141] In some embodiments, the electronic device may include: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to: execute a snoring intervention method.

[0142] Figure 6 It is a block diagram of an electronic device according to an exemplary embodiment.

[0143] Reference Figure 6, the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , an input / output (I / O) interface 812 , and a sensor component 814 .

[0144] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with data communication and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0145] The memory 804 is configured to store various types of data to support operations on the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800. The memory 804 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0146] The power component 806 provides power to the various components of the electronic device 800. The power component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

[0147] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

[0148] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the electronic device 800. For example, the sensor assembly 814 can detect the open / closed state of the electronic device 800, the relative positioning of components, such as the display and keypad of the electronic device 800, and the sensor assembly 814 can also detect the position change of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and the temperature change of the electronic device 800.

[0149] The sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an accelerometer, a gyroscope, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0150] In some exemplary embodiments, the electronic device 800 may include a multimedia component 808, which includes a screen providing an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0151] In some exemplary embodiments, the electronic device 800 may include an audio component 810, which is configured to output and / or input sound signals. For example, the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external sound signal. The received sound signal may be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting sound signals.

[0152] In some exemplary embodiments, the electronic device 800 may include a communication component 816, which is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0153] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0154] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, and the instructions can be executed by a processor 820 of an electronic device 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0155] It is to be understood that in the present disclosure, "plurality" refers to two or more than two, and other quantifiers are similar. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can 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. The singular forms "a", "the" and "the" are also intended to include plural forms, unless the context clearly indicates other meanings.

[0156] It is further understood that the terms "second", "secondary", etc. are used to describe various information, but such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other and do not indicate a specific order or degree of importance. In fact, the expressions "secondary", "secondary", etc. can be used interchangeably. For example, without departing from the scope of the present disclosure, the second information may also be referred to as the second information, and similarly, the second information may also be referred to as the second information.

[0157] It will be further understood that the terms “center”, “longitudinal”, “lateral”, “front”, “back”, “up”, “down”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present embodiment and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation.

[0158] It can be further understood that, unless otherwise specified, “connection” includes a direct connection without other components between the two, and also includes an indirect connection with other components between the two.

[0159] It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0160] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the following scope of rights.

[0161] It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the scope of the appended claims.

Claims

1. A snoring intervention method, characterized in that: The snoring intervention method comprises: Monitoring the sound signals generated by the target object during sleep, and monitoring the electromyographic signals of the target object, and extracting the features of the electromyographic signals; In response to determining that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold, determining that a snoring event occurs; An electrical stimulation signal matching the sound signal and the electromyographic signal is generated, and the snoring event is intervened based on the electrical stimulation signal to eliminate the snoring event.

2. The snoring intervention method according to claim 1, characterized in that: The generating of the electrical stimulation signal matching the sound signal and the electromyographic signal comprises: Determining the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal, wherein the magnitude of the current amplitude is positively correlated with the decibel value of the sound signal; Determining the current frequency of the electrical stimulation signal according to the characteristic value of the electromyographic signal, wherein the magnitude of the current frequency is positively correlated with the magnitude of the characteristic value of the electromyographic signal; Determine the duration of the electrical stimulation signal according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, wherein the duration is positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal; An electrical stimulation signal matching the current amplitude, the current frequency and the duration is generated.

3. The snoring intervention method according to claim 2, characterized in that: The current amplitude of the electrical stimulation signal is determined according to the decibel value of the sound signal according to the following formula: Where I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants.

4. The snoring intervention method according to claim 1, characterized in that: The step of monitoring the electromyographic signal of the target object comprises: Monitoring the electromyographic signal of the target object through electrodes; Intervening the snoring event based on the electrical stimulation signal to eliminate the snoring event includes: The electrodes are time-multiplexed and controlled to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than the decibel threshold and the characteristic value corresponding to the electromyographic signal is less than the characteristic threshold, and the electrodes are controlled to stop outputting the electrical stimulation signal.

5. The snoring intervention method according to claim 1, characterized in that: The step of determining that the decibel value corresponding to the sound signal is greater than or equal to a decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to a characteristic threshold, comprises: The sound signal is filtered by a low-pass filter, the electromyographic signal is filtered by a band-pass filter and a notch filter, and the electromyographic signal obtained by filtering is amplified by a multi-stage signal amplification circuit; The filtered sound signal is divided into a time window with a first duration as a width and a second duration as a step length to obtain sound signals in multiple time windows, and the amplified electromyographic signal is divided into a time window with a third duration as a width and a fourth duration as a step length to obtain electromyographic signals in multiple time windows, and the mean square value or root mean square value of the electromyographic signal in the time window is used as a characteristic value of the electromyographic signal; In response to the presence of a sound signal having a decibel value greater than or equal to a decibel threshold in the sound signals within the multiple time windows, it is determined that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold; in response to the presence of an electromyographic signal having a eigenvalue greater than or equal to a eigenvalue threshold in the electromyographic signals within the multiple time windows, it is determined that the eigenvalue corresponding to the electromyographic signal is greater than or equal to the eigenvalue threshold.

6. A snoring intervention device, characterized in that: include: A monitoring unit, used to monitor the sound signal generated during the sleep of the target object, monitor the electromyographic signal of the target object, and extract the characteristics of the electromyographic signal; a processing unit, configured to determine that a snoring event occurs in response to determining that a decibel value corresponding to the sound signal is greater than or equal to a decibel threshold, and a characteristic value corresponding to the electromyographic signal is greater than or equal to a characteristic threshold; The intervention unit is used to generate an electrical stimulation signal matching the sound signal and the electromyographic signal, and intervene in the snoring event based on the electrical stimulation signal to eliminate the snoring event.

7. The snoring intervention device according to claim 6, characterized in that: The intervention unit is used to generate an electrical stimulation signal matching the sound signal and the electromyographic signal in the following manner: Determining the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal, wherein the magnitude of the current amplitude is positively correlated with the decibel value of the sound signal; Determining the current frequency of the electrical stimulation signal according to the characteristic value of the electromyographic signal, wherein the magnitude of the current frequency is positively correlated with the magnitude of the characteristic value of the electromyographic signal; Determine the duration of the electrical stimulation signal according to the decibel value of the sound signal and the characteristic value of the electromyographic signal, wherein the duration is positively correlated with the characteristic value of the electromyographic signal and the decibel value of the sound signal; An electrical stimulation signal matching the current amplitude, the current frequency and the duration is generated.

8. The snoring intervention device according to claim 7, characterized in that: The intervention unit determines the current amplitude of the electrical stimulation signal according to the decibel value of the sound signal according to the following formula: Where I is the current amplitude of the electrical stimulation signal, dB is the decibel value of the sound signal, and a and b are constants.

9. The snoring intervention device according to claim 6, characterized in that: The monitoring unit monitors the electromyographic signal of the target object in the following manner: monitoring the electromyographic signal of the target object through electrodes; The intervention unit intervenes in the snoring event based on the electrical stimulation signal in the following manner to eliminate the snoring event: The electrodes are time-multiplexed and controlled to output the electrical stimulation signal until the decibel value corresponding to the sound signal is less than the decibel threshold and the characteristic value corresponding to the electromyographic signal is less than the characteristic threshold, and the electrodes are controlled to stop outputting the electrical stimulation signal.

10. The snoring intervention device according to claim 6, characterized in that: The processing unit determines that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold, and the characteristic value corresponding to the electromyographic signal is greater than or equal to the characteristic threshold in the following manner: The sound signal is filtered by a low-pass filter, the electromyographic signal is filtered by a band-pass filter and a notch filter, and the electromyographic signal obtained by filtering is amplified by a multi-stage signal amplification circuit; The filtered sound signal is divided into a time window with a first duration as a width and a second duration as a step length to obtain sound signals in multiple time windows, and the amplified electromyographic signal is divided into a time window with a third duration as a width and a fourth duration as a step length to obtain electromyographic signals in multiple time windows, and the mean square value or root mean square value of the electromyographic signal in the time window is used as a characteristic value of the electromyographic signal; In response to the presence of a sound signal having a decibel value greater than or equal to a decibel threshold in the sound signals within the multiple time windows, it is determined that the decibel value corresponding to the sound signal is greater than or equal to the decibel threshold; in response to the presence of an electromyographic signal having a eigenvalue greater than or equal to a eigenvalue threshold in the electromyographic signals within the multiple time windows, it is determined that the eigenvalue corresponding to the electromyographic signal is greater than or equal to the eigenvalue threshold.

11. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to: execute the snoring intervention method described in claims 1 to 5.

12. A storage medium, characterized in that: When the instructions in the storage medium are executed by a processor, the snoring intervention method according to any one of claims 1 to 5 can be performed.

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