Methods, devices, and systems for closed-loop neuromodulation to improve mood

Abstract

This application relates to the field of bioelectric signal processing and provides a closed-loop neural modulation method for mood improvement. The method includes: preprocessing digital signals obtained by converting user physiological parameter signals into a two-dimensional matrix and / or time-series data; identifying the type of emotion currently felt by the user based on the two-dimensional matrix and / or time-series data; generating corresponding control commands based on the type of emotion currently felt by the user; parsing the control commands into treatment intensity parameters; and outputting corresponding transcranial alternating current stimulation (tACS) waveforms based on the treatment intensity parameters to provide site stimulation to the user. The technical solution of this application can conveniently provide users with significantly effective interventions and / or treatments.

Description

Technical Field

[0001] This invention relates to the field of bioelectric signal processing, and in particular to a closed-loop neural modulation method, device, and system for improving mood. Background Technology

[0002] Modern medical research has found that emotions are not only an important indicator of physical and mental health, but also that positive emotions contribute to the recovery from various physiological and psychological illnesses. Conversely, negative emotions become a major obstacle to the recovery process. Therefore, the industry has been exploring various methods for regulating emotions, including some medical devices for emotion regulation.

[0003] However, existing emotion regulation solutions, such as interventional treatment devices for severe depression, generally output fixed treatment parameters directly, rather than dynamically adjusting the treatment parameters in real time according to the patient's specific condition to achieve personalized treatment. On the other hand, existing emotion regulation devices are too large and bulky, and are not suitable for specific scenarios, such as home healthcare or people with mobility impairments. Summary of the Invention

[0004] This application provides a closed-loop neuromodulation method, device, and system for mood improvement, which can conveniently provide users with effective interventions and / or treatments.

[0005] On one hand, this application provides a closed-loop neuromodulation device for mood improvement, including a physiological parameter acquisition device. The wearable physiological parameter acquisition device includes an electroencephalogram (EEG) signal acquisition module, a first analog signal processing module connected to the EEG signal acquisition module, a skin conductance signal acquisition module, a second analog signal processing module connected to the skin conductance signal acquisition module, a third signal processing module, an analog-to-digital converter (ADC) module connected to both the first and second analog signal processing modules, a main control module connected to both the ADC module and the third signal processing module, and a first battery management module connected to both the ADC module, the third signal processing module, and the main control module.

[0006] The EEG signal acquisition module is used to acquire the user's EEG signal and then transmit it to the first analog signal processing module;

[0007] The first analog signal processing module is used to process the electroencephalogram (EEG) signal into a corresponding first analog signal.

[0008] The skin conductance signal acquisition module is used to acquire the user's skin conductance signal and then transmit it to the second analog signal processing module;

[0009] The second analog signal processing module is used to process the skin conductance signal into a corresponding second analog signal;

[0010] The third signal processing module is used to process the user's heart rate, blood oxygen related data and posture data into corresponding third digital signals and transmit them to the main control module;

[0011] The analog-to-digital conversion module is used to convert the first analog signal and the second analog signal into corresponding first digital signal and second digital signal, respectively, and then transmit them to the main control module.

[0012] The main control module is used to generate corresponding control commands based on the first digital signal, the second digital signal, and the third digital signal;

[0013] The first battery management module is used to protect the battery by collecting the battery's electrical parameters. The battery supplies power to the analog-to-digital conversion module, the third signal processing module, and the main control module.

[0014] On the other hand, this application provides a closed-loop neuromodulation device for mood improvement, including a portable neuromodulation intervention device, the portable neuromodulation intervention device comprising:

[0015] The second wireless communication module is used to receive control commands transmitted by the wearable physiological parameter acquisition device and parse the control commands into treatment intensity parameters.

[0016] The waveform output module is used to output the corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameters to perform site stimulation on the user.

[0017] The second battery management module is used to protect the battery by collecting its electrical parameters. The battery supplies power to the second wireless communication module and the waveform output module.

[0018] Thirdly, this application provides a closed-loop neural modulation method for improving mood, the method comprising:

[0019] The digital signals obtained by converting the user's physiological parameter signals are preprocessed into two-dimensional matrices and / or time series data;

[0020] Based on the two-dimensional matrix and / or time series data, identify the type of emotion currently felt by the user;

[0021] Generate corresponding control instructions based on the type of emotion the user is currently experiencing;

[0022] The control command is parsed into treatment intensity parameters;

[0023] Based on the treatment intensity parameters, a corresponding transcranial alternating current stimulation (tACS) waveform is output to provide site stimulation to the user.

[0024] This application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described closed-loop neural modulation method for improving emotions.

[0025] Fourthly, this application provides a closed-loop neuromodulation system for improving mood, which includes the aforementioned wearable physiological parameter acquisition device and portable neuromodulation intervention device, wherein the wearable physiological parameter acquisition device and the portable neuromodulation intervention device interact through a wireless communication module.

[0026] As can be seen from the technical solution provided in this application, on the one hand, compared with the existing emotion regulation solutions that directly output fixed treatment parameters, the technical solution of this application collects physiological parameters such as the user's electroencephalogram (EEG) signals, skin conductance signals, and electroencephalogram (EEG) signals, generates corresponding control commands, and then parses them into treatment intensity parameters. Based on this, it outputs the corresponding transcranial alternating current stimulation (tACS) waveform to stimulate the user at specific sites. Therefore, the technical solution of this application can provide users with real emotion assessment and personalized treatment and intervention, and the effect is significantly better than the "one-size-fits-all" intervention and treatment plan. On the other hand, since the physiological parameter acquisition device and the neuromodulation intervention device are wearable and portable, lightweight and easy to carry, the intervention and treatment of users is more convenient than the existing solutions, and is particularly suitable for treatment of users in specific scenarios such as home and outdoors. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a schematic diagram of the structure of the closed-loop neuromodulation device for mood improvement provided in the embodiments of this application;

[0029] Figure 2 This is a schematic diagram of the Lang two-dimensional emotion model provided in the embodiments of this application;

[0030] Figure 3 This is a schematic diagram of a Lang two-dimensional emotion model provided in another embodiment of this application;

[0031] Figure 4 This is a schematic diagram of the two-dimensional coordinate relationship between valence, arousal, and mood type provided in the embodiments of this application;

[0032] Figure 5 This is a schematic diagram of the structure of the wearable physiological parameter acquisition device provided in the embodiments of this application;

[0033] Figure 6 This is a schematic diagram of the structure of a closed-loop neuromodulation device for mood improvement provided in another embodiment of this application;

[0034] Figure 7 These are three views of the portable neuromodulation intervention device provided in the embodiments of this application;

[0035] Figure 8 This is provided by the embodiments of this application. Figure 7 A schematic diagram of the user interface of an example portable neuromodulation intervention device;

[0036] Figure 9 This is a flowchart of the closed-loop neural modulation method for mood improvement provided in the embodiments of this application;

[0037] Figure 10 This is a schematic diagram of the structure of the closed-loop neural regulation system for mood improvement provided in the embodiments of this application;

[0038] Figure 11 This is a schematic diagram of the mood-improving stimulation sites provided in the embodiments of this application;

[0039] Figure 12 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0041] In this specification, adjectives such as "first" and "second" are used only to distinguish one element or action from another, without necessarily requiring or implying any actual such relationship or order. Where circumstances permit, reference to an element, component, or step (etc.) should not be construed as limited to only one element, component, or step, but may include one or more of the elements, components, or steps, etc.

[0042] For ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn to actual scale.

[0043] Modern medical research has found that emotions are not only an important indicator of physical and mental health, but also that positive emotions contribute to the recovery from various physiological and psychological illnesses. Conversely, negative emotions become a major obstacle to the recovery process. Therefore, the industry has been exploring various methods for regulating emotions, including medical devices for emotion regulation. However, existing emotion regulation solutions, such as intervention devices for severe depression, generally output fixed treatment parameters directly, rather than dynamically adjusting these parameters in real time according to the patient's specific condition to achieve personalized treatment. Furthermore, existing emotion regulation devices are often large and bulky, making them unsuitable for specific scenarios, such as home healthcare or for people with limited mobility.

[0044] To address the aforementioned problems in the prior art, this application proposes a closed-loop neuromodulation device for mood improvement, including a wearable physiological parameter acquisition device, such as... Figure 1 As shown, the wearable physiological parameter acquisition device may include an electroencephalogram (EEG) signal acquisition module 11, a first analog signal processing module 12 connected to the EEG signal acquisition module 11, a skin conductance signal acquisition module 13, a second analog signal processing module 14 connected to the skin conductance signal acquisition module 13, a third signal processing module 15, an analog-to-digital converter (ADC) module 16 connected to both the first and second analog signal processing modules 12 and 14, a main control module 17 connected to both the ADC module 16 and the third signal processing module 15, and a first battery management module 18 connected to the ADC module 16, the third signal processing module 15, and the main control module 17, wherein:

[0045] The EEG signal acquisition module 11 is used to acquire the user's EEG signal and transmit it to the first analog signal processing module 12;

[0046] The first analog signal processing module 12 is used to process the user's brainwave signals into corresponding first analog signals;

[0047] The skin conductance signal acquisition module 13 is used to acquire the user's skin conductance signal and then transmit it to the second analog signal processing module 14;

[0048] The second analog signal processing module 14 is used to process the skin conductance signal into a corresponding second analog signal;

[0049] The third signal processing module 15 is used to process the user's heart rate, blood oxygen related data and posture data into corresponding third digital signals and transmit them to the main control module 17.

[0050] The analog-to-digital conversion module 16 is used to convert the first analog signal and the second analog signal into corresponding first digital signal and second digital signal, respectively, and then transmit them to the main control module 17.

[0051] The main control module 17 is used to generate corresponding control commands based on the first digital signal, the second digital signal and the third digital signal;

[0052] The first battery management module 18 is used to protect the battery by collecting the battery's electrical parameters. The battery supplies power to the analog-to-digital conversion module 16, the third signal processing module 15, and the main control module 17.

[0053] From the above Figure 1 As can be seen from the example of the closed-loop neuromodulation device for mood improvement, on the one hand, compared with existing mood regulation solutions that directly output fixed treatment parameters, the technical solution of this application collects physiological parameters such as the user's electroencephalogram (EEG), electrodermal conduction (TEA), heart rate, blood oxygen, temperature, and posture data, generates corresponding control commands, and then parses them into treatment intensity parameters. Based on this, it outputs corresponding transcranial alternating current (tACS) waveforms to stimulate the user at specific sites. Therefore, the technical solution of this application can provide users with realistic emotional assessment and personalized treatment and intervention, with significantly better results than the "one-size-fits-all" intervention and treatment solutions. On the other hand, since the physiological parameter acquisition device is wearable, lightweight, and easy to carry, the intervention and treatment of users is more convenient than existing solutions, and it is particularly suitable for treatment in specific scenarios such as at home and outdoors.

[0054] In the embodiments of this application, Figure 1 The example third signal processing module 15 may include a skin temperature sensor (SKT), a pulse wave sensor (PPG), and an attitude sensor (ACC). The skin temperature sensor is actually a chip integrating a temperature sensor, analog front-end circuitry, and an analog-to-digital converter. After acquiring the user's analog skin temperature signal through the temperature sensor, the integrated AFE analog front-end circuitry performs signal conversion, and finally, the analog signal representing the user's skin temperature is converted into a digital signal by the analog-to-digital converter. The pulse wave sensor (PPG), similar to the aforementioned skin temperature sensor, is also a chip integrating a pulse (or heart rate) sensor (for acquiring the user's pulse or heart rate), analog front-end circuitry, and an analog-to-digital converter. The attitude sensor (ACC) is a chip integrating a pose sensor (for acquiring data such as the user's position and posture), analog front-end circuitry, and an analog-to-digital converter. Considering the strong correlation between different emotional states and electrooculography (EOG) signals (i.e., electromuscular signals of the eye muscles), the third signal processing module 15 can also process EOG signals, including horizontal electrooculography (HEOG) and vertical electrooculography (VEOG).

[0055] In the embodiments of this application, Figure 1The example's first battery management module 18 protects the battery by collecting its electrical parameters. These batteries power modules such as the analog-to-digital conversion module 16, the third signal processing module 15, and the main control module 17. Specifically, the first battery management module 18 is a battery management system (BMS) that manages the system's charging and discharging, collects signals such as battery current and voltage, and then evaluates and determines the appropriate protections based on these collected electrical signals, such as undervoltage protection, overcurrent protection, and short-circuit protection.

[0056] In one embodiment of this application, Figure 1 The example EEG signal acquisition module 11 may include a reference electrode, an EEG signal acquisition electrode, a bias electrode, and a first analog front-end circuit, wherein:

[0057] The EEG signal acquisition electrode is used to acquire the user's EEG signal and transmit it to the first analog front-end circuit in the form of a differential bioelectric signal along with a reference electrode.

[0058] As a physiological parameter in humans, electroencephalography (EEG) signals reflect different electrical activity processes in the cerebral cortex. The specific manifestations of EEG signals differ depending on a person's emotional state; therefore, EEG signals can be used for relatively accurate emotion recognition. EEG signals have very small amplitudes, generally at the microvolt (µV) level, and mainly fall into the following five categories:

[0059] 1) Delta waves (1-4 Hz) typically have a signal amplitude of 20-200 μV and usually occur in the frontal cortex. Delta waves have the lowest frequency but the highest amplitude. They mainly appear in infants under one year old and in the third and fourth stages of sleep. By examining Delta waves, sleep depth can be assessed. Specifically, the stronger the rhythm of Delta waves, the deeper the sleep.

[0060] 2) Theta waves (4-8 Hz) typically have an amplitude of 100-150 μV and are classified as “slow activity.” Theta waves are usually associated with cognitive processes and become more prominent when faced with difficult tasks.

[0061] 3) Alpha waves (8-13Hz), with a signal amplitude of 20-100μV, mainly occur in the parietal and occipital lobes. When the human body is in a calm state, the level of alpha waves increases. Biofeedback training often uses alpha waves to detect relaxation state.

[0062] 4) Beta waves (13-30Hz), with a signal amplitude of 5-20μV. The activity corresponding to Beta waves is "rapid" activity, mainly occurring in the frontal and temporal lobes. When a person is in a high-intensity emotional state, such as excitement or fear, Beta waves become more prominent.

[0063] 5) Gamma waves (>30Hz) are high-frequency components of brain waves with amplitudes typically below 2μV. Some researchers believe that gamma waves reflect concentration and act as carrier frequencies to facilitate data exchange between brain regions.

[0064] The first analog front-end circuit is used to amplify, filter, and denoise the differential EEG signal before inputting it into the first analog signal processing module.

[0065] In this embodiment, the first analog front-end circuit includes amplification, filtering, and noise reduction modules. The amplification module is a voltage follower circuit composed of operational amplifiers with relatively high input impedance for both the reference electrode and the EEG signal acquisition electrode. The filtering module is an active high-pass and low-pass filter circuit for noise removal. The noise reduction module is a notch filter circuit for removing high-frequency interference noise. After amplifying, filtering, and denoising the differential EEG signal using the above modules, the first analog front-end circuit inputs the processed EEG signal into the first analog signal processing module.

[0066] Bias electrodes are used to eliminate common-mode interference caused by power frequency in wearable physiological parameter acquisition devices.

[0067] In one embodiment of this application, Figure 1 The example skin conductance signal acquisition module 13 may include a first active electrode, a second active electrode, and a second analog front-end circuit, wherein:

[0068] The first and second active electrodes are used to collect the user's skin conductance signals and transmit them to the second analog front-end circuit in the form of differential bioelectric signals.

[0069] When a person's emotions change, it leads to changes in skin perspiration secretion. Sweating affects the salt content of the skin, which in turn causes changes in resistivity. This change in resistivity allows for the identification and classification of emotions. GSR (Glavanic Skin Response), sometimes also called Electrodermal Activity (EDA), refers to the skin's electrical activity signal. Generally, a GSR sensor uses two metal electrodes (in this application, the first active electrode 31 and the second active electrode 32) to contact the skin. A resistance-to-voltage conversion circuit then acquires the skin's electrical activity signal, i.e., the EDA signal, and ultimately, emotions are identified and judged based on this signal. In most cases, these metal electrodes are placed on the fingers, wrists, feet, shoulders, and forehead; in this application, they are primarily placed on the forehead.

[0070] The second analog front-end circuit is used to convert, amplify, and filter the differential form of the electroretic signal before inputting it into the second analog signal processing module.

[0071] Unlike the first analog front-end circuit in the aforementioned embodiments, in this embodiment, the second analog front-end circuit first converts the differential electroencephalogram (EEG) signal into a voltage signal through its internal resistor-to-voltage conversion circuit, then amplifies and filters it, and finally inputs it into the second analog signal processing module. The amplification and filtering here can be implemented in the same way as the amplification and filtering of the differential EEG signal by the first analog front-end circuit in the aforementioned embodiments, and will not be described in detail.

[0072] In one embodiment of this application, Figure 1 The example main control module 17 may include a preprocessing unit, a classification unit, and an instruction generation unit, wherein:

[0073] The preprocessing unit is used to preprocess the first digital signal, the second digital signal, and the third digital signal generated by the third signal processing module 15 obtained by the analog-to-digital conversion module 16 into two-dimensional matrix and / or time series data.

[0074] The classification unit is used to identify the type of emotion a user is currently experiencing based on a two-dimensional matrix and / or time-series data.

[0075] Here, we will first explain Lang's two-dimensional emotion model. One example of Lang's two-dimensional emotion model is as follows: Figure 2 As shown, emotion recognition can be divided into two dimensions: valence and arousal. Valence typically represents the degree of pleasure experienced by an emotion, while arousal represents the change in emotion from arousal to excitement. This can be represented using a two-dimensional coordinate system, such as... Figure 2As shown, the horizontal axis represents valence, and the vertical axis represents arousal. According to the two-dimensional emotion model, different horizontal and vertical axes can be used to subdivide emotions into sadness, pleasure, relaxation, frustration, boredom, fear, etc. Another Lang two-dimensional emotion model is shown below. Figure 3 As shown, emotions are also identified using two dimensions: valence and arousal. Valence corresponds to... Figure 3 The vertical axis in the graph represents the level of pleasure in human emotional states, transitioning from unhappiness to happiness. Arousal corresponds to the horizontal axis, representing the level of excitement in human emotional states, transitioning from calm to excitement. By dividing each emotional state along these two dimensions, it can be mapped onto a two-dimensional emotional space.

[0076] The classification unit calculates valence and arousal based on a two-dimensional matrix and / or time-series data. Then, based on the valence, arousal, and emotion type represented in the example below, it identifies the type of emotion the user is currently experiencing:

[0077] Table 1: Emotion Types Based on Valence and Arousal

[0078]

[0079] Among them, LVLA stands for Low Valence Low Arousal, corresponding to the emotion type of depression; LVHA stands for Low Valence High Arousal, corresponding to the emotion type of fear and anger; HVLA stands for High Valence Low Arousal, corresponding to the emotion type of ease; and HVHA stands for High Valence High Arousal, corresponding to the emotion type of happiness. If represented by a two-dimensional coordinate system, valence, arousal, and emotion type are as follows: Figure 4 As shown.

[0080] According to Table 1 or Figure 4 For example, if the calculated effectiveness value is 7.24±0.35 and the arousal value is 6.68±0.54, the emotion type is identified as happiness; if the calculated effectiveness value is 7.00±0.27 and the arousal value is 4.90±0.47, the emotion type is identified as relaxation; if the calculated effectiveness value is 2.82±0.25 and the arousal value is 4.36±0.39, the emotion type is identified as frustration; and if the calculated effectiveness value is 2.34±0.44 and the arousal value is 6.17±0.32, the emotion type is identified as fear and anger.

[0081] The instruction generation unit is used to generate corresponding control instructions based on the type of emotion the user is currently experiencing.

[0082] In this embodiment, LVLA and LVHA are defined as negative emotions, and HVLA and HVHA are defined as positive emotions. For positive emotions, no stimulus is generated; for negative emotions, control instructions for stimulation are generated. Specifically, for LVLA in negative emotions, the control instructions are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily; for LVHA in negative emotions, the control instructions are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily. Because LVHA has a higher degree of negative emotion than LVLA, the output stimulus intensity is stronger. Here, the stimulus intensity corresponding to LVLA is 1.5mA, and the stimulus intensity corresponding to LVHA is 2mA.

[0083] In one embodiment of this application, Figure 1 The example mood-improving closed-loop neuromodulation device may also include a first wireless communication module for transmitting control commands generated by the main control module 17 to the portable neuromodulation intervention device via wireless communication.

[0084] Figure 5 This is a schematic diagram of the wearable physiological parameter acquisition device exemplified in this application. The overall structure resembles a headband, is retractable, and is worn on the user's forehead. Electrodes A, B, C, and D constitute the EEG signal acquisition module. Electrodes A and D are active electrodes, their core function being the acquisition of EEG signals. Electrode B is the reference GND electrode for the EEG signal acquisition module; electrode C is the reference electrode for the EEG signal acquisition module. Electrodes A and C generate a differential signal and transmit the EEG signal to the subsequent first analog front-end circuit. Electrode A is at position FP1, which is the international standard EEG lead system layout; electrode B is at position FP2, which is also the international standard EEG lead system layout. Electrodes E and F constitute the skin conductance signal acquisition module, which also transmits the skin conductance signal to the subsequent second analog front-end circuit using a differential signal method. At position G, there is actually a slot. The pulse wave sensor, skin temperature sensor, and posture sensor are placed in this slot to collect the pulse wave signal, temperature signal, and posture signal from the user's forehead, respectively, and then send them to the main control module 17 for processing via the IIC bus.

[0085] Please see Figure 6 Yes, this application discloses another embodiment of a closed-loop neuromodulation device for mood improvement, including a portable neuromodulation intervention device. This portable neuromodulation intervention device may include a second wireless communication module 601, a waveform output module 602, and a second battery management module 603, wherein:

[0086] The second wireless communication module 601 is used to receive control commands transmitted by the wearable physiological parameter acquisition device and parse the control commands into treatment intensity parameters.

[0087] The treatment intensity parameters include stimulus parameters for depression and stimulus parameters for fear and anger. Specifically, for the LVLA type of negative emotion, the stimulus parameters are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily; for the LVHA type of negative emotion, the stimulus parameters are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily; for the HVHA and HVLA types, there is no stimulus output.

[0088] The waveform output module 602 is used to output the corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameters to perform site stimulation on the user.

[0089] The second battery management module 603 is used to protect the battery by collecting the battery's electrical parameters. The battery supplies power to the second wireless communication module 601 and the waveform output module 602.

[0090] like Figure 7 The diagram shows three views of the portable neuromodulation intervention device provided in this application embodiment, namely, from left to right, the front view, the top view, and the bottom view. The functions of each device, A to I, are described below:

[0091] Display A: Primarily displays tACS-related parameters, power consumption, and other parameters;

[0092] B Menu / Mode Button: Its core function is to switch between different menu bars;

[0093] C. Start / Pause Button: Its core function is to switch between starting and pausing stimulus output.

[0094] The plus sign (D) button increases the parameter; a short press increments by 1, while a long press increases it quickly.

[0095] E Power Button: Controls the power on / off of the device;

[0096] F (minus) button: Decrease the parameter; short press increments by 1 step, long press decreases the parameter quickly.

[0097] G is charging, charging complete indicator window;

[0098] H-stimulation electrode output interface: The electrode connected to the stimulation electrode can be a sponge electrode or a silicone electrode;

[0099] Type-C charging port.

[0100] Figure 7The operating instructions for the example portable neuromodulation intervention device are as follows:

[0101] (1) Adjust the stimulation mode, stimulation intensity parameters, and stimulation time parameters by pressing the buttons. After the parameters are determined, click the start / pause button, and the stimulation intervention treatment waveform will be output to the corresponding site for stimulation;

[0102] (2) Stimulation modes: tDCS mode, tACS mode, tPCS mode, tRNS mode, closed-loop control mode; tDCS mode, tACS mode, tPCS mode, and tRNS mode require manual operation for control; while closed-loop control mode continuously receives control commands sent from wearable multimodal physiological parameter acquisition devices and outputs corresponding stimulation waveforms based on the control commands.

[0103] Figure 8 yes Figure 7 A schematic diagram of the user interface of an example portable neuromodulation intervention device.

[0104] This application proposes a closed-loop neuromodulation method for mood improvement, the flowchart of which is attached. Figure 9 As shown, the main steps include S901 to S905, which are detailed below:

[0105] Step S901: Preprocess the digital signal obtained by converting the user's physiological parameter signal into a two-dimensional matrix and / or time series data.

[0106] Among them, the user's physiological parameter signals include the user's electroencephalogram (EEG) signals, skin conductance signals, electrocardiogram (ECG) signals, and posture data.

[0107] Step S902: Identify the type of emotion the user is currently experiencing based on the two-dimensional matrix and / or time series data.

[0108] The types of emotions can include frustration, fear and anger, relief and happiness, and so on.

[0109] Step S903: Generate corresponding control instructions based on the type of emotion the user is currently experiencing.

[0110] Specifically, for LVLA in negative emotions, the generated control instructions are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily; for LVHA in negative emotions, the generated control instructions are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily, etc.

[0111] Step S904: Parse the control command into treatment intensity parameters.

[0112] The treatment intensity parameters include stimulation parameters for depression and stimulation parameters for fear and anger. Specifically, for the LVLA type of negative emotion, the stimulation parameters are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily, that is, transcranial alternating current stimulation at site F3 / F4 at a frequency of 10Hz and a current of 1.5mA for 20 minutes daily; for the LVHA type of negative emotion, the stimulation parameters are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily, that is, transcranial alternating current stimulation at site F3 / F4 at a frequency of 10Hz and a current of 2mA for 20 minutes daily; for HVHA and HVLA types of emotion, there is no stimulation output.

[0113] Step S905: Based on the treatment intensity parameters, output the corresponding transcranial alternating current stimulation (tACS) waveform to provide site stimulation to the user.

[0114] Specifically, it outputs the corresponding transcranial alternating current stimulation (tACS) waveform to the user. Figure 11 The F3 and F4 sites in the example are stimulated.

[0115] Please see the appendix Figure 10 This application provides a closed-loop neural modulation system for improving mood, which may include... Figure 1 Example wearable physiological parameter acquisition device 101 and Figure 6 The portable neuromodulation intervention device 102, wearable physiological parameter acquisition device 101, and portable neuromodulation intervention device 102 interact via wireless communication modules. For example, they interact via the first wireless communication module of wearable physiological parameter acquisition device 101 and the second wireless communication module of portable neuromodulation intervention device 102. The data exchanged mainly includes control commands generated by wearable physiological parameter acquisition device 101.

[0116] Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. For example... Figure 12 As shown, the electronic device 12 of this embodiment mainly includes: a processor 120, a memory 121, and a computer program 122 stored in the memory 121 and executable on the processor 120, such as a program for a closed-loop neuromodulation method for mood improvement. When the processor 120 executes the computer program 122, it implements the steps described in the above-described embodiment of the closed-loop neuromodulation method for mood improvement, for example... Figure 9 Steps S901 to S905 are shown.

[0117] For example, the computer program 122 of the closed-loop neural modulation method for mood improvement mainly includes: preprocessing the digital signal obtained by converting the user's physiological parameter signal into a two-dimensional matrix and / or time series data; identifying the type of the user's current emotion based on the two-dimensional matrix and / or time series data; generating corresponding control instructions based on the type of the user's current emotion; parsing the control instructions into treatment intensity parameters; and outputting the corresponding transcranial alternating current stimulation (tACS) waveform to perform site stimulation on the user based on the treatment intensity parameters.

[0118] Electronic device 12 may include, but is not limited to, processor 120 and memory 121. Those skilled in the art will understand that... Figure 12 This is merely an example of electronic device 12 and does not constitute a limitation on electronic device 12. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0119] The processor 120 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0120] The memory 121 can be an internal storage unit of the electronic device 12, such as a hard disk or RAM of the electronic device 12. The memory 121 can also be an external storage device of the electronic device 12, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the electronic device 12. Furthermore, the memory 121 can include both internal and external storage units of the electronic device 12. The memory 121 is used to store computer programs and other programs and data required by the electronic device. The memory 121 can also be used to temporarily store data that has been output or will be output.

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed. That is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above-described device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0122] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0123] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0124] In the embodiments provided in this application, it should be understood that the disclosed apparatus / device and method can be implemented in other ways. For example, the apparatus / device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0125] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0126] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0127] If integrated modules / units are implemented as software functional units and sold or used as independent products, they can be stored in a storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can also be implemented by a computer program instructing related hardware. The computer program of the closed-loop neural modulation method for mood improvement can be stored in a storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned method embodiments, namely, preprocessing the digital signals obtained by converting the user's physiological parameter signals into two-dimensional matrices and / or time series data; identifying the type of the user's current emotion based on the two-dimensional matrix and / or time series data; generating corresponding control instructions based on the type of the user's current emotion; parsing the control instructions into treatment intensity parameters; and outputting the corresponding transcranial alternating current stimulation (tACS) waveform to perform site stimulation on the user based on the treatment intensity parameters. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. Storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the contents of storage media can be appropriately added to or removed according to the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, storage media may not include electrical carrier signals and telecommunication signals.

[0128] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application. The specific embodiments described above further illustrate the purpose, technical solutions, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the protection scope of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this invention.

Claims

1. An emotion-improving closed-loop neuromodulation device comprising a wearable physiological parameter acquisition device, characterized in that, The wearable physiological parameter acquisition device includes an electroencephalogram (EEG) signal acquisition module, a first analog signal processing module connected to the EEG signal acquisition module, a skin conductance signal acquisition module, a second analog signal processing module connected to the skin conductance signal acquisition module, a third signal processing module, an analog-to-digital converter (ADC) module connected to both the first and second analog signal processing modules, a main control module connected to both the ADC module and the third signal processing module, and a first battery management module connected to the ADC module, the third signal processing module, and the main control module. The EEG signal acquisition module is used to acquire the user's EEG signal and then transmit it to the first analog signal processing module; The first analog signal processing module is used to process the electroencephalogram (EEG) signal into a corresponding first analog signal. The skin conductance signal acquisition module is used to acquire the user's skin conductance signal and then transmit it to the second analog signal processing module; The second analog signal processing module is used to process the skin conductance signal into a corresponding second analog signal; The third signal processing module is used to process the user's heart rate, blood oxygen related data and posture data into corresponding third digital signals and transmit them to the main control module; The analog-to-digital conversion module is used to convert the first analog signal and the second analog signal into corresponding first digital signal and second digital signal, respectively, and then transmit them to the main control module. The main control module is used to generate corresponding control commands based on the first digital signal, the second digital signal, and the third digital signal. The control commands are parsed into treatment intensity parameters, which include stimulation parameters for depression and stimulation parameters for fear and anger. For LVLA type negative emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily. For LVHA type negative emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily. For HVHA and HVLA types, there is no stimulation output. The main control module includes a preprocessing unit, a classification unit, and an instruction generation unit. The preprocessing unit is used to preprocess the first digital signal, the second digital signal, and the third digital signal into a two-dimensional matrix and / or time series data. The classification unit is used to identify the type of emotion currently felt by the user based on the two-dimensional matrix and / or time series data. The instruction generation unit is used to generate corresponding control commands based on the type of emotion currently felt by the user. The first battery management module is used to protect the battery by collecting the battery's electrical parameters, and the battery supplies power to the analog-to-digital conversion module, the third signal processing module, and the main control module. The skin conductance signal acquisition module includes a first active electrode, a second active electrode, and a second analog front-end circuit. The first and second active electrodes are used to acquire the user's skin conductance signal and transmit it to the second analog front-end circuit in the form of differential bioelectrical signals. The second analog front-end circuit is used to convert, amplify, and filter the differential skin conductance signal before inputting it into the second analog signal processing module.

2. The mood-improving closed-loop neuromodulation device as described in claim 1, characterized in that, The EEG signal acquisition module includes a reference electrode, an EEG signal acquisition electrode, a bias electrode, and a first analog front-end circuit. The EEG signal acquisition electrode is used to acquire the user's EEG signal and then transmit it to the first analog front-end circuit in the form of a differential bioelectric signal with the reference electrode; The first analog front-end circuit is used to amplify, filter, and denoise the differential EEG signal before inputting it into the first analog signal processing module; The bias electrode is used to eliminate common-mode interference caused by power frequency in the device.

3. The mood-improving closed-loop neuromodulation device as described in claim 1, characterized in that, The device also includes a first wireless communication module, used to transmit the control commands generated by the main control module to the portable neuromodulation intervention device via wireless communication.

4. The mood-improving closed-loop neuromodulation device as described in claim 3, characterized in that, The mood-improving closed-loop neuromodulation device also includes a portable neuromodulation intervention device, which comprises: The second wireless communication module is used to receive the control commands; The waveform output module is used to output the corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameters to perform site stimulation on the user. The second battery management module is used to protect the battery by collecting its electrical parameters. The battery supplies power to the second wireless communication module and the waveform output module.

5. A closed-loop neural modulation method for improving mood, characterized in that, The method is applied to the mood-improving closed-loop neuromodulation device according to any one of claims 1 to 4, and the method includes: The digital signals obtained by converting the user's physiological parameter signals into two-dimensional matrices and / or time series data are preprocessed into two-dimensional matrices and / or time series data. The preprocessing of the digital signals obtained by converting the user's physiological parameter signals into two-dimensional matrices and / or time series data includes: acquiring the user's electroencephalogram (EEG) signals, processing the EEG signals into corresponding first analog signals, acquiring the user's electrodermal conductance (EDC) signals, processing the EEC signals into corresponding second analog signals, processing the user's heart rate, blood oxygenation-related data, and posture data into corresponding third digital signals, converting the first analog signals and second analog signals into corresponding first digital signals and second digital signals, respectively, and preprocessing the first digital signals, second digital signals, and third digital signals into two-dimensional matrices and / or time series data. Based on the two-dimensional matrix and / or time series data, identify the type of emotion currently felt by the user; Generate corresponding control instructions based on the type of emotion the user is currently experiencing; The control command is parsed into treatment intensity parameters, which include stimulation parameters for depression and stimulation parameters for fear and anger. For LVLA type negative emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily. For LVHA type negative emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily. For HVHA and HVLA types, there is no stimulation output. Based on the treatment intensity parameters, the corresponding transcranial alternating current stimulation (tACS) waveform is output to provide site stimulation to the user.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in claim 5.

7. A closed-loop neural regulation system for improving mood, characterized in that, The mood improvement closed-loop neuromodulation system includes a portable neuromodulation intervention device and the mood improvement closed-loop neuromodulation device as described in claim 1. The portable neuromodulation intervention device includes: a second wireless communication module for receiving the control command; a waveform output module for outputting a corresponding transcranial alternating current stimulation (tACS) waveform to provide site stimulation to the user based on the treatment intensity parameters; and a second battery management module for protecting the battery by collecting its electrical parameters, wherein the battery powers the second wireless communication module and the waveform output module.

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