Emotion improvement closed-loop nerve regulation method, device and system

Abstract

The invention relates to the field of bio-electricity signal processing, and provides an emotion improvement closed-loop nerve regulation method which comprises the following steps: preprocessing a digital signal obtained by converting a physiological parameter signal of a user into a two-dimensional matrix and / or time sequence data; according to the two-dimensional matrix and / or the time sequence data, identifying the type of the current emotion of the user; generating a corresponding control instruction according to the type of the current emotion of the user; analyzing the control instruction into a treatment intensity parameter; and according to the treatment intensity parameter, outputting a corresponding transcranial alternating current stimulation tACS waveform to perform site stimulation on the user. According to the technical scheme, intervention and / or treatment with remarkable effects can be conveniently provided for the user.

Description

Technical Field

[0001] The present invention relates to the field of bioelectric signal processing, and in particular to a closed-loop neural regulation method, device and system for improving emotions. Background Art

[0002] Modern medical research has found that emotions are not only an important indicator of human physical and mental health, but also that good and positive emotions are helpful for the recovery of various physical or mental illnesses. On the contrary, negative emotions become a great obstacle to the recovery process of various physical and mental illnesses. Therefore, the industry has been exploring various solutions for regulating emotions, including some medical devices for emotion regulation.

[0003] However, existing emotion regulation solutions, such as intervention treatment devices for severe depression, generally directly output fixed treatment parameters, rather than dynamically adjusting 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 large and bulky, and are not suitable for specific scenarios, such as home medical care or people with limited mobility. Summary of the invention

[0004] The present application provides a closed-loop neural regulation method, device and system for improving mood, which can conveniently provide users with effective intervention and / or treatment.

[0005] On the one hand, the present application provides a closed-loop neural regulation device for improving mood, including a physiological parameter acquisition device, wherein the wearable physiological parameter acquisition device includes an electroencephalogram signal acquisition module, a first analog signal processing module connected to the electroencephalogram signal acquisition module, a skin electrode signal acquisition module, a second analog signal processing module connected to the skin electrode signal acquisition module, a third signal processing module, an analog-to-digital conversion module connected to both the first analog signal processing module and the second analog signal processing module, a main control module connected to both the analog-to-digital conversion module and the third signal processing module, and a first battery management module connected to both the analog-to-digital conversion 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 transmit it to the first analog signal processing module;

[0007] The first analog signal processing module is used to process the EEG signal into a corresponding first analog signal;

[0008] The skin electrical signal acquisition module is used to acquire the skin electrical signal of the user and transmit it to the second analog signal processing module;

[0009] The second analog signal processing module is used to process the skin electrical 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 signals and second digital signals respectively and transmit them to the main control module;

[0012] The main control module is used to generate corresponding control instructions according to 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 electrical parameters of the battery. The battery provides power for the analog-to-digital conversion module, the third signal processing module and the main control module.

[0014] On the other hand, the present application provides a closed-loop neuromodulation device for improving mood, including a portable neuromodulation intervention device, wherein the portable neuromodulation intervention device includes:

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

[0016] A waveform output module, used to output a corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameter to stimulate the user's site;

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

[0018] In a third aspect, the present application provides a closed-loop neural regulation method for improving mood, the method comprising:

[0019] Preprocessing the digital signal obtained by converting the user's physiological parameter signal into a two-dimensional matrix and / or time series data;

[0020] Identify the type of emotion currently felt by the user according to the two-dimensional matrix and / or the time series data;

[0021] Generate corresponding control instructions according to the type of emotion currently held by the user;

[0022] parsing the control instructions into treatment intensity parameters;

[0023] According to the treatment intensity parameter, the corresponding transcranial alternating current stimulation (tACS) waveform is output to stimulate the user's site

[0024] The present 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, the steps of the above-mentioned closed-loop neural regulation method for improving emotions are implemented.

[0025] In a fourth aspect, the present application provides a closed-loop neural regulation system for improving emotions, which includes the above-mentioned wearable physiological parameter acquisition device and the portable neural regulation intervention device, and the wearable physiological parameter acquisition device and the portable neural regulation intervention device interact through a wireless communication module.

[0026] From the technical solution provided by the present application, it can be seen that, on the one hand, compared with the existing emotion regulation scheme that directly outputs fixed treatment parameters, since the technical solution of the present application is to collect the user's physiological parameters such as EEG signals, electrocutaneous signals and EEG signals, generate corresponding control instructions and then analyze them into treatment intensity parameters, and output the corresponding transcranial alternating current stimulation tACS waveform to stimulate the user's site, therefore, the technical solution of the present 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" type of intervention treatment scheme; on the other hand, since the physiological parameter acquisition equipment and the neural regulation intervention equipment are wearable and portable, light and easy to carry, therefore, the intervention and treatment of users is more convenient than the existing schemes, and is particularly suitable for the treatment of users in specific scenarios such as home and outdoors. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 is a schematic diagram of the structure of a closed-loop neural regulation device for improving emotions provided in an embodiment of the present application;

[0029] Figure 2 is a schematic diagram of the Lang two-dimensional emotion model provided in an embodiment of the present application;

[0030] Figure 3 is a schematic diagram of a Lang two-dimensional emotion model provided by another embodiment of the present application;

[0031] Figure 4 is a schematic diagram of the two-dimensional coordinate relationship between valence, arousal and emotion type provided in an embodiment of the present application;

[0032] Figure 5 is a schematic diagram of the structure of a wearable physiological parameter acquisition device provided in an embodiment of the present application;

[0033] Figure 6 is a schematic diagram of the structure of a closed-loop neural regulation device for improving emotions provided by another embodiment of the present application;

[0034] Figure 7 It is a three-view diagram of a portable neuromodulation intervention device provided in an embodiment of the present application;

[0035] Figure 8 The embodiment of this application provides Figure 7 A schematic diagram of a user interface of an exemplary portable neuromodulation intervention device;

[0036] Fig. 9 is a flow chart of a closed-loop neural regulation method for improving emotions provided in an embodiment of the present application;

[0037] Fig.10 It is a schematic diagram of the structure of the closed-loop neural regulation system for improving emotions provided in an embodiment of the present application;

[0038] Fig.11 Schematic diagram of mood improvement stimulation sites provided in the embodiments of the present application;

[0039] Fig.12 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

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

[0042] In this specification, for the convenience of description, the sizes of various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0043] Modern medical research has found that emotions are not only an important indicator of human physical and mental health, but also that good and positive emotions contribute to the recovery of various physiological or psychological diseases. On the contrary, negative emotions become a huge obstacle to the recovery process of various physical and mental diseases. Therefore, the industry has been exploring various solutions for regulating emotions, including some medical devices for emotion regulation. However, existing emotion regulation solutions, such as intervention treatment equipment for deep depression, generally directly output fixed treatment parameters, rather than dynamically adjusting treatment parameters in real time according to the patient's specific conditions, thereby achieving personalized treatment; on the other hand, existing emotion regulation equipment is large and bulky, and is not suitable for specific scenarios, such as home medical care or people with limited mobility.

[0044] In view of the above problems of the prior art, the present application proposes a closed-loop neural regulation device for improving emotions, including a wearable physiological parameter collection device, such as Figure 1 As shown, the wearable physiological parameter acquisition device may include an EEG signal acquisition module 11, a first analog signal processing module 12 connected to the EEG signal acquisition module 11, a skin electrode signal acquisition module 13, a second analog signal processing module 14 connected to the skin electrode signal acquisition module 13, a third signal processing module 15, an analog-to-digital conversion module 16 connected to both the first analog signal processing module 12 and the second analog signal processing module 14, a main control module 17 connected to both the analog-to-digital conversion module 16 and the third signal processing module 15, and a first battery management module 18 connected to the analog-to-digital conversion 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] A first analog signal processing module 12, used for processing the user's EEG signal into a corresponding first analog signal;

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

[0048] A second analog signal processing module 14, used for processing the skin electrical 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 signals and second digital signals respectively and transmit them to the main control module 17;

[0051] A main control module 17, used to generate corresponding control instructions according to 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 electrical parameters of the battery, wherein 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 It can be seen from the example closed-loop neural regulation device for improving emotions that, on the one hand, compared with the existing emotion regulation scheme that directly outputs fixed treatment parameters, the technical scheme of the present application is to collect the user's EEG signals, skin electrodes signals, heart rate, blood oxygen, temperature data, posture data and other physiological parameters, generate corresponding control instructions and then analyze them into treatment intensity parameters, and output the corresponding transcranial alternating current stimulation tACS waveform to stimulate the user's site. Therefore, the technical scheme of the present 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" type of intervention treatment scheme; on the other hand, since the physiological parameter acquisition device is wearable, light and easy to carry, the intervention and treatment of the user is more convenient than the existing scheme, and is particularly suitable for the treatment of users in specific scenarios such as home and outdoors.

[0054] In the embodiments of the present application, Figure 1 The third signal processing module 15 of the example may include a skin temperature sensor (SKT), a pulse wave sensor (PPG) and a posture sensor (ACC), wherein the skin temperature sensor is actually a chip integrating a temperature sensor, an analog front-end circuit and an analog-to-digital converter. After the user's skin temperature analog signal is collected by the temperature sensor, the signal is converted by its integrated AFE analog front-end circuit, 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) is similar to the aforementioned skin temperature sensor, and is also a chip integrating a pulse (or heart rate) sensor (for collecting the user's pulse or heart rate), an analog front-end circuit and an analog-to-digital converter. The posture sensor (ACC) is a chip integrating a posture sensor (for collecting data such as the user's position and posture), an analog front-end circuit and an analog-to-digital converter. Considering that different emotional states of people are also highly correlated with electrooculogram signals (i.e., muscle electrical signals of the eye), the third signal processing module 15 can also process electrooculogram signals EOG including horizontal electrooculogram HEOG and vertical electrooculogram VEOG.

[0055] In the embodiments of the present application, Figure 1The first battery management module 18 of the example protects the battery by collecting the electrical parameters of the battery, and these batteries power the 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), which is to realize the charge and discharge management of the system, the collection of signals such as the battery side current and voltage, and then evaluate and judge based on the collected electrical signals to implement the corresponding related protection, such as undervoltage protection, overcurrent protection and short circuit protection, etc.

[0056] In one embodiment of the present application, Figure 1 The exemplary 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 collection electrode is used to collect the user's EEG signal and transmit it to the first analog front-end circuit in the form of a differential bioelectric signal with the reference electrode.

[0058] As a physiological parameter of human beings, electroencephalogram (EEG) signals reflect different electrical activity processes in the cerebral cortex. When a person is in different emotional states, the specific manifestations of their EEG signals are different. Therefore, EEG signals can be used to perform more accurate emotion recognition. The amplitude of EEG signals is very small, generally at the microvolt (uV) level, and there are mainly five categories:

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

[0060] 2) Theta waves (4-8 Hz), whose signal amplitude is generally 100-150 μV, are classified as "slow activity". Theta waves are usually associated with cognitive processes and become more prominent whenever encountering difficult tasks.

[0061] 3) Alpha waves (8-13 Hz), whose signal amplitude is generally 20-100 μV, mainly occur in the parietal and occipital lobes; when the human body is in a calm state, the Alpha wave level will increase, and biofeedback training often uses Alpha waves to detect relaxation states.

[0062] 4) Beta waves (13-30Hz), whose signal amplitude is generally 5-20μV. The activities corresponding to Beta waves are "fast" activities, which mainly occur in the frontal and temporal lobes. When a person is in a high-intensity emotional state, such as excitement or fear, Beta waves will become prominent.

[0063] 5) Gamma waves (>30Hz) are the high-frequency components of brain waves, with an amplitude usually below 2μV. Some researchers believe that gamma waves reflect the focus of attention and act as a carrier frequency to facilitate data exchange between brain regions.

[0064] The first analog front-end circuit is used for amplifying, filtering and denoising the differential EEG signal and then inputting the signal into the first analog signal processing module.

[0065] In the embodiment of the present application, the first analog front-end circuit includes an amplification, filtering and noise removal module, wherein the amplification module is a voltage follower circuit composed of an operational amplifier having a 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 filtering noise, and the noise removal module is a notch filter circuit for filtering high-frequency interference noise. After the first analog front-end circuit amplifies, filters and removes noise for the differential EEG signal through the above modules, the processed EEG signal is input into the first analog signal processing module.

[0066] The bias electrode is used to eliminate the common mode interference caused by the power frequency in the wearable physiological parameter acquisition equipment.

[0067] In one embodiment of the present application, Figure 1 The exemplary skin electrical 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 active electrode and the second active electrode are used to collect the user's skin electrical signal and transmit it to the second analog front-end circuit in the form of differential bioelectric signal.

[0069] When human emotions change, it will cause changes in skin sweat secretion. Sweating affects the change in human skin salt content. The change in salt content will cause a change in resistivity. The characteristics of this change can be used to identify emotions and classify them reasonably. GSR (Glavanic Skin Response) is sometimes also called skin electroactivity (EDA), that is, skin electrical activity signal. Generally speaking, the GSR sensor mainly contacts the skin through two metal electrodes (the first active electrode 31 and the second active electrode 32 in this application), and then obtains the skin electrical activity signal, that is, the skin electrical signal, through a resistance-voltage conversion circuit, and finally recognizes and judges emotions based on this skin electrical signal. In most cases, the metal electrodes are generally arranged on the fingers, wrists, feet, shoulders, forehead, etc., and this application is mainly placed on the forehead.

[0070] The second analog front-end circuit is used for converting, amplifying, and filtering the differential electrodermal signal and then inputting it into the second analog signal processing module.

[0071] Unlike the first analog front-end circuit of the aforementioned embodiment, in the embodiment of the present application, the second analog front-end circuit first converts the differential skin electrode signal into a voltage signal through its internal resistance-to-voltage conversion circuit, and 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 first analog front-end circuit of the aforementioned embodiment for amplifying and filtering the differential EEG signal, and will not be elaborated on.

[0072] In one embodiment of the present application, Figure 1 The exemplary main control module 17 may include a pre-processing 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 converted by the analog-to-digital conversion module 16 and the third digital signal generated by the third signal processing module 15 into a two-dimensional matrix and / or time series data.

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

[0075] Here, we first explain the Lang two-dimensional emotion model. Figure 2 As shown in , that is, emotion recognition can be divided into two dimensions, the first dimension is valence, and the second dimension is arousal. Valence usually indicates the degree of emotional pleasure, and arousal indicates the change process of emotion from unexcited to excited, which can be represented by a two-dimensional coordinate system, such as Figure 2As shown in the figure, the horizontal axis is valence and the vertical axis is arousal. According to the two-dimensional emotion model, different horizontal and vertical axes can be used to subdivide emotions into sadness, happiness, relaxation, depression, boredom, fear, etc. Another Lang two-dimensional emotion model is as follows Figure 3 As shown in Figure 2, emotions are also identified in two dimensions, namely valence and arousal. Valence corresponds to Figure 3 The vertical axis in the figure represents the degree of pleasure in human emotional state, from unhappy to happy, and the arousal corresponds to the horizontal axis in the figure, representing the degree of excitement in human emotional state, from calm to excited. By dividing each emotional state in the above two dimensions, it can be mapped into a two-dimensional emotional space.

[0076] The classification unit calculates the valence and arousal based on the two-dimensional matrix and / or time series data, and then identifies the type of emotion the user is currently feeling based on the valence, arousal, and emotion type as shown in the following table:

[0077] Table 1: Emotion types based on valence and arousal

[0078]

[0079] Among them, LVLA is Low Valence Low Arousal, and its corresponding emotion type is depression; LVHA is Low Valence High Arousal, and its corresponding emotion type is fear and anger; HVLA is High Valence Low Arousal, and its corresponding emotion type is relaxation; HVHA is High Valence High Arousal, and its corresponding emotion type is happiness. If expressed in two-dimensional coordinates, valence, arousal and emotion type are as follows Figure 4 shown.

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

[0081] The instruction generation unit is used to generate corresponding control instructions according to the type of emotion currently felt by the user.

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

[0083] In one embodiment of the present application, Figure 1 The exemplary closed-loop neuromodulation device for improving mood may further include a first wireless communication module for transmitting the control instructions 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 structure of a wearable physiological parameter acquisition device exemplified in this application. The overall structure is similar to a headband, which is retractable and can be worn on the user's forehead in a wearable manner. Electrodes A, B, C, and D constitute the EEG signal acquisition module. Electrode A and electrode D are active electrodes, and their core is to realize the acquisition of EEG signals; electrode B is the reference GND electrode of the EEG signal acquisition module; electrode C is the reference electrode of the EEG signal acquisition module. Electrode A and electrode C form a differential signal and transmit the EEG signal to the subsequent first analog front-end circuit. Electrode A is in the FP1 position, and FP1 is arranged in the international EEG standard lead system; electrode B is in the FP2 position, and FP2 is also arranged in the international EEG standard lead system. Electrodes E and F constitute the skin electrode signal acquisition module, and electrodes E and F also transmit the skin electrode signal to the subsequent second analog front-end circuit in the form of a differential signal. The position of G is actually in the form of a slot, and then 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 of the user's forehead and then send them to the main control module 17 for processing through the IIC bus.

[0085] See also Figure 6 Yes, it is a closed-loop neural regulation device for improving mood proposed in another embodiment of the present application, including a portable neural regulation intervention device, the portable neural regulation 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 instructions transmitted by the wearable physiological parameter acquisition device and parse the control instructions into treatment intensity parameters.

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

[0088] The waveform output module 602 is used to output the corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameter to stimulate the user's site.

[0089] The second battery management module 603 is used to protect the battery by collecting the electrical parameters of the battery, wherein the battery provides power for the second wireless communication module 601 and the waveform output module 602 .

[0090] like Figure 7 As shown, there are three views of the portable neural regulation intervention device provided in the embodiment of the present application, that is, from left to right, they are a front view, a top view and a bottom view, and the functions of each device from A to I are described as follows:

[0091] A display: mainly used to display tACS related parameters, power and other parameters;

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

[0093] C Start / Pause button: The core function is to switch between the start output and pause output of stimulation;

[0094] D Plus button: to increase the parameter, short press to increase the step by 1, long press to increase quickly;

[0095] E Power button: to control the power on and off of the device;

[0096] F Minus button: to reduce the parameter, short press to step by 1, long press to reduce quickly;

[0097] G is charging, and the charging completion indicator window;

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

[0099] I type-C charging port.

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

[0101] (1) Use the buttons to adjust the stimulation mode, stimulation intensity parameters, and stimulation time parameters. 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, and closed-loop control mode; tDCS mode, tACS mode, tPCS mode, and tRNS mode require manual control; while the closed-loop control mode continuously receives control instructions sent from the wearable multimodal physiological parameter acquisition device and outputs corresponding stimulation waveforms based on the control instructions.

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

[0104] This application proposes a closed-loop neural regulation method for improving mood, and its flow chart is as shown in the attached Fig. 9 As shown, it mainly includes steps S901 to S905, which are described in detail as follows:

[0105] Step S901: pre-processing the digital signal converted from 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 signals, electrodermal signals, electrocardiogram signals and posture data.

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

[0108] Among them, the types of emotions can be frustration, fear, anger, relaxation and happiness, etc.

[0109] Step S903: Generate corresponding control instructions according to the type of emotion currently felt by the user.

[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, and so on.

[0111] Step S904: parsing the control instruction 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 emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 1.5mA, 20min, daily, that is, transcranial alternating current stimulation at site F3 / F4 for 20 minutes every day with a frequency of 10Hz and a current of 1.5mA; for the LVHA type of negative emotions, the stimulation parameters are: tACS, F3 / F4, 10Hz, 2mA, 20min, daily, that is, transcranial alternating current stimulation at site F3 / F4 for 20 minutes every day with a frequency of 10Hz and a current of 2mA; for HVHA and HVLA types of emotions, there is no stimulation output.

[0113] Step S905: According to the treatment intensity parameter, the corresponding transcranial alternating current stimulation (tACS) waveform is output to stimulate the user's site.

[0114] Specifically, the corresponding transcranial alternating current stimulation (tACS) waveform is output to the user Fig.11 Exemplary F3 and F4 sites were stimulated.

[0115] Please see attached Fig.10 , is a closed-loop neural regulation system for improving emotions provided by an embodiment of the present application, which may include Figure 1 The exemplary wearable physiological parameter acquisition device 101 and Figure 6 In the example portable neuroregulatory intervention device 102, the wearable physiological parameter acquisition device 101 and the portable neuroregulatory intervention device 102 interact through a wireless communication module, for example, through the first wireless communication module of the wearable physiological parameter acquisition device 101 and the second wireless communication module of the portable neuroregulatory intervention device 102, and the interaction data mainly includes the control instructions generated by the wearable physiological parameter acquisition device 101.

[0116] Fig.12 Schematic diagram of the structure of an electronic device provided by an embodiment of the present application. Fig.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 of a closed-loop neural regulation method for improving emotions. When the processor 120 executes the computer program 122, the steps in the above-mentioned closed-loop neural regulation method for improving emotions are implemented, such as Fig. 9 Steps S901 to S905 are shown.

[0117] Exemplarily, the computer program 122 of the closed-loop neural regulation method for improving emotions 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 emotion the user is currently experiencing based on the two-dimensional matrix and / or time series data; generating corresponding control instructions based on the type of emotion the user is currently experiencing; parsing the control instructions into treatment intensity parameters; and outputting corresponding transcranial alternating current stimulation tACS waveforms based on the treatment intensity parameters to perform site stimulation on the user.

[0118] The electronic device 12 may include but is not limited to a processor 120 and a memory 121. Those skilled in the art will appreciate that Fig.12 It is only an example of the electronic device 12 and does not constitute a limitation of the electronic device 12. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), 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, etc.

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

[0121] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0122] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0123] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0124] In the embodiments provided in the present application, it should be understood that the disclosed devices / equipment and methods can be implemented in other ways. For example, the device / equipment embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

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

[0126] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0127] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program of the closed-loop neural regulation method for improving emotions can be stored in a storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments, that is, pre-processing 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 emotion currently held by the user according to the two-dimensional matrix and / or time series data; generating corresponding control instructions according to the type of emotion currently held by the user; parsing the control instructions into treatment intensity parameters; and outputting the corresponding transcranial alternating current stimulation tACS waveform according to the treatment intensity parameters to perform site stimulation on the user. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. Storage media may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in the storage medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, storage media do not include electric carrier signals and telecommunication signals.

[0128] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. The specific implementation methods described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only the specific implementation method of the present application, and is not used to limit the protection scope of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present invention.

Claims

1. A closed-loop neural regulation device for improving mood, comprising a wearable physiological parameter acquisition device, characterized in that: The wearable physiological parameter acquisition device includes an EEG signal acquisition module, a first analog signal processing module connected to the EEG signal acquisition module, a skin electrode signal acquisition module, a second analog signal processing module connected to the skin electrode signal acquisition module, a third signal processing module, an analog-to-digital conversion module connected to both the first analog signal processing module and the second analog signal processing module, a main control module connected to both the analog-to-digital conversion module and the third signal processing module, and a first battery management module connected to both the analog-to-digital conversion 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 transmit it to the first analog signal processing module; The first analog signal processing module is used to process the EEG signal into a corresponding first analog signal; The skin electrical signal acquisition module is used to acquire the skin electrical signal of the user and transmit it to the second analog signal processing module; The second analog signal processing module is used to process the skin electrical 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 signals and second digital signals respectively and transmit them to the main control module; The main control module is used to generate corresponding control instructions according to the first digital signal, the second digital signal and the third digital signal; The first battery management module is used to protect the battery by collecting the electrical parameters of the battery. The battery provides power for the analog-to-digital conversion module, the third signal processing module and the main control module.

2. The closed-loop neural regulation device for improving mood as claimed 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 collection electrode is used to collect the EEG signal of the user and 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 remove noise from the differential EEG signal and then input it into the first analog signal processing module; The bias electrode is used to eliminate the common mode interference of the device caused by the power frequency.

3. The closed-loop neural regulation device for improving mood as claimed in claim 1, characterized in that: The electrodermal signal acquisition module includes a first active electrode, a second active electrode and a second analog front-end circuit; The first active electrode and the second active electrode are used to collect the skin electrical signal of the user and transmit it to the second analog front-end circuit in the form of differential bioelectric signals; The second analog front-end circuit is used for converting, amplifying, and filtering the differential electrodermal signal and then inputting it into the second analog signal processing module.

4. The closed-loop neural regulation device for improving mood according to any one of claims 1 to 3, characterized in that: The main control module comprises: A preprocessing unit, used for preprocessing the first digital signal, the second digital signal and the third digital signal into a two-dimensional matrix and / or time series data; A classification unit, used to identify the type of emotion currently felt by the user according to the two-dimensional matrix and / or the time series data; The instruction generating unit is used to generate corresponding control instructions according to the type of emotion currently felt by the user.

5. The closed-loop neural regulation device for improving mood as claimed in claim 4, characterized in that: The device also includes a first wireless communication module, which is used to transmit the control instructions generated by the main control module to the portable neural regulation intervention device through wireless communication.

6. A closed-loop neuromodulation device for improving mood, including a portable neuromodulation intervention device, characterized in that: The portable neuromodulation intervention device comprises: A second wireless communication module is used to receive control instructions transmitted by the wearable physiological parameter acquisition device and parse the control instructions into treatment intensity parameters; A waveform output module, used to output a corresponding transcranial alternating current stimulation (tACS) waveform according to the treatment intensity parameter to stimulate the user's site; The second battery management module is used to protect the battery by collecting the electrical parameters of the battery, and the battery provides power for the second wireless communication module and the waveform output module.

7. The closed-loop neural regulation device for improving mood as claimed in claim 6, characterized in that: The treatment intensity parameters include stimulation parameters for depression and stimulation parameters for fear and anger.

8. A closed-loop neural regulation method for improving mood, characterized in that: The method comprises: Preprocessing the digital signal obtained by converting the user's physiological parameter signal into a two-dimensional matrix and / or time series data; Identify the type of emotion currently felt by the user according to the two-dimensional matrix and / or the time series data; Generate corresponding control instructions according to the type of emotion currently held by the user; parsing the control instructions into treatment intensity parameters; According to the treatment intensity parameter, a corresponding transcranial alternating current stimulation (tACS) waveform is output to perform site stimulation on the user.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to claim 8 are implemented.

10. A closed-loop neural regulation system for improving mood, characterized in that: The emotion-improving closed-loop neural regulation system comprises the wearable physiological parameter acquisition device described in claim 1 and the portable neural regulation intervention device described in claim 6, and the wearable physiological parameter acquisition device and the portable neural regulation intervention device interact via a wireless communication module.

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