Closed-loop transcranial electrical stimulation device and system

Abstract

The present application discloses a closed-loop transcranial electrical stimulation device and system, which includes: a control module, a transcranial electrical stimulation module, an electroencephalogram acquisition module, an acquisition and stimulation integrated module, and a blood oxygen detection module. The control module controls the transcranial electrical stimulation module to perform electrical stimulation on a target object according to an initial stimulation scheme. During the stimulation process, the electroencephalogram acquisition module and the blood oxygen detection module collect the electroencephalogram data, pulse data, and blood oxygen data of the target object, and adjust the initial stimulation scheme according to these data to obtain a target stimulation scheme. According to the target stimulation scheme, the transcranial electrical stimulation module is controlled to perform a new round of transcranial electrical stimulation on the target object. The closed-loop transcranial electrical stimulation device and system provided by the present application realize the function of closed-loop brain nerve stimulation.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to a closed-loop transcranial electrical stimulation device and system. Background Art

[0002] Transcranial electric stimulation (tES) is a non-invasive, economical, and well-tolerated central nervous system regulation technology that aims to stimulate the cerebral cortex by applying specific patterns of microcurrent to affect neural activity in specific brain areas.

[0003] Currently, the study of changes in brain activity after stimulation adjustment is generally completed by analyzing the EEG signals collected during stimulation. This can only be analyzed offline and cannot be adjusted in real time based on the subject's specific EEG signals. In other words, closed-loop neuro stimulation (CLNS) cannot be achieved, which results in poor stimulation effect of tES on subjects.

[0004] Therefore, the problem of how to achieve closed-loop brain neural stimulation needs to be solved urgently. Summary of the invention

[0005] The embodiments of the present application provide a closed-loop transcranial electrical stimulation device and system, which can perform transcranial electrical stimulation on a target object, monitor the EEG data of the target object in real time during the stimulation process, and adjust the stimulation scheme of the transcranial electrical stimulation according to the EEG data, thereby realizing the function of closed-loop brain nerve stimulation.

[0006] In a first aspect, an embodiment of the present application provides a closed-loop transcranial electrical stimulation device, the device comprising: a control module, a transcranial electrical stimulation module, an EEG acquisition module, an integrated acquisition and stimulation module, and a blood oxygen detection module, wherein:

[0007] The first end of the control module is connected to the first end of the EEG acquisition module, the second end of the control module is connected to the blood oxygen detection module, the third end of the control module is connected to the first end of the transcranial electrical stimulation module, the second end of the transcranial electrical stimulation module is connected to the first end of the acquisition and stimulation integrated module; the second end of the acquisition and stimulation integrated module is connected to the second end of the EEG acquisition module;

[0008] The control module is used to obtain the target medical record data of the target object, determine the expected index parameters corresponding to the target medical record data; generate a corresponding initial stimulation scheme according to the expected index parameters, generate a first control instruction according to the initial stimulation scheme, and transmit the first control instruction to the transcranial electrical stimulation module; obtain the first stimulation moment corresponding to the transcranial electrical stimulation module, and transmit the first stimulation moment to the EEG acquisition module;

[0009] The transcranial electrical stimulation module is used to generate a corresponding first stimulation current according to the first control instruction, and the first stimulation current performs transcranial electrical stimulation on the target object through the integrated acquisition and stimulation module, so that the target object generates a corresponding electroencephalogram signal;

[0010] The EEG acquisition module is used to estimate the time when the target object generates an EEG signal according to the first stimulation time to obtain a target estimated time; at the target estimated time, the EEG signal of the target object is collected through the integrated acquisition and stimulation module to obtain target EEG data;

[0011] The blood oxygen detection module is used to monitor the pulse and blood oxygen of the target object in real time, obtain pulse data and blood oxygen data, and transmit the pulse data and the blood oxygen data to the control module;

[0012] The control module is also used to determine the actual index parameters of the target object based on the target EEG data, the pulse data, and the blood oxygen data; determine the difference between the actual index parameters and the expected index parameters to obtain a target difference; adjust the initial stimulation scheme according to the target difference to obtain a target stimulation scheme; and control the transcranial electrical stimulation module to perform a new round of transcranial electrical stimulation on the target object according to the target stimulation scheme to achieve a closed-loop brain nerve stimulation function.

[0013] In a second aspect, an embodiment of the present application provides a closed-loop transcranial electrical stimulation system, the system comprising a closed-loop transcranial electrical stimulation device as described in any one of the first aspects.

[0014] It can be seen that by implementing the closed-loop transcranial electrical stimulation device provided by the embodiment of the present invention, the target medical record data of the target object is obtained through the control module, and the expected index parameters corresponding to the target medical record data are determined; the corresponding initial stimulation scheme is generated according to the expected index parameters; the transcranial electrical stimulation module is controlled to perform electrical stimulation on the target object according to the initial stimulation scheme. During the stimulation process, the EEG data, pulse data and blood oxygen data of the target object are collected through the EEG acquisition module and the blood oxygen detection module, and the initial stimulation scheme is adjusted according to these data to obtain the target stimulation scheme, and the transcranial electrical stimulation module is controlled according to the target stimulation scheme to perform a new round of transcranial electrical stimulation on the target object, thereby realizing the closed-loop brain nerve stimulation function. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background technology, the drawings required for use in the embodiments of the present application or the background technology will be described below.

[0016] Figure 1 is a structural block diagram of a closed-loop transcranial electrical stimulation device provided in an embodiment of the present application;

[0017] Figure 2 is a structural block diagram of a power module provided in an embodiment of the present application;

[0018] Figure 3 is a circuit diagram of a first power supply circuit provided in an embodiment of the present application;

[0019] Figure 4 is a circuit diagram of a second power supply circuit provided in an embodiment of the present application;

[0020] Figure 5 This is a circuit diagram of an active electrode integrating target acquisition and stimulation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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.

[0022] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0023] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0024] The following is an explanation of some professional terms involved in this application:

[0025] tES: The Chinese name is transcranial electrical stimulation. It is a non-invasive neuromodulation technology that increases or decreases the excitability of neurons by applying weak electric current to the cerebral cortex through scalp electrodes, thereby achieving the purpose of regulation.

[0026] EEG data: It is information reflecting the electrical activity of the brain recorded by a specific device. EEG data comes from the weak bioelectric signals generated by the activity of brain neurons. These signals can be detected and recorded by electrodes placed on the scalp. The brain will produce different patterns of electrical activity in different states, such as wakefulness, sleep, thinking, relaxation, etc., thus forming EEG data with different characteristics.

[0027] Stimulation parameters: In this application, stimulation parameters refer to various variables used to describe and control the tES process. Different stimulation parameters will have different effects on the stimulation effect, for example, stimulation current intensity, stimulation time, stimulation frequency, etc., which are not limited here.

[0028] Closed-loop brain nerve stimulation: refers to the process of monitoring the activity state of the brain in real time during the stimulation process, and dynamically adjusting the stimulation parameters according to the monitored brain state. For example, when the activity level of a specific area of ​​the brain is monitored to be too low, the intensity of the stimulation is automatically increased or the frequency of the stimulation is adjusted to enhance the neural activity in that area; and when the brain activity reaches the expected goal or becomes overexcited, the stimulation parameters are reduced accordingly.

[0029] See also Figure 1 , Figure 11 is a structural block diagram of a closed-loop transcranial electrical stimulation device 100 provided in an embodiment of the present application; the closed-loop transcranial electrical stimulation device 100 comprises: a control module 101, a transcranial electrical stimulation module 102, an EEG acquisition module 103, an acquisition and stimulation integration module 104, and a blood oxygen detection module 105, wherein:

[0030] The first end of the control module 101 is connected to the first end of the EEG acquisition module 103, the second end of the control module 101 is connected to the blood oxygen detection module 105, the third end of the control module 101 is connected to the first end of the transcranial electrical stimulation module 102, the second end of the transcranial electrical stimulation module 102 is connected to the first end of the acquisition and stimulation integrated module 104; the second end of the acquisition and stimulation integrated module 104 is connected to the second end of the EEG acquisition module 103;

[0031] The control module 101 is used to obtain the target medical record data of the target object, determine the expected index parameters corresponding to the target medical record data; generate a corresponding initial stimulation scheme according to the expected index parameters, generate a first control instruction according to the initial stimulation scheme, and transmit the first control instruction to the transcranial electrical stimulation module 102; obtain the first stimulation moment corresponding to the transcranial electrical stimulation module 102, and transmit the first stimulation moment to the EEG acquisition module 103;

[0032] In the embodiment of the present application, the expected indicator parameter represents a quantitative indicator of the treatment or intervention goal expected to be achieved determined based on the medical record data of the target object.

[0033] In a specific embodiment, the target medical record data of the target object can be obtained first. Specifically, the control module 101 can communicate with the hospital system of the target hospital, obtain the authorization of the hospital system, and obtain the target medical record data from the database of the hospital system, wherein the target hospital is the hospital where the target object is treated; then, the expected indicator parameters corresponding to the target medical record data can be determined; then, the corresponding initial stimulation plan can be generated according to the expected indicator parameters. Specifically, the disease suffered by the target object can be determined according to the above-mentioned target medical record data to obtain the target disease, and then, the historical treatment data of other patients with the target disease can be consulted, and the indicator parameters of other patients after different stimulation plans can be obtained from the historical treatment data to obtain multiple indicator parameters, and the indicator parameter among the multiple indicator parameters that is closest to the expected indicator parameter is used as the target indicator parameter, and the stimulation plan corresponding to the target indicator parameter is determined as the initial stimulation plan.

[0034] Then, a first control instruction can be generated according to the initial stimulation scheme. Specifically, a mapping relationship between a preset stimulation scheme and a control instruction can be pre-stored, and the first control instruction corresponding to the initial stimulation scheme can be determined based on the mapping relationship. Then, the first control instruction can be transmitted to the transcranial electrical stimulation module 102; then, the first stimulation moment corresponding to the transcranial electrical stimulation module 102 can be obtained. Specifically, the control module 101 can first record the sending time of the first control instruction, and then obtain the transmission distance between the control module 101 and the transcranial electrical stimulation module 102, and estimate the transmission time according to the transmission distance. Then, the target device type of the transcranial electrical stimulation module 102 can be obtained, and the target startup time from receiving the first control instruction to performing transcranial electrical stimulation on the target object can be determined according to the target device type. The mapping relationship between the preset device type and the startup time can be pre-stored, and the target startup time corresponding to the target device type can be determined based on the mapping relationship. The sending time plus the target startup time is equal to the first stimulation moment, and the first stimulation moment is transmitted to the EEG acquisition module 103.

[0035] In this way, the expected indicator parameters are determined based on the target medical record data, and the corresponding initial stimulation plan is generated according to the expected indicator parameters. This can fully consider the individual differences of the target objects. Different objects have different medical histories, disease states, physiological characteristics and psychological conditions. By analyzing these personalized information, a more suitable stimulation plan can be tailored for them, thereby improving the pertinence and effectiveness of transcranial electrical stimulation.

[0036] Optionally, in determining the expected indicator parameter corresponding to the target medical record data, the control module 101 is specifically used to:

[0037] A1. Determine the target disease corresponding to the target medical record data;

[0038] A2. Determine the first disease index parameter corresponding to the target disease, and obtain j first disease index parameters; j is a positive integer;

[0039] A3. Obtaining target physical examination data of a target healthy population; the target healthy population is a population that has suffered from the target disease and whose disease has been controlled or cured after treatment;

[0040] A4. Acquire data corresponding to the j first disease indicator parameters from the target physical examination data to obtain a plurality of health indicator data; each health indicator data includes j disease indicator parameters;

[0041] A5. Determine a normal indicator parameter corresponding to each of the j first condition indicator parameters according to the plurality of health indicator data, and obtain j normal indicator parameters;

[0042] A6. Obtaining the target illness duration corresponding to the target object;

[0043] A7. Determine the expected indicator parameters according to the target illness duration and the j normal indicator parameters.

[0044] In the embodiment of the present application, the target disease can be at least one of the following: depression, anxiety, schizophrenia, etc., which are not limited here; the disease index parameter is a quantitative indicator used to evaluate and describe the severity of the disease of the target object.

[0045] In a specific embodiment, the target medical record data can be analyzed to obtain the disease suffered by the target object and obtain at least one disease. Then, the disease that can be treated by transcranial electrical stimulation can be found from the at least one disease to obtain the target disease. For example, Lao Wang suffers from gout, anxiety and other diseases, among which anxiety can be treated by transcranial electrical stimulation, so anxiety can be used as the target disease. Then, the first disease indicator parameter corresponding to the target disease can be determined to obtain j first disease indicator parameters. Specifically, since different diseases correspond to different first disease indicator parameters, a mapping relationship between preset diseases and first disease indicator parameters can be pre-stored, and j first disease indicator parameters corresponding to the target disease can be determined based on the mapping relationship. For example, assuming that the target disease is anxiety, its first disease indicator parameter can be parameters such as α wave power and β wave power. α wave is related to the relaxation state. Lower α wave power reflects that the target object is in a state of tension and anxiety, and higher α wave power reflects that the target object is in a relaxed state and in a good mood.

[0046] Next, the target physical examination data of the target healthy population can be obtained. Specifically, the target physical examination data can be obtained from the database of the hospital system, or some physical examination websites can be accessed through the Internet to obtain the target physical examination data; then, data corresponding to j first disease indicator parameters can be obtained from the target physical examination data to obtain multiple health indicator data, each of which corresponds to the physical examination data of one person; then, the normal indicator parameter corresponding to each of the j first disease indicator parameters can be determined based on the multiple health indicator data to obtain j normal indicator parameters. For example, assuming that the first disease indicator parameter Q is obtained from the above multiple health indicator parameters The corresponding indicator parameter q is extracted from the data to obtain multiple indicator parameters q. The average value of the multiple indicator parameters q can be calculated and the average value is used as the normal indicator parameter Q, wherein the first condition indicator parameter Q is any one of the j first condition indicator parameters; the normal indicator parameter Q is the normal indicator parameter corresponding to the first condition indicator parameter Q; then, the target illness duration corresponding to the target object can be obtained. Specifically, the target illness duration can be queried from the hospital system, or the target object can input the target illness duration into the control module 101; finally, the expected indicator parameter can be determined based on the target illness duration and the j normal indicator parameters.

[0047] In this way, by determining the first disease indicator parameter and obtaining the corresponding data of healthy people to determine the normal indicator parameter, a more accurate reference range can be provided for treatment. In addition, by combining the specific situation of the target object, such as the duration of illness, etc., the expected indicator parameter can be determined to achieve personalized treatment, thereby improving the treatment effect.

[0048] Optionally, in determining the expected indicator parameter according to the target illness duration and the j normal indicator parameters, the control module 101 is specifically configured to:

[0049] B1. Obtain a weight group corresponding to the j normal indicator parameters; the weight group includes j weights; each weight corresponds to a normal indicator parameter;

[0050] B2. Performing calculations based on the j weights and the j normal index parameters to obtain reference expected index parameters;

[0051] B3, determining the target optimization factor corresponding to the target illness duration;

[0052] B4. Optimize the reference expected indicator parameters according to the target optimization factor to obtain the expected indicator parameters.

[0053] In the embodiment of the present application, the weight group corresponding to j normal indicator parameters can be obtained. Specifically, the importance values ​​of the j normal indicator parameters can be obtained first to obtain j importance values. Specifically, the relevant literature of the target disease can be queried, and the importance values ​​of different normal indicator parameters can be evaluated according to the literature data. Alternatively, the j normal indicator parameters can be scored by experts, and the score values ​​are used as the importance values, thereby obtaining j importance values. Then, according to the j importance values, the corresponding weights are assigned to the j normal indicator parameters to obtain j weights, that is, the weight group. For example, assuming that the j normal indicator parameters include α wave power and β wave power, the importance value of α wave power is 3, and the importance value of β wave power is 2, then the weight of α wave power can be set to 0.6, and the weight of β wave power can be set to 0.4. It should be explained that the sum of all weights in these j weights is 1.

[0054] Then, the calculation can be performed based on j weights and j normal indicator parameters. The specific calculation formula is as follows:

[0055] Reference expected indicator parameter = normal indicator parameter a × weight a1 + ... + normal indicator parameter j × weight aj;

[0056] Among them, the normal indicator parameter a is the first normal indicator parameter among the j normal indicator parameters, and the weight a1 is the weight corresponding to the normal indicator parameter a among the j weights; the reference expected indicator parameter can be obtained according to the above formula; then, the target optimization factor corresponding to the target illness duration can be determined, which can be a mapping relationship between the preset illness duration and the weight stored in advance, and the target optimization factor corresponding to the target illness duration can be determined based on the mapping relationship. The value range of the target optimization factor can be -0.3~0.3; finally, the reference expected indicator parameter can be optimized according to the target optimization factor, and the specific calculation formula is as follows:

[0057] Expected indicator parameter = reference expected indicator parameter × (1 + target optimization factor);

[0058] According to the above formula, the expected indicator parameters can be obtained.

[0059] In this way, by obtaining the weight group corresponding to j normal indicator parameters; performing calculations based on j weights and j normal indicator parameters, reference expected indicator parameters are obtained; the target optimization factor corresponding to the target illness duration is determined; the reference expected indicator parameters are optimized based on the target optimization factor to obtain the expected indicator parameters. By obtaining the weight group corresponding to the normal indicator parameters, the importance of the target disease can be distinguished according to different indicator parameters. Each normal indicator parameter has its specific clinical significance and value. The distribution of weights can reflect these differences, thereby obtaining the expected indicator parameters that match the target object.

[0060] The transcranial electrical stimulation module 102 is used to generate a corresponding first stimulation current according to the first control instruction, and the first stimulation current is passed through the integrated acquisition and stimulation module 104 to perform transcranial electrical stimulation on the target object, so that the target object generates a corresponding brain electrical signal;

[0061] Specifically, the transcranial electrical stimulation module 102 can first parse the first control instruction, which can include parameter requirements such as stimulation current intensity, frequency, duration, electrode position, etc., which are not limited here. The transcranial electrical stimulation module 102 can generate a corresponding stimulation current according to the stimulation current intensity, that is, a first stimulation current. In addition, the transcranial electrical stimulation module 102 can also select one or more electrodes from the integrated acquisition and stimulation module 104 as stimulation electrodes according to the electrode position. The first stimulation current flows into the brain of the target object through the stimulation electrode to perform transcranial electrical stimulation on it.

[0062] The EEG acquisition module 103 is used to estimate the time when the target object generates an EEG signal according to the first stimulation time to obtain a target estimated time; at the target estimated time, the EEG signal of the target object is collected through the acquisition and stimulation integration module 104 to obtain target EEG data;

[0063] Specifically, the EEG acquisition module 103 can obtain the target age of the target object, estimate the time when the target object generates an EEG signal according to the target age and the first stimulation time, and obtain the target estimated time. Specifically, the mapping relationship between the preset age and the EEG response time can be pre-stored, and the target EEG response time corresponding to the target age can be determined based on the mapping relationship. For example, young people have good physical fitness and fast nerve conduction speed, so the EEG response time is often shorter, while the elderly have slower nerve conduction speed due to their old age, resulting in a longer EEG response time. Then, calculation can be performed according to the target EEG response time and the first stimulation time. The specific calculation formula is as follows:

[0064] Target estimated time = first stimulation time + target EEG response duration;

[0065] The target estimated time can be obtained according to the above formula. At the target estimated time, the acquisition and stimulation integration module 104 is started to start collecting EEG signals of the target object to obtain target EEG data.

[0066] The blood oxygen detection module 105 is used to monitor the pulse and blood oxygen of the target object in real time, obtain pulse data and blood oxygen data, and transmit the pulse data and blood oxygen data to the control module 101;

[0067] The control module 101 is also used to determine the actual index parameters of the target object based on the target EEG data, pulse data, and blood oxygen data; determine the difference between the actual index parameters and the expected index parameters to obtain the target difference; adjust the initial stimulation plan according to the target difference to obtain the target stimulation plan; control the transcranial electrical stimulation module 102 to perform a new round of transcranial electrical stimulation on the target object according to the target stimulation plan to achieve a closed-loop brain nerve stimulation function.

[0068] In a specific embodiment, the actual index parameters of the target object can be determined based on the target EEG data, pulse data, and blood oxygen data; then, the difference between the actual index parameters and the expected index parameters can be determined. The specific calculation formula is as follows:

[0069] Target difference = |actual indicator parameter - expected indicator parameter| / expected indicator parameter × 100%;

[0070] The target difference can be obtained according to the above formula; then, the initial stimulation plan can be adjusted according to the target difference to obtain the target stimulation plan. Specifically, the initial stimulation plan can include an initial stimulation current intensity. The current intensity to be adjusted can be determined according to the target difference to obtain the current intensity to be adjusted. A mapping relationship between a preset difference and current intensity can be pre-stored, and the current intensity to be adjusted corresponding to the target difference is determined based on the mapping relationship. Then, the current intensity to be adjusted and the initial stimulation current intensity are superimposed to obtain the target stimulation current intensity, that is, the target stimulation plan.

[0071] It should be explained that the current intensity to be adjusted is a value containing positive and negative signs. If the current intensity to be adjusted is a positive number, it means that the initial stimulation current intensity is small and needs to be increased, and vice versa.

[0072] Finally, the control module 101 can control the transcranial electrical stimulation module 102 to perform a new round of transcranial electrical stimulation on the target object according to the target stimulation scheme, so that the actual index parameters of the target object can be closer to the expected index parameters, thereby realizing the closed-loop brain nerve stimulation function.

[0073] Optionally, in determining the actual indicator parameter of the target object according to the target EEG data, the pulse data, and the blood oxygen data, the control module 101 is specifically configured to include:

[0074] C1. Determine the disease condition indicator parameter corresponding to the target EEG data among the j first disease condition indicator parameters, and obtain i second disease condition indicator parameters;

[0075] C2. Determine the weights corresponding to the i second disease index parameters among the j weights to obtain i weights; i is a positive integer less than or equal to j;

[0076] C3, performing calculations according to the i weights and the i second condition index parameters to obtain reference actual index parameters;

[0077] C4. calculating the target heart rate of the target subject according to the pulse data;

[0078] C5. determining a target blood oxygen saturation of the target object according to the blood oxygen data;

[0079] C6. determining a first influence coefficient corresponding to the target heart rate;

[0080] C7. Determine a second influence coefficient corresponding to the target blood oxygen saturation;

[0081] C8. Adjust the reference actual indicator parameter according to the first influence coefficient and the second influence coefficient to obtain the actual indicator parameter.

[0082] In the embodiment of the present application, the target blood oxygen saturation may be the blood oxygen saturation in the brain.

[0083] In a specific embodiment, the disease condition indicator parameter corresponding to the target EEG data in j first disease condition indicator parameters can be determined first to obtain i second disease condition indicator parameters. Specifically, the first disease condition indicator parameters related to the EEG data can be found first to obtain multiple first disease condition indicator parameters. Then, the multiple first disease condition indicator parameters can be analyzed to determine which first disease condition indicator parameters can be directly obtained based on the EEG data, thereby obtaining i second disease condition indicator parameters; then, the weights corresponding to the i second disease condition indicator parameters in j weights can be determined to obtain i weights; then, a weighted operation can be performed based on the i weights and the i second disease condition indicator parameters, and the calculation formula is as follows:

[0084] Reference actual index parameter = second condition index parameter b×weight b1+…+second condition index parameter i×weight bi;

[0085] Among them, the second condition index parameter b is the first second condition index parameter among the i second condition index parameters, and the weight b1 is the weight corresponding to the second condition index parameter b among the i weights; according to the above formula, the reference actual index parameter can be obtained; then, the target heart rate of the target object can be calculated according to the pulse data, specifically, the pulse cycle can be calculated according to the pulse data, and then 60 is divided by the pulse cycle to obtain the target heart rate; then, the target blood oxygen saturation of the target object can be determined according to the blood oxygen data;

[0086] Then, the first influence coefficient corresponding to the target heart rate can be determined. Specifically, a mapping relationship between a preset heart rate and an influence coefficient can be pre-stored, and the first influence coefficient corresponding to the target heart rate can be determined based on the mapping relationship. The value range of the first influence coefficient can be -0.12~0.12; then, the second influence coefficient corresponding to the target blood oxygen saturation is determined. Similarly, a mapping relationship between a preset blood oxygen saturation and an influence coefficient can be pre-stored, and the second influence coefficient corresponding to the target blood oxygen saturation is determined based on the mapping relationship. The value range of the second influence coefficient can be -0.2~0.2; finally, the reference actual index parameter can be adjusted according to the first influence coefficient and the second influence coefficient. The specific calculation formula is as follows:

[0087] Actual indicator parameter = reference actual indicator parameter × (1 + first influence coefficient) × (1 + second influence coefficient);

[0088] The actual indicator parameters can be obtained according to the above formula.

[0089] In this way, i second condition index parameters are obtained by determining the condition index parameters corresponding to the target EEG data among j first condition index parameters; i weights corresponding to the i second condition index parameters among j weights are determined; calculations are performed based on the i weights and the i second condition index parameters to obtain reference actual index parameters; the target heart rate of the target object is calculated based on the pulse data; the target blood oxygen saturation of the target object is determined based on the blood oxygen data; the first influence coefficient corresponding to the target heart rate is determined; the second influence coefficient corresponding to the target blood oxygen saturation is determined; the reference actual index parameters are adjusted according to the first influence coefficient and the second influence coefficient to obtain actual index parameters. By combining multiple indicator parameters, a more comprehensive and accurate condition assessment can be obtained, avoiding the limitations that may be brought about by a single indicator and improving the reliability of the actual index parameters.

[0090] Optionally, the closed-loop transcranial electrical stimulation device 100 further includes a power module 200, see Figure 2 , Figure 2 is a structural block diagram of a power module 200 provided in an embodiment of the present application;

[0091] The power module 200 includes: a power supply battery 201, a first power supply circuit 202, a second power supply circuit 203, and a power isolation module 204, wherein:

[0092] The power supply battery 201 is respectively connected to the first end of the first power supply circuit 202 and the first end of the second power supply circuit 203, the second end of the first power supply circuit 202 is connected to the first end of the power isolation module 204, and the second end of the power isolation module 204 is connected to the second end of the second power supply circuit 203;

[0093] The power supply battery 201 is used to power the first power supply circuit 202 and the second power supply circuit 203. The first power supply circuit 202 is used to power the digital circuit in the closed-loop transcranial electrical stimulation device 100, and the second power supply circuit 203 is used to power the analog circuit in the closed-loop transcranial electrical stimulation device 100; the power isolation module 204 is used to isolate the first power supply circuit 202 and the second power supply circuit 203, thereby playing the role of electrical isolation and preventing interference between different modules.

[0094] In a specific embodiment, the power supply battery 201 can be a lithium battery that can provide a voltage of 3.7V. The power supply battery 201 is used to power the first power supply circuit 202 and the second power supply circuit 203. The two power supply circuits are also isolated by the power isolation module 204 to prevent interference between the digital circuit and the analog circuit, and to avoid the noise and switching transients of the digital circuit from affecting the analog circuit. At the same time, it can also prevent the interference of the analog circuit from being fed back to the digital circuit, thereby improving the stability of the circuit.

[0095] Optional, see Figure 3 , Figure 3 : is a circuit diagram of a first power supply circuit 202 provided in an embodiment of the present application; the first power supply circuit 202 includes: a first voltage conversion chip U1, a first capacitor C1, a second capacitor C2, a third capacitor C3, a first resistor R1, a second resistor R2, a third resistor R3, and a first inductor L1, wherein:

[0096] The first end of the first capacitor C1 is respectively connected to the power supply battery 201, the first end of the first resistor R1, and the second end of the first voltage conversion chip U1; the second end of the first resistor R1 is respectively connected to the first end of the second capacitor C2 and the third end of the first voltage conversion chip U1; the first end of the first inductor L1 is connected to the seventh end of the first voltage conversion chip U1, and the second end of the first inductor L1 is respectively connected to the sixth end of the first voltage conversion chip U1, the first end of the second resistor R2, and the first end of the third capacitor C3; the second end of the second resistor R2 is connected to the eighth end of the first voltage conversion chip U1; the first end of the third resistor R3 is connected to the fifth end of the first voltage conversion chip U1; the second end of the first capacitor C1, the second end of the second capacitor C2, the second end of the third resistor R3, and the second end of the third capacitor C3 are all grounded, and the zero end, the first end, and the fourth end of the first voltage conversion chip U1 are all grounded;

[0097] The first power supply circuit 202 is used to boost and stabilize the DC voltage provided by the power supply battery 201 to provide a stable power supply for the digital circuit in the closed-loop transcranial electrical stimulation device 100.

[0098] In a specific embodiment, the first voltage conversion chip U1 can be a DC / DC converter chip, which is used to boost and stabilize the 3.7V voltage provided by the power supply battery 201 to 6V, thereby providing a stable power supply to the digital circuit in the closed-loop transcranial electrical stimulation device 100. In addition, according to the required voltage of different modules, the first power supply circuit 202 can also output its boosted voltage to the second power supply circuit 203, which converts it into a specific voltage to provide a stable power supply to the analog circuit in the closed-loop transcranial electrical stimulation device 100. Since the DC / DC conversion principle is a common technology, it will not be repeated here.

[0099] Among them, Figure 3 As shown, VIN in the first voltage conversion chip U1 represents the input voltage pin, that is, the power input provided to the chip; EN represents the enable pin, which is used to control the working state of the chip; AGND represents the analog ground pin, which is used to provide a ground reference point for the analog circuit part inside the chip; PGND represents the power ground pin, which is used to provide a ground reference point for the power circuit part inside the chip; TP represents the test point pin; SW represents the switch node pin; VoS represents the output voltage detection pin; PG represents the power normal indication pin; FB represents the feedback pin.

[0100] It needs to be explained that Figure 3 The numbers 0 to 8 around the first voltage conversion chip U1 represent the port numbers. For example, the number 0 near the first voltage conversion chip U1 represents the zeroth terminal of the first voltage conversion chip U1, that is, the TP pin of the first voltage conversion chip U1, and so on.

[0101] in, Figure 3 The “V+6” shown indicates a positive 6V power supply; “V+3.3D” indicates a positive 3.3V power supply, and “D” may be the abbreviation of Digital, indicating that the positive 3.3V power supply is specifically used to power digital circuits.

[0102] Optional, see Figure 4 , Figure 4 : is a circuit diagram of a second power supply circuit 203 provided in an embodiment of the present application; the second power supply circuit 203 includes: a second voltage conversion chip U2, a fourth capacitor C4, a fifth capacitor C5, a fourth resistor R4, a sixth capacitor C6, and a seventh capacitor C7, wherein:

[0103] The first end of the fourth capacitor C4 is respectively connected to the power supply battery 201, the first end of the fourth resistor R4, and the first end of the second voltage conversion chip U2; the second end of the fourth resistor R4 is respectively connected to the first end of the fifth capacitor C5 and the third end of the second voltage conversion chip U2; the first end of the sixth capacitor C6 is connected to the fourth end of the second voltage conversion chip U2; the first end of the seventh capacitor C7 is connected to the fifth end of the second voltage conversion chip U2; the second end of the fourth capacitor C4, the second end of the fifth capacitor C5, the second end of the second voltage conversion chip U2, the second end of the sixth capacitor C6, and the second end of the seventh capacitor C7 are all grounded;

[0104] In a specific embodiment, the second voltage conversion chip U2 can be a linear regulator chip, and the second power supply circuit 203 is used to perform voltage conversion processing on the DC voltage provided by the power supply battery 201 to provide a stable power supply for the analog circuit in the closed-loop transcranial electrical stimulation device 100.

[0105] Among them, Figure 4 As shown, VIN in the second voltage conversion chip U2 represents an input voltage pin, EN represents an enable pin, GND represents a ground pin, Vo represents an output voltage pin, and BYP represents a bypass pin.

[0106] It needs to be explained that Figure 4 The numbers 1 to 5 around the second voltage conversion chip U2 represent port numbers. For example, the number 1 near the second voltage conversion chip U2 represents the first end of the second voltage conversion chip U2, that is, the VIN pin of the second voltage conversion chip U2, and so on.

[0107] in, Figure 4 The “V+6” shown indicates a positive 6V power supply; “V+5A” indicates a positive 5V power supply, and “A” is the abbreviation of analog circuit Analog, indicating that the positive 5V power supply is specifically used to power analog circuits.

[0108] Optional, see Figure 5 , Figure 5 : is a circuit diagram of a target acquisition and stimulation integrated active electrode 500 provided in an embodiment of the present application; the acquisition and stimulation integrated module 104 includes a plurality of acquisition and stimulation integrated active electrodes, wherein:

[0109] The target acquisition and stimulation integrated active electrode 500 comprises: a first operational amplifier A1, a second operational amplifier A2, a first analog switch S1, a second analog switch S2, a stimulation circuit 502, and an acquisition circuit 501. The target acquisition and stimulation integrated active electrode 500 is any one of a plurality of acquisition and stimulation integrated active electrodes;

[0110] The first end of the first analog switch S1 is connected to the first end of the second analog switch S2, the second end of the first analog switch S1 is connected to the non-inverting input of the first operational amplifier A1, and the third end of the first analog switch S1 is connected to the inverting input of the first operational amplifier A1; the output end of the first operational amplifier A1 is respectively connected to the acquisition circuit 501 and the non-inverting input of the second operational amplifier A2, and the output end of the second operational amplifier A2 is connected to the second end of the second analog switch S2; the third end of the second analog switch S2 is connected to the stimulation circuit 502; the inverting input of the second operational amplifier A2 can be grounded.

[0111] The target acquisition and stimulation integrated active electrode 500 is used to enter a corresponding working mode according to the switch states of the first analog switch S1 and the second analog switch S2. The working mode includes a stimulation mode or an acquisition mode.

[0112] In a specific embodiment, the stimulation circuit 502 is used to electrically stimulate the target object, the acquisition circuit 501 is used to acquire the EEG signal of the target object, and the first operational amplifier A1 and the first analog switch S1 constitute the electrode assembly 503. Figure 5 As shown, the cable design of the target acquisition and stimulation integrated active electrode 500 uses five cables, namely, a power line Vcc, a control line Ctr, an acquisition line Acq, a stimulation line Sti, and a ground line Gnd, as a bus of an integrated electrode.

[0113] The power line Vcc is used to provide working power for the entire target acquisition and stimulation integrated active electrode 500. Ensure that the acquisition circuit 501, the stimulation circuit 502, and the analog switch and other parts can operate normally. The control line Ctr is used to transmit control signals to control various operation modes of the target acquisition and stimulation integrated active electrode 500, for example, to control the on and off of the first analog switch S1 or the second analog switch S2 to determine whether to perform signal acquisition or stimulation output; the acquisition line Acq is used to transmit physiological signals (for example, EEG signals) from the target object to the acquisition circuit 501 for processing.

[0114] Among them, the stimulation line Sti is used to transmit the stimulation signal from the stimulation circuit 502 to the electrode assembly 503, and the target object is subjected to transcranial electrical stimulation through the electrode assembly 503. The stimulation line Sti can carry a current or voltage signal of a specific intensity, frequency and waveform, and act on the target tissue or organ through the electrode to achieve the purpose of treating, studying or regulating physiological functions. For example, in transcranial direct current stimulation, the stimulation line transmits a constant direct current to the scalp electrode, changes the membrane potential of brain neurons, and thus regulates the brain's neural activity. The ground line Gnd is grounded.

[0115] Optionally, entering a corresponding working mode according to the switch states of the first analog switch S1 and the second analog switch S2 includes:

[0116] When the first end of the first analog switch S1 is connected to the third end of the first analog switch S1, and the first end of the second analog switch S2 is connected to the second end of the second analog switch S2, the working mode of the target acquisition stimulation integrated active electrode 500 is the acquisition mode;

[0117] When the first end of the first analog switch S1 is connected to the second end of the first analog switch S1, and the first end of the second analog switch S2 is connected to the third end of the second analog switch S2, the working mode of the target acquisition and stimulation integrated active electrode 500 is the stimulation mode.

[0118] It can be seen that by implementing the closed-loop transcranial electrical stimulation device 100 provided in the embodiment of the present invention, the target medical record data of the target object is obtained through the control module 101, and the expected index parameters corresponding to the target medical record data are determined; the corresponding initial stimulation scheme is generated according to the expected index parameters; the transcranial electrical stimulation module 102 is controlled to perform electrical stimulation on the target object according to the initial stimulation scheme. During the stimulation process, the EEG data, pulse data and blood oxygen data of the target object are collected through the EEG acquisition module 103 and the blood oxygen detection module 105, and the initial stimulation scheme is adjusted according to these data to obtain the target stimulation scheme, and the transcranial electrical stimulation module 102 is controlled according to the target stimulation scheme to perform a new round of transcranial electrical stimulation on the target object, thereby realizing the closed-loop brain nerve stimulation function.

[0119] An embodiment of the present application also provides a closed-loop transcranial electrical stimulation system, which includes a closed-loop transcranial electrical stimulation device as described in any one of the above embodiments.

[0120] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0121] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0122] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, 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, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0123] The units described above 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.

[0124] 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.

[0125] If the above-mentioned integrated 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 computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0126] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A closed-loop transcranial electrical stimulation device, characterized in that: The device comprises: a control module, a transcranial electrical stimulation module, an EEG acquisition module, an acquisition and stimulation integrated module, and a blood oxygen detection module, wherein: The first end of the control module is connected to the first end of the EEG acquisition module, the second end of the control module is connected to the blood oxygen detection module, the third end of the control module is connected to the first end of the transcranial electrical stimulation module, the second end of the transcranial electrical stimulation module is connected to the first end of the acquisition and stimulation integrated module; the second end of the acquisition and stimulation integrated module is connected to the second end of the EEG acquisition module; The control module is used to obtain the target medical record data of the target object, determine the expected index parameters corresponding to the target medical record data; generate a corresponding initial stimulation scheme according to the expected index parameters, generate a first control instruction according to the initial stimulation scheme, and transmit the first control instruction to the transcranial electrical stimulation module; obtain the first stimulation moment corresponding to the transcranial electrical stimulation module, and transmit the first stimulation moment to the EEG acquisition module; The transcranial electrical stimulation module is used to generate a corresponding first stimulation current according to the first control instruction, and the first stimulation current performs transcranial electrical stimulation on the target object through the integrated acquisition and stimulation module, so that the target object generates a corresponding electroencephalogram signal; The EEG acquisition module is used to estimate the time when the target object generates an EEG signal according to the first stimulation time to obtain a target estimated time; at the target estimated time, the EEG signal of the target object is collected through the integrated acquisition and stimulation module to obtain target EEG data; The blood oxygen detection module is used to monitor the pulse and blood oxygen of the target object in real time, obtain pulse data and blood oxygen data, and transmit the pulse data and the blood oxygen data to the control module; The control module is further used to determine the actual index parameter of the target object according to the target EEG data, the pulse data, and the blood oxygen data; determine the difference between the actual index parameter and the expected index parameter to obtain a target difference; adjust the initial stimulation scheme according to the target difference to obtain a target stimulation scheme; and control the transcranial electrical stimulation module to perform a new round of transcranial electrical stimulation on the target object according to the target stimulation scheme to achieve a closed-loop brain nerve stimulation function; Wherein, in determining the expected indicator parameters corresponding to the target medical record data, the control module is specifically used to: Determining a target disease corresponding to the target medical record data; Determine the first condition indicator parameter corresponding to the target disease, and obtain j first condition indicator parameters; j is a positive integer; Obtaining target physical examination data of a target healthy population; the target healthy population is a population that has suffered from the target disease and whose disease has been controlled or cured after treatment; Acquire data corresponding to the j first disease indicator parameters from the target physical examination data to obtain a plurality of health indicator data; each health indicator data includes j disease indicator parameters; Determine a normal indicator parameter corresponding to each of the j first condition indicator parameters according to the plurality of health indicator data, and obtain j normal indicator parameters; Obtaining the target illness duration corresponding to the target object; The expected indicator parameters are determined according to the target illness duration and the j normal indicator parameters.

2. The device according to claim 1, characterized in that The device further includes a power module, which includes: a power supply battery, a first power supply circuit, a second power supply circuit, and a power isolation module, wherein: The power supply battery is respectively connected to a first end of the first power supply circuit and a first end of the second power supply circuit, the second end of the first power supply circuit is connected to a first end of the power isolation module, and the second end of the power isolation module is connected to a second end of the second power supply circuit; The power supply battery is used to power the first power supply circuit and the second power supply circuit, the first power supply circuit is used to power the digital circuit in the device, and the second power supply circuit is used to power the analog circuit in the device; the power supply isolation module is used to isolate the first power supply circuit and the second power supply circuit to perform electrical isolation and prevent interference between different modules.

3. The device according to claim 2, characterized in that The first power supply circuit includes: a first voltage conversion chip, a first capacitor, a second capacitor, a third capacitor, a first resistor, a second resistor, a third resistor, and a first inductor, wherein: The first end of the first capacitor is respectively connected to the power supply battery, the first end of the first resistor, and the second end of the first voltage conversion chip; the second end of the first resistor is respectively connected to the first end of the second capacitor and the third end of the first voltage conversion chip; the first end of the first inductor is connected to the seventh end of the first voltage conversion chip, and the second end of the first inductor is respectively connected to the sixth end of the first voltage conversion chip, the first end of the second resistor, and the first end of the third capacitor; the second end of the second resistor is connected to the eighth end of the first voltage conversion chip; the first end of the third resistor is connected to the fifth end of the first voltage conversion chip; the second end of the first capacitor, the second end of the second capacitor, the second end of the third resistor, and the second end of the third capacitor are all grounded, and the zero end, the first end, and the fourth end of the first voltage conversion chip are all grounded; The first power supply circuit is used to perform voltage boosting and voltage stabilization processing on the DC voltage provided by the power supply battery, so as to provide a stable power supply for the digital circuit in the device.

4. The device according to claim 2, characterized in that The second power supply circuit includes: a second voltage conversion chip, a fourth capacitor, a fifth capacitor, a fourth resistor, a sixth capacitor, and a seventh capacitor, wherein: The first end of the fourth capacitor is respectively connected to the power supply battery, the first end of the fourth resistor, and the first end of the second voltage conversion chip; the second end of the fourth resistor is respectively connected to the first end of the fifth capacitor and the third end of the second voltage conversion chip; the first end of the sixth capacitor is connected to the fourth end of the second voltage conversion chip; the first end of the seventh capacitor is connected to the fifth end of the second voltage conversion chip; the second end of the fourth capacitor, the second end of the fifth capacitor, the second end of the second voltage conversion chip, the second end of the sixth capacitor, and the second end of the seventh capacitor are all grounded; The second power supply circuit is used to perform voltage conversion processing on the DC voltage provided by the power supply battery to provide a stable power supply for the analog circuit in the device.

5. The device according to claim 1, characterized in that The integrated acquisition and stimulation module includes a plurality of integrated acquisition and stimulation active electrodes, wherein: The target acquisition and stimulation integrated active electrode comprises: a first operational amplifier, a second operational amplifier, a first analog switch, a second analog switch, a stimulation circuit, and an acquisition circuit. The target acquisition and stimulation integrated active electrode is any one of the multiple acquisition and stimulation integrated active electrodes; The first end of the first analog switch is connected to the first end of the second analog switch, the second end of the first analog switch is connected to the non-inverting input end of the first operational amplifier, and the third end of the first analog switch is connected to the inverting input end of the first operational amplifier; the output end of the first operational amplifier is respectively connected to the acquisition circuit and the non-inverting input end of the second operational amplifier, and the output end of the second operational amplifier is connected to the second end of the second analog switch; the third end of the second analog switch is connected to the stimulation circuit; The target acquisition and stimulation integrated active electrode is used to enter a corresponding working mode according to the switch states of the first analog switch and the second analog switch, and the working mode includes a stimulation mode or an acquisition mode.

6. The device according to claim 5, characterized in that The step of entering a corresponding working mode according to the switch states of the first analog switch and the second analog switch comprises: When the first end of the first analog switch is connected to the third end of the first analog switch, and the first end of the second analog switch is connected to the second end of the second analog switch, the working mode of the target acquisition and stimulation integrated active electrode is the acquisition mode; When the first end of the first analog switch is connected to the second end of the first analog switch, and the first end of the second analog switch is connected to the third end of the second analog switch, the working mode of the target acquisition stimulation integrated active electrode is the stimulation mode.

7. The device according to claim 1, characterized in that In determining the expected indicator parameters according to the target illness duration and the j normal indicator parameters, the control module is specifically used to: Obtain a weight group corresponding to the j normal indicator parameters; the weight group includes j weights; each weight corresponds to a normal indicator parameter; Performing calculations based on the j weights and the j normal index parameters to obtain reference expected index parameters; Determine a target optimization factor corresponding to the target illness duration; The reference expected indicator parameters are optimized according to the target optimization factor to obtain the expected indicator parameters.

8. The device according to claim 7, characterized in that In determining the actual index parameter of the target object according to the target EEG data, the pulse data, and the blood oxygen data, the control module is specifically used to include: Determine the disease condition indicator parameter corresponding to the target EEG data among the j first disease condition indicator parameters, and obtain i second disease condition indicator parameters; i is a positive integer less than or equal to j; Determine the weights corresponding to the i second disease index parameters among the j weights to obtain i weights; Performing calculations based on the i weights and the i second condition indicator parameters to obtain reference actual indicator parameters; calculating a target heart rate of the target subject based on the pulse data; determining a target blood oxygen saturation of the target object according to the blood oxygen data; Determining a first influence coefficient corresponding to the target heart rate; Determining a second influence coefficient corresponding to the target blood oxygen saturation; The reference actual indicator parameter is adjusted according to the first influence coefficient and the second influence coefficient to obtain the actual indicator parameter.

9. A closed-loop transcranial electrical stimulation system, characterized in that: The system comprises a closed-loop transcranial electrical stimulation device as described in any one of claims 1-8.

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