Attention deficit hyperactivity disorder regulation and control method and system and storage medium

Abstract

The invention belongs to the technical field of brain-computer interfaces, discloses an attention deficit hyperactivity disorder regulation and control method and system and a storage medium, and aims to simply and quickly regulate and control attention deficit hyperactivity disorder. The method comprises the following steps: firstly, acquiring an original brain wave signal of a patient; then, band-pass filtering is carried out on the original brain wave signals, the original brain wave signals are decomposed into beta wave signals and theta wave signals of different frequency bands, Fourier transform is carried out on the decomposed beta wave signals and theta wave signals of different frequency bands, and the power of the corresponding signals is obtained; then, according to the decomposed power of the beta wave signal and the theta wave signal of different frequency bands, calculating an attention evaluation index value; and finally, judging whether the current attention of the patient is concentrated or not according to the attention evaluation index value, and if not, controlling an electrical stimulation unit to output stimulation current according to a control strategy to electrically stimulate the patient. The invention is suitable for ADHD treatment regulation and control.

Description

Technical Field

[0001] The present invention belongs to the technical field of brain-computer interface, and specifically relates to an attention deficit hyperactivity disorder regulation method, system and storage medium. Background Art

[0002] Attention deficit and hyperactive disorder (ADHD) is a neurodevelopmental disorder characterized by inability to concentrate, overactivity, and impulsiveness. It often develops in childhood, most of which begin to appear in the preschool period. It is mainly divided into two types: childhood and adolescent ADHD and adult ADHD. The cause is not yet clear, but it is generally believed to be a combination of multiple factors such as genetics and the environment. Patients may have learning disabilities, oppositional defiant disorder, emotional disorders, adjustment disorders, etc., which may have a significant impact on their academic, work, and social life.

[0003] The existing treatment and control methods for ADHD mainly use psychological intervention and drug therapy. Among them, psychological intervention generally requires professional personnel to implement, and the control process is complicated. Drug treatment may cause adverse reactions, such as decreased appetite, nausea, abdominal pain, increased heart rate, increased blood pressure, difficulty falling asleep, and irritability.

[0004] On the other hand, the Brain-computer Interface (BCI) is a direct communication channel between the brain and external devices. Its signals come from the central nervous system and do not rely on the peripheral nerve and muscle systems during transmission. It is often used to assist, enhance, and repair the sensory-motor functions of the human body or improve human-computer interaction capabilities. According to the difference in the way of obtaining EEG signals, BCI is divided into invasive and non-invasive. Compared with invasive BCI, non-invasive BCI will not cause trauma to patients, so it is easier to accept and has a wider range of applications.

[0005] In view of this, the present invention provides an attention deficit hyperactivity disorder regulation solution based on non-invasive BCI, which can simply and quickly regulate attention deficit hyperactivity disorder. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide an attention deficit hyperactivity disorder regulation method, system and storage medium to simply and quickly regulate attention deficit hyperactivity disorder.

[0007] The technical solution adopted by the present invention to solve the above technical problems is:

[0008] In one aspect, the present invention provides a method for regulating attention deficit hyperactivity disorder, comprising the following steps:

[0009] S1, collect the original EEG signals of the patient;

[0010] S2, performing bandpass filtering on the original brain wave signal to decompose it into beta wave and theta wave signals of different frequency bands;

[0011] S3, performing Fourier transform on the decomposed β wave and θ wave signals of different frequency bands respectively to obtain the power of the corresponding signals;

[0012] S4, calculating the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands;

[0013] S5, judging whether the patient's current attention is focused according to the attention evaluation index value, if so, ending the process, otherwise proceeding to step S6;

[0014] S6. Control the electrical stimulation unit to output stimulation current according to the control strategy to perform electrical stimulation on the patient.

[0015] Furthermore, in step S2, the original EEG signal is bandpass filtered using a Butterworth bandpass filter, and the passband boundary frequencies of the β wave and the θ wave are set as follows:

[0016] According to the frequency range of theta wave: 4-8Hz; the frequency range of beta1 wave: 12.5-18.5Hz; the frequency range of beta2 wave: 18.5-21Hz; the frequency range of beta3 wave: 21-30Hz;

[0017] The frequency ranges of the above θ waves, β1 waves, β2 waves, and β3 waves are normalized according to the following formulas:

[0018] ωp1=2πfp1 / fs

[0019] ωp2=2πfp2 / fs

[0020] Among them, ωp1 and ωp2 represent the upper and lower boundaries of the passband boundary frequency after normalization, respectively; fp1 and fp2 represent the upper and lower boundaries of the frequency range before normalization, respectively; and fs represents the sampling frequency.

[0021] Furthermore, in step S4, the attention evaluation index value is calculated according to the power of the decomposed beta wave and theta wave signals of different frequency bands, including:

[0022] R=(P β1 +P β2 +P β2 ) / P θ

[0023] Among them, R represents the attention evaluation index value; P β1 , P β2 , P β2 , Pθ They represent the power of β1 wave, β2 wave, β3 wave and θ wave respectively.

[0024] Further, in step S5, judging whether the patient's current attention is focused according to the attention evaluation index value includes:

[0025] The attention evaluation index value is compared with a preset evaluation threshold value, and if the attention evaluation index value is greater than or equal to the preset evaluation threshold value, it is determined that the patient is currently concentrating.

[0026] Furthermore, in step S6, the controlling the electrical stimulation unit to output the stimulation current according to the control strategy to perform electrical stimulation on the patient includes:

[0027] The electrical stimulation unit is controlled to output three sinusoidal stimulation currents, with the frequencies of β1 wave, β2 wave and β3 wave respectively. The current frequencies are increased by 1 Hz, the patient is electrically stimulated for T1 time, and it is determined whether the current regulation time reaches T2 time. If so, the process ends, otherwise, returns to step S1.

[0028] Furthermore, the T1 time is 2 minutes, and the T2 time is 15 minutes.

[0029] In a second aspect, the present invention further provides an attention deficit hyperactivity disorder control system, comprising:

[0030] EEG acquisition unit, used to collect original EEG signals of patients;

[0031] A filtering unit, used for performing bandpass filtering on the original brain wave signal to decompose it into beta wave and theta wave signals of different frequency bands;

[0032] A control unit, used to perform Fourier transform on the decomposed beta wave and theta wave signals of different frequency bands respectively to obtain the power of the corresponding signals; calculate the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands, and judge whether the patient's current attention is focused according to the attention evaluation index value, and if not, control the electrical stimulation unit to output the stimulation current according to the control strategy;

[0033] The electrical stimulation unit is used to output stimulation current to electrically stimulate the patient under the control of the control unit.

[0034] Furthermore, the filtering unit adopts a Butterworth bandpass filter, and the passband boundary frequencies of the β wave and the θ wave are set as follows:

[0035] According to the frequency range of theta wave: 4-8Hz; the frequency range of beta1 wave: 12.5-18.5Hz; the frequency range of beta2 wave: 18.5-21Hz; the frequency range of beta3 wave: 21-30Hz;

[0036] The frequency ranges of the above θ waves, β1 waves, β2 waves, and β3 waves are normalized according to the following formulas:

[0037] ωp1=2πfp1 / fs

[0038] ωp2=2πfp2 / fs

[0039] Among them, ωp1 and ωp2 represent the upper and lower boundaries of the passband boundary frequency after normalization, respectively; fp1 and fp2 represent the upper and lower boundaries of the frequency range before normalization, respectively; and fs represents the sampling frequency.

[0040] Furthermore, the control unit calculates the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands, specifically including:

[0041] R=(P β1 +P β2 +P β2 ) / P θ

[0042] Among them, R represents the attention evaluation index value; P β1 , P β2 , P β2 , P θ They represent the power of β1 wave, β2 wave, β3 wave and θ wave respectively.

[0043] Furthermore, the control unit determines whether the patient's current attention is focused according to the attention evaluation index value, specifically including:

[0044] The attention evaluation index value is compared with a preset evaluation threshold value, and if the attention evaluation index value is greater than or equal to the preset evaluation threshold value, it is determined that the patient is currently concentrating.

[0045] Furthermore, the electrical stimulation unit includes a constant current source and three stimulation electrodes; the constant current source is used as a power source for the electrodes, and its current output is limited to 1 mA; the three stimulation electrodes are used to output three corresponding sinusoidal stimulation currents.

[0046] Furthermore, the control unit controls the electrical stimulation unit to output stimulation current according to the control strategy, specifically including:

[0047] The electrical stimulation unit is controlled to output three sinusoidal stimulation currents with frequencies of β1 wave, β2 wave, and β3 wave respectively. The current frequencies are increased by 1 Hz, and the patient is electrically stimulated for T1 time. It is determined whether the current regulation time reaches T2 time. If so, the regulation is terminated, otherwise, the control strategy is re-executed.

[0048] Furthermore, the T1 time is 2 minutes, and the T2 time is 15 minutes.

[0049] In a third aspect, the present invention further provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned attention deficit hyperactivity disorder regulation method.

[0050] The beneficial effects of the present invention are:

[0051] The present invention calculates the attention evaluation index value by collecting and processing the patient's brain wave signals, and judges whether the patient's current attention is focused based on the comparison between the attention evaluation index value and a preset threshold value. If not, the electrical stimulation unit is controlled to output the stimulation current according to the control strategy to electrically stimulate the patient, thereby increasing the activity of the patient's brain wave beta waves through electrical stimulation, thereby improving the patient's concentration. This solution can simply and quickly regulate attention deficit hyperactivity disorder, does not require drug treatment, and has no drug side effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a flow chart of the attention deficit hyperactivity disorder regulation method in Example 1 of the present invention;

[0053] Figure 2 This is a structural block diagram of the attention deficit hyperactivity disorder control system in Example 2 of the present invention. DETAILED DESCRIPTION

[0054] The present invention aims to provide a method, system and storage medium for regulating attention deficit hyperactivity disorder, which can regulate attention deficit hyperactivity disorder simply and quickly. The scheme is a regulation scheme based on non-invasive BCI, which obtains the patient's EEG signal through a non-invasive EEG signal acquisition device, calculates the attention evaluation index value after signal processing, and judges whether the patient's current attention is focused based on the comparison between the attention evaluation index value and the preset threshold. If not, the electrical stimulation unit is controlled to output the stimulation current according to the control strategy. That is, the present invention improves the patient's attention through electrical stimulation. It is a non-invasive brain stimulation technology. Through electrodes attached to the scalp, weak direct current is applied to specific areas of the brain, and the neuronal membrane potential is subthreshold regulated to increase the activity of the patient's EEG beta wave, thereby improving the patient's concentration.

[0055] The scheme of the present invention is described in detail below in conjunction with the accompanying drawings and embodiments.

[0056] Example 1

[0057] This embodiment provides a method for regulating attention deficit hyperactivity disorder, see Figure 1 , which includes the following implementation steps:

[0058] Step 1: EEG acquisition and filtering:

[0059] In this step, the patient's original EEG data (EEG) is collected by an EEG acquisition unit, and then the original EEG data is bandpass filtered to decompose it into beta wave and theta wave signals of different frequency bands. In an exemplary scheme, the filter adopts a Butterworth bandpass filter, and the passband boundary frequencies of the beta wave and theta wave are set as follows:

[0060] According to the frequency range of theta wave: 4-8Hz; the frequency range of beta1 wave: 12.5-18.5Hz; the frequency range of beta2 wave: 18.5-21Hz; the frequency range of beta3 wave: 21-30Hz;

[0061] The frequency ranges of the above θ waves, β1 waves, β2 waves, and β3 waves are normalized according to the following formulas:

[0062] ωp1=2πfp1 / fs

[0063] ωp2=2πfp2 / fs

[0064] Among them, ωp1 and ωp2 represent the upper and lower boundaries of the passband boundary frequency after normalization, respectively; fp1 and fp2 represent the upper and lower boundaries of the frequency range before normalization, respectively; and fs represents the sampling frequency.

[0065] After filtering, the decomposed β1 wave, β2 wave, β3 wave and θ wave signals can be obtained.

[0066] Step 2: Attention indicators and judgment:

[0067] In this step, the decomposed β wave and θ wave signals of different frequency bands are respectively subjected to fast Fourier transform (FFT) to obtain the power of the corresponding signals; then, according to the power of the decomposed β wave and θ wave signals of different frequency bands, the attention evaluation index value is calculated, which specifically includes:

[0068] R=(P β1 +P β2 +P β2 ) / P θ

[0069] Among them, R represents the attention evaluation index value; P β1 , P β2 , P β2 , P θ They represent the power of β1 wave, β2 wave, β3 wave and θ wave respectively.

[0070] Beta waves are usually dominant in states of alertness, thinking, and concentration. Beta waves become active when we are involved in highly cognitive tasks, so a larger R value indicates a more focused user.

[0071] Next, determine whether the patient's attention is currently focused based on the calculated attention evaluation index value. Specifically, a concentration threshold can be set, for example, 1. When the attention evaluation index value R is greater than or equal to 1, it is determined that the patient's attention is focused, and the process ends. When the attention evaluation index value R is less than 1, it is determined that the patient's attention is not focused, and the electrical stimulation in step 3 is required to improve the patient's concentration.

[0072] Step 3: Electrical stimulation regulation:

[0073] In this step, the electrical stimulation unit is controlled to output the stimulation current according to the control strategy to electrically stimulate the patient. In an exemplary scheme, the control strategy is: the electrical stimulation unit outputs three sinusoidal stimulation currents, and the frequencies are respectively the frequencies of the patient's current β1 wave, β2 wave, and β3 wave increased by 1 Hz, so that the user's β wave frequency approaches the stimulation current frequency to improve the user's concentration. After two minutes of stimulation, first determine whether the entire regulation process has reached 15 minutes. If it has been reached, exit the stimulation process. Otherwise, return to step 1 and perform the above-mentioned acquisition and data processing steps again to determine whether the user's attention is focused after stimulation. If it has reached the standard, exit the stimulation process. Otherwise, continue to repeat the stimulation steps. That is, in the entire regulation process (the process of a single regulation treatment), the frequency of the stimulation current is gradually increased, so as to gradually increase the activity of the patient's EEG β wave to improve the patient's concentration.

[0074] Example 2

[0075] This embodiment provides an attention deficit hyperactivity disorder control system, see Figure 2 The system mainly includes several parts: EEG acquisition unit, filtering unit, control unit and electrical stimulation unit; specifically:

[0076] EEG acquisition unit, used to collect original EEG signals of patients;

[0077] A filtering unit, used for performing bandpass filtering on the original brain wave signal to decompose it into beta wave and theta wave signals of different frequency bands;

[0078] A control unit, used to perform Fourier transform on the decomposed beta wave and theta wave signals of different frequency bands respectively to obtain the power of the corresponding signals; calculate the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands, and judge whether the patient's current attention is focused according to the attention evaluation index value, and if not, control the electrical stimulation unit to output the stimulation current according to the control strategy;

[0079] The electrical stimulation unit is used to output stimulation current to electrically stimulate the patient under the control of the control unit.

[0080] Among them, the electrical stimulation unit includes a constant current source and three stimulation electrodes; the constant current source is used as a power source for the electrodes, and its current output is limited to 1mA; the three stimulation electrodes are used to output three sinusoidal stimulation currents accordingly.

[0081] Since the specific functional implementation of each part of the system has been described in Example 1, it will not be repeated here.

[0082] Finally, it should be noted that the above embodiments are only preferred implementations and are not intended to limit the present invention. It should be pointed out that for those skilled in the art, several modifications, equivalent replacements, improvements, etc. can be made without departing from the scope of the present invention and the scope of protection of the claims, and all of these should be included in the protection scope of the present invention.

Claims

1. A method for regulating attention deficit hyperactivity disorder, characterized in that: The following steps are involved: S1, collect the original EEG signals of the patient; S2, performing bandpass filtering on the original brain wave signal to decompose it into beta wave and theta wave signals of different frequency bands; S3, performing Fourier transform on the decomposed β wave and θ wave signals of different frequency bands respectively to obtain the power of the corresponding signals; S4, calculating the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands; S5, judging whether the patient's current attention is focused according to the attention evaluation index value, if so, ending the process, otherwise proceeding to step S6; S6. Control the electrical stimulation unit to output stimulation current according to the control strategy to perform electrical stimulation on the patient.

2. A method for regulating attention deficit hyperactivity disorder as claimed in claim 1, characterized in that: In step S2, the original brain wave signal is bandpass filtered using a Butterworth bandpass filter, and the passband boundary frequencies of the beta wave and the theta wave are set as follows: According to the frequency range of theta wave: 4-8Hz; the frequency range of beta1 wave: 12.5-18.5Hz; the frequency range of beta2 wave: 18.5-21Hz; the frequency range of beta3 wave: 21-30Hz; The frequency ranges of the above θ waves, β1 waves, β2 waves, and β3 waves are normalized according to the following formulas: ωp1=2πfp1 / fs ωp2=2πfp2 / fs Among them, ωp1 and ωp2 represent the upper and lower boundaries of the passband boundary frequency after normalization, respectively; fp1 and fp2 represent the upper and lower boundaries of the frequency range before normalization, respectively; and fs represents the sampling frequency.

3. A method for regulating attention deficit hyperactivity disorder as claimed in claim 2, characterized in that: In step S4, the attention evaluation index value is calculated according to the power of the decomposed beta wave and theta wave signals of different frequency bands, including: R=(P β1 +P β2 +P β2 ) / P θ Among them, R represents the attention evaluation index value; P β1 , P β2 , P β2 , P θ They represent the power of β1 wave, β2 wave, β3 wave and θ wave respectively.

4. A method for regulating attention deficit hyperactivity disorder as claimed in claim 1, 2 or 3, characterized in that: In step S5, judging whether the patient's current attention is focused according to the attention evaluation index value includes: The attention evaluation index value is compared with a preset evaluation threshold value, and if the attention evaluation index value is greater than or equal to the preset evaluation threshold value, it is determined that the patient is currently concentrating.

5. A method for regulating attention deficit hyperactivity disorder as claimed in claim 1, 2 or 3, characterized in that: In step S6, the electrical stimulation unit is controlled to output a stimulation current according to a control strategy to perform electrical stimulation on the patient, including: The electrical stimulation unit is controlled to output three sinusoidal stimulation currents, with the frequencies of β1 wave, β2 wave and β3 wave respectively. The current frequencies are increased by 1 Hz, the patient is electrically stimulated for T1 time, and it is determined whether the current regulation time reaches T2 time. If so, the process ends, otherwise, returns to step S1.

6. A method for regulating attention deficit hyperactivity disorder as claimed in claim 5, characterized in that: The T1 time is 2 minutes, and the T2 time is 15 minutes.

7. A system for regulating attention deficit hyperactivity disorder, characterized in that: include: EEG acquisition unit, used to collect original EEG signals of patients; A filtering unit, used for performing bandpass filtering on the original brain wave signal to decompose it into beta wave and theta wave signals of different frequency bands; A control unit, used to perform Fourier transform on the decomposed beta wave and theta wave signals of different frequency bands respectively to obtain the power of the corresponding signals; calculate the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands, and judge whether the patient's current attention is focused according to the attention evaluation index value, and if not, control the electrical stimulation unit to output the stimulation current according to the control strategy; The electrical stimulation unit is used to output stimulation current to electrically stimulate the patient under the control of the control unit.

8. The attention deficit hyperactivity disorder control system according to claim 7, characterized in that: The filtering unit adopts a Butterworth bandpass filter, and the passband boundary frequencies of the β wave and the θ wave are set as follows: According to the frequency range of theta wave: 4-8Hz; the frequency range of beta1 wave: 12.5-18.5Hz; the frequency range of beta2 wave: 18.5-21Hz; the frequency range of beta3 wave: 21-30Hz; The frequency ranges of the above θ waves, β1 waves, β2 waves, and β3 waves are normalized according to the following formulas: ωp1=2πfp1 / fs ωp2=2πfp2 / fs Among them, ωp1 and ωp2 represent the upper and lower boundaries of the passband boundary frequency after normalization, respectively; fp1 and fp2 represent the upper and lower boundaries of the frequency range before normalization, respectively; and fs represents the sampling frequency.

9. The attention deficit hyperactivity disorder control system according to claim 8, characterized in that: The control unit calculates the attention evaluation index value according to the power of the decomposed beta wave and theta wave signals of different frequency bands, specifically including: R=(P β1 +P β2 +P β2 ) / P θ Among them, R represents the attention evaluation index value; P β1 , P β2 , P β2 , P θ They represent the power of β1 wave, β2 wave, β3 wave and θ wave respectively.

10. The attention deficit hyperactivity disorder control system according to claim 7, 8 or 9, characterized in that: The control unit determines whether the patient's current attention is focused according to the attention evaluation index value, specifically including: The attention evaluation index value is compared with a preset evaluation threshold value, and if the attention evaluation index value is greater than or equal to the preset evaluation threshold value, it is determined that the patient is currently concentrating.

11. The attention deficit hyperactivity disorder control system according to claim 7, 8 or 9, characterized in that: The electrical stimulation unit includes a constant current source and three stimulation electrodes; the constant current source is used as a power source for the electrodes, and its current output is limited to 1 mA; the three stimulation electrodes are used to output three sinusoidal stimulation currents accordingly.

12. The attention deficit hyperactivity disorder control system according to claim 11, characterized in that: The control unit controls the electrical stimulation unit to output stimulation current according to the control strategy, specifically including: The electrical stimulation unit is controlled to output three sinusoidal stimulation currents with frequencies of β1 wave, β2 wave, and β3 wave respectively. The current frequencies are increased by 1 Hz, and the patient is electrically stimulated for T1 time. It is determined whether the current regulation time reaches T2 time. If so, the regulation is terminated, otherwise, the control strategy is re-executed.

13. The attention deficit hyperactivity disorder control system according to claim 12, characterized in that: The T1 time is 2 minutes, and the T2 time is 15 minutes.

14. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the attention deficit hyperactivity disorder regulation method according to any one of claims 1 to 6 are implemented.

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