Helmet based on 40HZ sound, light and electricity synchronous stimulation

Abstract

The invention discloses a helmet based on 40HZ sound, light and electricity synchronous stimulation, which comprises a helmet body, two earphones, two electrode clamps and glasses are installed on the helmet body, and a brain wave acquisition module, a signal processing unit, a control instruction generation unit and an AI algorithm and big data processing unit are arranged in the helmet body. The control instruction generation unit is electrically connected with rehabilitation mechanical equipment, and the rehabilitation mechanical equipment is electrically connected with the AI algorithm and big data processing unit. The brain of a patient can be synchronously stimulated based on 40HZ sound, light and electricity, the treatment effect is improved, the motion intention can be recognized through brain waves, a control instruction is generated to automatically control rehabilitation equipment, and the automatic rehabilitation effect is achieved; the training plan and parameter setting of the rehabilitation instrument are automatically adjusted, personalized rehabilitation treatment is achieved, the treatment effect is further improved, and the rehabilitation process is accelerated.

Description

Technical Field

[0001] The present invention relates to the technical field of helmets, and in particular to a helmet based on 40HZ audio-visual-electrical synchronous stimulation. Background Art

[0002] Alzheimer's disease is commonly known as dementia, and its clinical manifestations usually include memory impairment, aphasia, cognitive impairment, executive function impairment, etc. It mostly occurs in the elderly around 70 years old. As the elderly age, it is easy to induce this symptom. In addition, young people addicted to games will also induce this symptom. The youngest Alzheimer's patient is 19 years old. As the number of Alzheimer's patients continues to increase, it has brought a huge burden to both society and families.

[0003] The existing helmets for treating Alzheimer's disease usually use sound and light stimulation methods to delay and treat dementia. This method has an unsatisfactory treatment effect, cannot be adjusted according to the patient's rehabilitation progress, and requires professional personnel to control the rehabilitation equipment, and cannot be automatically controlled. Considering the above situation, we have proposed a helmet based on 40HZ audio-visual-electrical synchronous stimulation. Summary of the Invention

[0004] Based on the technical problems existing in the background art, the present invention proposes a helmet based on 40HZ audio-visual-electrical synchronous stimulation.

[0005] A helmet based on HZ audio-visual-electrical synchronous stimulation proposed by the present invention includes a helmet body. Two earphones, two electrode clips and glasses are installed on the helmet body. A brain wave acquisition module, a signal processing unit, a control instruction generation unit, and an AI algorithm and big data processing unit are built in the helmet body. The control instruction generation unit is electrically connected to a rehabilitation mechanical device, and the rehabilitation mechanical device is electrically connected to the AI algorithm and big data processing unit.

[0006] The rehabilitation mechanical device includes a light stimulation device, a sound stimulation device and an electrical stimulation device. The electrical stimulation device is electrically connected to the two electrode clips.

[0007] The signal processing unit is electrically connected to the brain wave acquisition module, the control instruction generation unit, and the AI algorithm and big data processing unit.

[0008] Preferably, the brain wave acquisition module is used to collect the patient's brain wave signals and rehabilitation data in real time.

[0009] Preferably, the signal processing unit is used to preprocess the collected brain wave signals, including steps of filtering, amplifying and digitizing, to improve the signal quality.

[0010] Preferably, the control instruction generation unit is configured to analyze the collected electroencephalogram signals, identify the patient's movement intention, and generate control instructions according to the identified movement intention.

[0011] Preferably, the rehabilitation mechanical device is configured to receive control instructions and perform corresponding actions.

[0012] Preferably, the AI algorithm and big data processing unit are configured to analyze the patient's rehabilitation progress, automatically adjust the training plan and device parameters, and its logical steps are as follows:

[0013] S101: The signal processing unit transmits the preprocessed electroencephalogram signals and rehabilitation data to the AI algorithm and big data processing unit, and the AI algorithm and big data processing unit construct a rehabilitation database from the collected electroencephalogram signals and rehabilitation data of a large number of patients;

[0014] S102: Use machine learning algorithms to analyze the rehabilitation database and identify key indicators and patterns in the rehabilitation process;

[0015] S103: According to the analysis results, automatically adjust the training plan and parameter settings of the rehabilitation equipment to optimize the rehabilitation effect.

[0016] Compared with the existing technologies, the beneficial effects of the present invention are:

[0017] 1. By the cooperation of glasses, headphones, electrode clips and rehabilitation equipment, it is possible to synchronously stimulate the patient's brain based on 40HZ sound, light and electricity, improving the treatment effect;

[0018] 2. By the cooperation of the electroencephalogram acquisition module, signal processing unit and control instruction generation unit, it is possible to identify the movement intention through electroencephalogram and generate control instructions to automatically control the rehabilitation equipment, achieving the effect of automated rehabilitation without the need for professional operation;

[0019] 3. By the setting of the AI algorithm and big data processing unit, it is possible to automatically adjust the training plan and parameter settings of the rehabilitation equipment according to the analysis results of the rehabilitation database to optimize the rehabilitation effect;

[0020] The present invention can synchronously stimulate the patient's brain based on 40HZ sound, light and electricity, improving the treatment effect, and can identify the movement intention through electroencephalogram and generate control instructions to automatically control the rehabilitation equipment, achieving the effect of automated rehabilitation. In addition, it can automatically adjust the training plan and parameter settings of the rehabilitation equipment according to the analysis results of the rehabilitation database, realizing personalized rehabilitation treatment, further improving the treatment effect and helping to accelerate the rehabilitation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1Schematic diagram of the connection and cooperation of the helmet body, earphones, electrode clips and glasses in a helmet based on 40HZ audio-visual synchronization stimulation proposed by the present invention;

[0022] Figure 2 System block diagram of a helmet based on 40HZ audio-visual synchronization stimulation proposed by the present invention;

[0023] Figure 3 Usage flow chart of a helmet based on 40HZ audio-visual synchronization stimulation proposed by the present invention.

[0024] In the figure: 100, helmet body; 1, glasses; 2, earphones; 3, electrode clips. Detailed implementation manners

[0025] The present invention will be further explained below in conjunction with specific embodiments.

[0026] Embodiment

[0027] Refer to Figures 1-3 , this embodiment proposes a helmet based on 40HZ audio-visual synchronization stimulation, including a helmet body 100, on which two earphones 2, two electrode clips 3 and glasses 1 are installed. A brain wave acquisition module, a signal processing unit, a control instruction generation unit, and an AI algorithm and big data processing unit are built in the helmet body 100. The control instruction generation unit is electrically connected to a rehabilitation mechanical device, and the rehabilitation mechanical device is electrically connected to the AI algorithm and big data processing unit;

[0028] Among them, the brain wave acquisition module is used to collect the brain wave signals and rehabilitation data of patients in real time;

[0029] The rehabilitation mechanical device includes a light stimulation device, a sound stimulation device and an electrical stimulation device. The electrical stimulation device is electrically connected to the two electrode clips 3. Among them, the rehabilitation mechanical device is used to receive control instructions and perform corresponding actions;

[0030] The signal processing unit is electrically connected to the brain wave acquisition module, the control instruction generation unit, and the AI algorithm and big data processing unit. Among them, the signal processing unit is used to preprocess the collected brain wave signals, including steps of filtering, amplifying, and digitizing, to improve the signal quality;

[0031] The control instruction generation unit is used to analyze the collected brain wave signals, identify the movement intention of the patient, and generate control instructions according to the identified movement intention;

[0032] The AI algorithm and big data processing unit is used to analyze the rehabilitation progress of the patient, automatically adjust the training plan and equipment parameters, and its logical steps are as follows:

[0033] S101: The signal processing unit transmits the preprocessed electroencephalogram signals and rehabilitation data to the AI algorithm and big data processing unit, and the AI algorithm and big data processing unit construct a rehabilitation database from the electroencephalogram signals and rehabilitation data of a large number of patients collected;

[0034] S102: Use machine learning algorithms to analyze the rehabilitation database to identify key indicators and patterns during the rehabilitation process;

[0035] S103: According to the analysis results, automatically adjust the training plan and parameter settings of the rehabilitation equipment to optimize the rehabilitation effect;

[0036] This embodiment can stimulate the patient's brain based on 40HZ audio-visual synchronization, improve the treatment effect, and can identify the movement intention through electroencephalogram and generate control instructions to automatically control the rehabilitation equipment, achieving the effect of automated rehabilitation. In addition, it can automatically adjust the training plan and parameter settings of the rehabilitation equipment according to the analysis results of the rehabilitation database, realize personalized rehabilitation treatment, further improve the treatment effect, and help accelerate the rehabilitation process.

[0037] In this embodiment, the helmet body 100 is worn on the head, the glasses 1 correspond to the patient's eyes, the two earphones 2 are respectively inserted into the corresponding ears of the patient, and the two electrode clips 3 are respectively clipped on the corresponding earlobes of the patient. The electroencephalogram signals of the patient are collected in real time through the electroencephalogram acquisition module, and the collected electroencephalogram signals are transmitted to the signal processing unit. The signal processing unit performs preprocessing such as filtering, amplifying, and digitizing the collected electroencephalogram signals to improve the signal quality. The processed data is transmitted to the control instruction generation unit. The control instruction generation unit analyzes the processed electroencephalogram signals, identifies the movement intention of the patient, generates control instructions according to the identified movement intention, and transmits the generated control instructions to the rehabilitation equipment. The rehabilitation equipment receives the control instructions and executes corresponding actions, controlling the light stimulation device, electrical stimulation device, and sound stimulation device to turn on. The light is transmitted to the patient's eyes through the glasses 1, the sound is transmitted to the patient's ears through the earphones 2, and the electricity is transmitted to the patient's ears through the two electrode clips 3 and transmitted to the scalp through the ears. The patient is stimulated simultaneously with light, sound, and electricity, making the patient's brain active and generating 40HZ gamma waves, thus achieving the effect of 40HZ audio-visual synchronization stimulation. Through the synchronous stimulation method, the patient's brain is treated to improve the treatment effect, and through the method of automatically controlling the rehabilitation equipment by collecting the patient's electroencephalogram signals to identify the movement intention, it does not require separate operation by professionals, improving the degree of automation;

[0038] During the treatment process, the electroencephalogram acquisition module collects the patient's electroencephalogram signals and rehabilitation data, and the signal processing unit processes the data. The processed data is transmitted to the AI algorithm and the big data processing unit. The AI algorithm and the big data processing unit construct a rehabilitation database with the collected data, analyze the rehabilitation database using machine learning algorithms, identify key indicators and patterns during the rehabilitation process, and automatically adjust the training plan and parameter settings of the rehabilitation equipment according to the analysis results, realizing a personalized rehabilitation treatment plan, further improving the treatment effect, and helping to accelerate the rehabilitation process.

[0039] As described above, it is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A helmet based on 40HZ acousto-optic synchronous stimulation, comprising a helmet body (100), characterized in that, Two earphones (2), two electrode clips (3) and glasses (1) are installed on the helmet body (100). A brain wave acquisition module, a signal processing unit, a control instruction generation unit, and an AI algorithm and big data processing unit are built in the helmet body (100). The control instruction generation unit is electrically connected to a rehabilitation mechanical device, and the rehabilitation mechanical device is electrically connected to the AI algorithm and big data processing unit; The rehabilitation mechanical device includes a light stimulation device, a sound stimulation device and an electrical stimulation device, and the electrical stimulation device is electrically connected to the two electrode clips (3); The signal processing unit is electrically connected to the brain wave acquisition module, the control instruction generation unit, and the AI algorithm and big data processing unit.

2. The helmet based on 40HZ audio-visual synchronous stimulation according to claim 1, characterized in that, The brain wave acquisition module is used to collect the brain wave signals and rehabilitation data of the patient in real time.

3. The helmet based on 40HZ acousto-optic synchronous stimulation according to claim 1, characterized in that, The signal processing unit is used to preprocess the collected brain wave signals, including the steps of filtering, amplifying and digitizing, so as to improve the signal quality.

4. A helmet based on 40HZ audio-visual synchronous stimulation according to claim 1, characterized in that, The control instruction generation unit is used to analyze the collected brain wave signals, identify the movement intention of the patient, and generate control instructions according to the identified movement intention.

5. A helmet based on 40HZ audio-visual synchronous stimulation according to claim 1, characterized in that, The rehabilitation mechanical device is used to receive control instructions and execute corresponding actions.

6. The helmet based on 40HZ audio-visual synchronous stimulation according to claim 1, characterized in that The AI algorithm and big data processing unit are used to analyze the rehabilitation progress of the patient, automatically adjust the training plan and equipment parameters, and its logical steps are as follows: S101: The signal processing unit transmits the preprocessed brain wave signals and rehabilitation data to the AI algorithm and big data processing unit, and the AI algorithm and big data processing unit construct a rehabilitation database from the collected brain wave signals and rehabilitation data of a large number of patients; S102: Use machine learning algorithms to analyze the rehabilitation database and identify key indicators and patterns in the rehabilitation process; S103: According to the analysis results, automatically adjust the training plan and parameter settings of the rehabilitation equipment to optimize the rehabilitation effect.

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