Nerve feedback system integrating individual brain wave rhythm ratio and forehead EMG (electromyography) energy

Abstract

The invention discloses a nerve feedback system integrating an individual brain wave rhythm ratio and forehead EMG (electromyography) energy and a using method of the nerve feedback system, and specifically provides a self-adaptive brain wave rhythm dividing manner. By analyzing collected brain electrical signals of an individual, a rhythm dividing interval of the individual is obtained, and subsequence nerve feedback training is performed according to the individual rhythm dividing, so that the safety of the nerve feedback training is ensured; meanwhile, the invention provides the method forintegrating the brain wave electrical rhythm ratio and the forehead EMG energy; according to the method, the forehead EMG energy is integrated with a brain wave index, so that the high efficiency of nerve feedback is ensured.

Description

technical field [0001] The present invention relates to a neurofeedback system that integrates individualized brain rhythm ratio and forehead myoelectric energy. Specifically, it performs neurofeedback training technology by fusing individualized brain nervous system rhythm ratio and brain forehead myoelectric energy to realize Attention improvement training and emotional relaxation regulation. Background technique [0002] Neurofeedback generally refers to the real-time collection and calculation of neural signal indicators (such as brain wave EEG, functional magnetic resonance imaging fMRI) during cognitive training, and then gives visual or auditory feedback to the trainees, so that the trainees can use feedback according to the feedback. Information for learning to self-regulate brain function. [0003] Electroencephalography (EEG) is the most effective and widely used neurological detection tool. Brain nerve rhythm information can be obtained by dividing EEG according...

AI Technical Summary

Problems solved by technology

[0013] In view of the fact that the fixed frequency band division cannot reflect the real brain rhythm, and the follow-up training may cause the training to be invalid or even cause harm to the user, this technology has invented a neurofeedback system that integrates individualized brain rhythm ratio and frontal myoelectric energy and Its use method, and specifically proposed an adaptive individualized EEG rhythm division method, by analyzing the EEG signals collected by the individual, the individual rhythm division interval is obtained, and the subsequent neural network is performed based on the individualized rhythm division. Feedback training ensures the efficiency and safety of neurofeedback training

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