Self-adaption brain neural feedback method and system based on near-infrared spectrum technology

Abstract

The invention provides a self-adaption brain neural feedback method and system based on a near-infrared spectrum technology. The method comprises the steps that 1) cerebral blood oxygen signals of a participant during a specific training task are collected; 2) the collected cerebral blood oxygen signals are pretreated to remove motion artifacts and abnormal signals in original signals and performbaseline correction; 3) a neural activity intensity index of a specific functional area of the brain is extracted from the pre-treated cerebral blood oxygen signals and fed back to the participant; 4)self-adjustment is performed according to received visual feedback information, and the cerebral blood oxygen signals of the participant are collected again and input into a self-adaption feedback module, the self-adaption feedback module treats the cerebral blood oxygen signals, extracts the neural activity intensity index of the specific functional area of the brain, compares the neural activity intensity index with the neural activity intensity index in step 3), and gives corresponding reward feedback and penalty feedback, thereby achieving the self-adaption feedback adjustment of the neural activity.

Description

technical field [0001] The invention belongs to the field of rehabilitation aids and aims at people with motor dysfunction caused by cranial nerve injury, and in particular relates to an adaptive neurofeedback method and system. Background technique [0002] Neurofeedback is a form of biofeedback that intervenes in behavior-related neural activity by presenting measured neural activity to participants in real-time, visually, auditorily, or otherwise, to facilitate self-regulation of neural activity based on a specific behavior or pathology, Then restore or enhance related functions. [0003] Neural activity signals collected by electroencephalogram equipment (EEG) as feedback information have been widely used in various research and clinical applications. In the neurofeedback system based on EEG technology, participants successfully self-regulated EEG rhythm waves according to the feedback signal. (Musall S, Von P V, Rauch A, et al. Effects of neural synchrony on surface E...

AI Technical Summary

Problems solved by technology

[0006] Most of the existing neurofeedback systems are based on EEG signals and functional magnetic resonance signals, but the spatial resolution of EEG methods is low, and the targeting of neural activity functional areas is poor; the temporal resolution of functional magnetic resonance methods is low, which is not suitable for real-time online feedback , and expensive, poor comfort

Images