Nerve feedback training instrument used for brain memory function improvement on basis of electroencephalogram

Abstract

The invention relates to a nerve feedback training instrument used for the brain memory function improvement on the basis of electroencephalogram. The scalp electroencephalogram collected in the brain activity process can be used for carrying out quantitative detection on the real-time state of the memory, the electroencephalogram rhythm waves presenting the memory level are shown to users to guide the users to consciously regulate the electroencephalogram rhythm waves, and the goal of improving the memory level is reached. The instrument is characterized in that firstly, an electroencephalogram collection module is used for collecting the electroencephalogram of the users under the classical memory task, and the electroencephalogram rhythm waves presenting the memory level are extracted; and then, the real-time memory state of the brain is described through an electroencephalogram analysis module and is fed back and output to the users in a striking and attractive mode. The users can directionally regulate the electroencephalogram rhythm waves according to the real-time feedback, and the goal of improving the memory is reached. The memory electroencephalogram of the users is used as the feedback signals of the system in a nerve feedback system for the first time, and the invention provides a new idea for the application direction of the nerve feedback system.

Description

technical field [0001] The invention relates to a neurofeedback training instrument based on EEG signals for improving brain memory function, specifically refers to online collection of human brain scalp EEG signals and sending them to an EEG analysis module. The distribution characteristics of the wave components can predict the current memory level of the brain in real time, and through neurofeedback training, guide the user to consciously adjust the rhythmic waves related to the memory level in the EEG signal to achieve the function of improving memory. The whole process is based on the analysis and processing of EEG signals, and the analysis results are fed back to users in real time, allowing users to better understand the state of EEG rhythm waves in their own brains that represent memory levels, and encouraging users to self-regulate EEG signals. To achieve the purpose of improving memory ability. The invention belongs to the combined application of the field of cognit...

AI Technical Summary

Problems solved by technology

However, these training feedback methods are all behavioral feedback methods, that is, according to each user’s performance and scores in the training task, the training difficulty is gradually adjusted,

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