Human brain idea recognition system based on invasive BCI

Abstract

The invention discloses a human brain idea recognition system based on invasive BCI (brain-computer interaction) equipment. The system comprises four parts, namely a specially-made invasive brain wavecollection device component, a specially-made infinite signal transmission device component (the two components are collectively referred to special invasive BCI devices), a mobile terminal APP for signal transmission and an electroencephalogram signal processing algorithm. The system comprises the following working principles: (1) the specially-made invasive electroencephalogram signal device collects intracranial three-dimensional space-time electroencephalogram signals of a human brain; (2) the signals enter specially-made transmission equipment, are synchronously amplified and coded, andare wirelessly transmitted to a mobile end; (3) after the mobile end receives the signals, the mobile end APP communicates with a cloud end in real time, and the electroencephalogram signals are uploaded; and (4) the cloud end receives the electroencephalogram signals, decodes the electroencephalogram signals, identifies signal stability through a preprocessing algorithm, extracts effective signalcharacteristics, performs signal identification through an algorithm based on electroencephalogram machine learning and deep learning, and identifies different emotions, ideas, imagined pictures, sounds and characters and the like, the identification results return to the mobile end for display, and the identification result can be applied to other human brain intelligent control equipment as input signals.

Description

Technical field: [0001] The invention belongs to the technical field of human brain intracranial electroencephalogram signal recognition, and specifically designs a system method for computer-intruded BCI device human mind recognition. Background technique: [0002] The thoughts of the human brain are divided into emotions, hobbies, instantaneous thoughts, movement instructions, etc. The most common application is to recognize the thoughts of the human brain on words, music, images, etc., and output them to the computer efficiently. The thoughts or ideas of the human brain are traceable, and can be obtained by collecting brain wave changes widely distributed in the cerebral cortex. Relevant technologies include but are not limited to: invasive and non-invasive technologies for collecting intracranial signals, such as functional magnetic resonance imaging technology, etc.; technology for constructing three-dimensional electric field data with electrode arrays; algorithm techn...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a comprehensive system based on intrusive brain-computer interaction equipment to solve the problem of comprehensive recognition of the rich ideas of the human brain that cannot be solved by other methods at present

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