METHOD FOR PRODUCING TWO-DIMENSIONAL SPATIOSPECTRAL ERD/ERS PATTERNS FROM ELECTROENCEPHALOGRAM, METHOD FOR CLASSIFYING MENTAL TASKS BASED ON THE TWO-DIMENSIONAL SPATIOSPECTRAL PATTERNS AND BRAIN-COMPUTER INTERFACE SYSTEM USING CLASSIFIED ELECTROENCEPHALOGRAM BY THE CLASSIFYING METHOD AS INPUT SIGNAL

摘要

According to the present invention, a two-dimensional space-frequency ERD / ERS patterns on how to create a stable state of the subjects EEG and Tasks performed EEG of a subject to be measured through the electrode step S1-1, S1-1 steady-state measured in step EEG and EEG, each task performing steady-state two-dimensional electrode-frequency power pattern and a two-dimensional electrode task-frequency power pattern S1-2 and S1-2 steps to transform the two-dimensional electrode converted in step task-frequency power and steady-state two-dimensional pattern electrode patterns are compared with the frequency power incident-related ERD / ERS values with a space-frequency ERD / ERS patterns include step S1-3 produced. A two-dimensional space in accordance with the present invention a method of classifying a human intention using Frequency ERD / ERS pattern space-frequency ERD / ERS to the pattern to be classified into a database the specific intention of the subject with high accuracy ;