KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION;고려대학교 산학협력단
发明人:
이성환,조정현,정지훈,심경환,LEE SEONG WHAN,CHO JEONG HYUN,JEONG JI HOON,SHIM KYUNG HWAN
申请号：
KR1020190052181
公开号：
KR1020200052205A
申请日:
2019.05.03
申请国别(地区):
KR
年份:
2020
代理人:
摘要：
The present invention relates to a brain-computer interface system and a method of analyzing an EEG signal expressed by an operation imagination, a) obtaining a raw EEG signal expressed during operation during a predetermined measurement time, and operating the EEG signal Filtering the fundamental frequency band associated with imagination to generate an EEG signal； b) by performing an optimal performance search algorithm for calculating the optimal expression frequency range and time range of the EEG feature pattern for the EEG signal, dividing the EEG signal into predetermined frequency intervals and converting the EEG signal into n subband signals Then detecting a maximum performance time range for each subband signal； c) extracting EEG features based on the maximum performance time range for each sub-band signal, and using the extracted EEG features to generate a classification model that recognizes a user's imagination or intended behavior, and then classifying the classification model Performing classification performance evaluation by calculating accuracy for the； And d) detecting the optimal sub-band signal having the highest performance based on the result of the classification performance evaluation, and the maximum performance time range associated with the optimal sub-band signal, thereby providing an optimized frequency-time domain for each user. The optimum performance search algorithm is generated by setting a time search window having a preset time range and applying the time search window at a predetermined threshold time interval to the measurement time of each subband signal. Performance evaluation is performed in a plurality of time ranges.본 발명은 뇌-컴퓨터 인터페이스 시스템 및 동작 상상에 의해 발현된 뇌파 신호를 분석하는 방법에 관한 것으로서, a) 기설정된 측정 시간 동안에 동작 상상시 발현되는 원시 뇌파 신호를 획득하고, 상기 원시 뇌파 신호를 동작 상상과 관련된 기본 주파수 대역으로 필터링하여 뇌파 신호를 생성하는 단계； b) 상기 뇌파 신호에 대한 뇌파 특징 패턴의 최적 발현 주파수 영역과 시간 범위를 산출하는 최적 성능 탐색 알고리즘을 수행을 수행하여, 상기 뇌파 신호를 기설정된 주파수 간격으로 분할하여 n개의 서브 밴드 신호로 변환 한 후 상기 서브 밴드 신호 별로 최대
