期刊
IEEE TRANSACTIONS ON REHABILITATION ENGINEERING
卷 8, 期 2, 页码 216-219出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/86.847821
关键词
adaptive autoregressive models; brain-computer interface (BCI); common spatial patterns (CSP); electroencephalogram (EEG) feedback; event-related desynchronization (ERD)
This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and used e.g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated.
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