Recognition of Direction of Finger Movement from Eeg Signal Using Markov Models
نویسنده
چکیده
The article describes method, process and results of single-trial EEG signal classification using Hidden Markov Models (HMM). EEG accompanying fast extension and flexion movement of right index finger is classified. The aim of our study is to verify classification possibilities of the very closely localized and similar movements. The used classification system is able to distinguish between movements. A relationship between statistic processing, results of classification and characteristic of EEG (ERS, ERD) is given.
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تاریخ انتشار 2005