Classification of Mental Tasks from EEG Signals Using Spectral Analysis, PCA and SVM
نویسندگان
چکیده
منابع مشابه
PCA+HMM+SVM for EEG pattern classification
Electroencephalogram (EEG) pattern classification plays an important role in the domain of brain computer interface (BCI). Hidden Markov model (HMM) might be a useful tool in EEG pattern classification since EEG data is a multivariate time series data which contains noise and artifacts. In this paper we present methods for EEG pattern classification which jointly employ principal component anal...
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ژورنال
عنوان ژورنال: Cybernetics and Information Technologies
سال: 2018
ISSN: 1314-4081
DOI: 10.2478/cait-2018-0007