ANALYSIS OF MFCC FEATURES FOR EEG SIGNAL CLASSIFICATION
In this paper, an experimental evaluation of Mel-Frequency Cepstral Coefficients (MFCCs) for use in Electroencephalogram (EEG) signal classification is presented. The MFCC features are tested using CHB-MIT Scalp EEG Database. The objective is to classify the given EEG signal into normal or abnormal...
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| Format: | Article |
| Language: | English |
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XLESCIENCE
2016-12-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
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| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/15 |