Feature extraction and classification technique for chronic alcoholism
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the effect of alcoholism on the motor cortex region. The EEG signals for chronic alcoholic subjects were acquired from motor cortex region and Hilbert Huang Transform was applied for Feature Extraction of the EEG signals. The EEG signals were divided into five sub frequency band. It was observed that the extracted feature contained large data dimension, thus it was re duced using Linear Discriminate Analysis. Support Vector Machine has been used for classification of alcoholics in the present study. Ma…
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Produktdetails
- ISBN: 978-3-659-86925-9
- EAN: 9783659869259
- Produktnummer: 37404573
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 104 S.
- Masse: H22.0 cm x B15.0 cm x D0.6 cm 173 g
- Abbildungen: Paperback
- Gewicht: 173
Über den Autor
Dr. Surendra Kumar, Assistant Professor Department of Bio-Engineering. Birla institute of technology, Mesra Ranchi,INDIA. His area of interest Bio signal processing and Bio medical instrumentation. Pillutla soma sunder has post graduated from Birla institute of Technology, Mesra Ranchi ,INDIA. His area of interest is Bio medical instrumentat
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