Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques
This paper describes a discrete wavelet transform-based feature extraction scheme for the classification of EEG signals. In this scheme, the discrete wavelet transform is applied on EEG signals and the relative wavelet energy is calculated in terms of detailed coefficients and the approximation coef...
| Main Authors: | Amin, H.U., Malik, A.S., Ahmad, R.F., Badruddin, N., Kamel, N., Hussain, M., Chooi, W.-T. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.25993 / |
| Published: |
Kluwer Academic Publishers
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930642013&doi=10.1007%2fs13246-015-0333-x&partnerID=40&md5=e0b9477182d677ba9c5d03e8d2a558c3 http://eprints.utp.edu.my/25993/ |
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