Motor imagery task classification using transformation based features
tThis paper proposes a feature extraction method named as LP QR, based on the decomposition of theLPC filter impulse response matrix of the signal of interest. This feature extraction method is inspired byLP SVD and is tested in the context of motor imagery electroencephalogram. The extracted featur...
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主要な著者: | Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Akmeliawati, Rini |
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フォーマット: | 論文 |
言語: | English English English |
出版事項: |
2017
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主題: | |
オンライン・アクセス: | http://irep.iium.edu.my/53662/1/2017_aida_biomedical.pdf http://irep.iium.edu.my/53662/7/53662_Motor%20imagery%20task%20classification%20using%20transformation%20based%20features_SCOPUS.pdf http://irep.iium.edu.my/53662/8/53662_Motor%20imagery%20task%20classification%20using%20transformation%20based%20features_WoS.pdf http://irep.iium.edu.my/53662/ http://doi.org/10.1016/j.bspc.2016.12.006 |
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