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
フォーマット: 論文
言語:English
English
English
出版事項: 2017
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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