Motor imagery task classification using transformation based features

• Main Authors: Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Akmeliawati, Rini
• Format: Article
• Language: English; English; English
• Published: 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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

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...