A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification

A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification

In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain-computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as linear prediction singular value decomposition (LP-SVD), for feature extra...

Full description

Bibliographic Details
Main Authors: Hamza Baali, Aida Khorshidtalab, Mostefa Mesbah, Momoh J. E. Salami
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Brain-computer interface
channel selection
feature extraction
linear prediction
orthogonal transform
Online Access:https://ieeexplore.ieee.org/document/7299634/

Similar Items

Similar Items