Comparative analysis of features extracted from EEG spatial, spectral and temporal domains for binary and multiclass motor imagery classification

Author:

Lee Seung-Bo,Kim Hyun-Ji,Kim Hakseung,Jeong Ji-Hoon,Lee Seong-Whan,Kim Dong-JooORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference26 articles.

1. Global cortical activity predicts shape of hand during grasping;Agashe;Front. Neurosci.,2015

2. Detection of fast and slow hand movements from motor imagery EEG signals;Bhattacharyya,2014

3. Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose;Bhattacharyya;Med. Biol. Eng. Comput.,2014

4. Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls;Brouwer;Front. Neurosci.,2015

5. A tutorial on support vector machines for pattern recognition;Burges;Data Min. Knowl. Discov.,1998

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