Abstract

A BCI uses EEG from motor cortex and finds MI related modulation of sensorimotor rhythms, as it is known that left or right hand MI by a healthy subject results in a desynchronization (ERD) of mu (8-13Hz) in contralateral EEG along with synchronization (ERS) of beta rhythm (18-24Hz) in ipsilateral EEG [1]. Off-line analysis using widely-used power spectral density (PSD) features and a linear discriminant analysis (LDA) classifier resulted in poor MI classification accuracy (CA) for impaired limb. [...]it is concluded that the BSP based BCI can be effective for stroke rehabilitation.

Details

Title
Mu and beta rhythm modulations in motor imagery related post-stroke EEG: a study under BCI framework for post-stroke rehabilitation
Author
Shahjahan Shahid; Sinha, Rakesh Kumar; Prasad, Girijesh
Pages
1-2
Section
Poster Presentation
Publication year
2010
Publication date
2010
Publisher
BioMed Central
e-ISSN
14712202
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2575844663
Copyright
© 2010. This work is licensed under https://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.