Mu and beta rhythm modulations in motor imagery related post-stroke EEG: a study under BCI framework for post-stroke rehabilitation
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 E...
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Veröffentlicht in: | BMC neuroscience 2010-07, Vol.11 (S1), p.P127-P127, Article P127 |
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Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 1471-2202 1471-2202 |
DOI: | 10.1186/1471-2202-11-S1-P127 |