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Motor imagery BCI for upper limb stroke rehabilitation : an evaluation of the EEG recordings using coherence analysis

conference contribution
posted on 2017-12-06, 00:00 authored by S Tung, C Guan, K Ang, K Phua, C Wang, L Zhao, Wei-Peng Teo, E Chew
Brain-computer interface (BCI) technology has the potential as a post-stroke rehabilitation tool, and the efficacy of the technology is most often demonstrated through output peripherals such as robots, orthosis and computers. In this study, the EEG signals recorded during the course of upper limb stroke rehabilitaion using motor imagery BCI were analyzed to better understand the effect of BCI therapy for post-stroke rehabilitation.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

261

End Page

264

Number of Pages

4

Start Date

2013-01-01

ISSN

1557-170X

ISBN-13

9781457702167

Location

Osaka, Japan

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Institute for Infocomm Research (Singapore); National University Hospital (Singapore); Not affiliated to a Research Institute;

Era Eligible

  • Yes

Name of Conference

IEEE Engineering in Medicine and Biology Society. Conference

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