Intention analysis based on brain signal for participation induction during rehabilitation

Bum Joo Kim, Min Ho Lee, Seong Whan Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Functional electrical stimulation (FES) is one of the most common rehabilitation methods in purpose of recovery of paralyzed muscle by the means of sequential electrical stimulation. There are reports that in FES based therapy, like all rehabilitation, active participation of patient ensures better recovery result compared to simple stimulation itself. In this paper, we investigate the neurophysiological effect of participation intention of patient in rehabilitation therapy. To observe the difference in brain signal between intentional and involuntary movement during FES, electroencephalography (EEG) and near-infrared spectroscopy (NIRS) was simultaneously measured in motor cortex area. The result revealed the presence of intention affects activation of the brain significantly, and classification result showed higher than 80% accuracy performance. The result of this study implies the possibility for quantification in motivation for rehabilitation, which has not been considered as an absolute measurable value in rehabilitation area.

    Original languageEnglish
    Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479974948
    DOIs
    Publication statusPublished - 2015 Mar 30
    Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
    Duration: 2015 Jan 122015 Jan 14

    Other

    Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
    Country/TerritoryKorea, Republic of
    CityGangwon-Do
    Period15/1/1215/1/14

    Keywords

    • Brain-Computer Interface (BCI)
    • Functional Electrical Stimulation (FES)
    • Movement intention
    • Rehabilitation

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Cognitive Neuroscience
    • Sensory Systems

    Fingerprint

    Dive into the research topics of 'Intention analysis based on brain signal for participation induction during rehabilitation'. Together they form a unique fingerprint.

    Cite this