Development of a Wearable Motor-Imagery-Based Brain-Computer Interface.
A motor-imagery-based brain-computer interface (BCI) is a translator that converts the motor intention of the brain into a control command to control external machines without muscles. Numerous motor-imagery-based BCIs have been successfully proposed in previous studies. However, several electroence...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 3; pp. 1 - 9 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925255&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925255 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Mar2016 vid: 40 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925255 115925255 115925255 10.1007/s10916-015-0429-6 115925255 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Development of a Wearable Motor-Imagery-Based Brain-Computer Interface. aug: au: Lin, Bor-Shing Pan, Jeng-Shyang Chu, Tso-Yao Lin, Bor-Shyh affil: Department of Computer Science and Information Engineering, National Taipei University, Taipei 237 Taiwan sug: subj: Product Development Wearable Sensors Brain-Computer Interfaces Electroencephalography Monitoring, Physiologic Methods Human Systems Design Software Funding Source ab: A motor-imagery-based brain-computer interface (BCI) is a translator that converts the motor intention of the brain into a control command to control external machines without muscles. Numerous motor-imagery-based BCIs have been successfully proposed in previous studies. However, several electroencephalogram (EEG) channels are typically required for providing sufficient information to maintain a specific accuracy and bit rate, and the bulk volume of these EEG machines is also inconvenient. A wearable motor imagery-based BCI system was proposed and implemented in this study. A wearable mechanical design with novel active comb-shaped dry electrodes was developed to measure EEG signals without conductive gels at hair sites, which is easy and convenient for users wearing the EEG machine. In addition, a wireless EEG acquisition module was also designed to measure EEG signals, which provides a user with more freedom of motion. The proposed wearable motor-imagery-based BCI system was validated using an electrical specifications test and a hand motor imagery experiment. Experimental results showed that the proposed wearable motor-imagery-based BCI system provides favorable signal quality for measuring EEG signals and detecting motor imagery. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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