Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 1; pp. 167 - 183 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2024
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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=174545768&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174545768 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2024 vid: 62 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 174545768 172323794 10.1007/s11517-023-02921-z 174545768 ppf: 167 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals. aug: au: Iqbal, Hassam Zheng, Jinchuan Chai, Rifai Chandrasekaran, Sivachandran affil: https://ror.org/031rekg67 Department of Engineering Technologies, Swinburne University of Technology, John Street, 3122, Melbourne, Victoria, Australia sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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