Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 11; pp. 3381 - 3399 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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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=189590717&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189590717 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2025 vid: 63 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189590717 186358787 10.1007/s11517-025-03403-0 189590717 ppf: 3381 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity. aug: au: G., Venugopal N., Sidharth Karthick, P. A. affil: https://ror.org/04yn30r61 Department of Instrumentation and Control Engineering, N.S.S. College of Engineering (Affiliated to APJ Abdul Kalam Technological University, Kerala, India), Palakkad, Kerala, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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