Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity.
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| Title: | Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity. |
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| Authors: | G., Venugopal1, venugopalg@gmail.com, N., Sidharth2, sidharth.narayanan@gmail.com, Karthick, P. A.3, pakarthick@nitt.edu |
| Source: | Medical & Biological Engineering & Computing; Nov2025, Vol. 63 Issue 11, p3381-3398, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 189590717 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22G%2E%2C+Venugopal%22">G., Venugopal</searchLink><relatesTo>1</relatesTo>, <i>venugopalg@gmail.com</i><br /><searchLink fieldCode="AU" term="%22N%2E%2C+Sidharth%22">N., Sidharth</searchLink><relatesTo>2</relatesTo>, <i>sidharth.narayanan@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Karthick%2C+P%2E+A%2E%22">Karthick, P. A.</searchLink><relatesTo>3</relatesTo>, <i>pakarthick@nitt.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Nov2025, Vol. 63 Issue 11, p3381-3398, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189590717 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-025-03403-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 3381 Titles: – TitleFull: Model-based analysis of sEMG signals using Stockwell transform features under varied muscle fiber composition and conduction velocity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: G., Venugopal – PersonEntity: Name: NameFull: N., Sidharth – PersonEntity: Name: NameFull: Karthick, P. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01400118 Numbering: – Type: volume Value: 63 – Type: issue Value: 11 Titles: – TitleFull: Medical & Biological Engineering & Computing Type: main |
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