Sierotowicz, Mare und Castellini, Claudio und Anam, Khairul (2025) Force Myography Shows Higher Correlation to Force Output Compared to Average Rectified Value Electromyography Features. In: Converging Clinical and Engineering Research on Neurorehabilitation V, ICNR 2024, 31, Seiten 627-631. Springer. 6th International Conference on NeuroRehabilitation (ICNR2024), 2024-11-05 - 2024-11-08, La Granja, Spain. doi: 10.1007/978-3-031-77588-8_122. ISBN 978-3-031-77587-1. ISSN 2195-3562.
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Offizielle URL: https://link.springer.com/chapter/10.1007/978-3-031-77588-8_122
Kurzfassung
Compared to surface electromyography, force myography, or FMG, setups can be very cost-effective and robust, and they offer the advantage of not requiring skin contact. FMG as a modality is inherently correlated with muscular force, and should by extension be more directly correlated with measurable net force output in healthy subjects as well. In this study, we set out to prove this hypothesis by comparing the performance of a regression algorithm predicting isometric finger pressure based on FMG, as opposed to electromyography. Additionally, we demonstrated the effectiveness of a low-cost system, which concurrently with the robustness of FMG sensors, would make them an attractive solution to be used in resource-constrained settings, thus fostering a more widespread adoption of electronic prostheses in low- and middle income countries.
| elib-URL des Eintrags: | https://elib.dlr.de/223612/ | ||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
| Titel: | Force Myography Shows Higher Correlation to Force Output Compared to Average Rectified Value Electromyography Features | ||||||||||||||||
| Autoren: |
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| Datum: | 27 Februar 2025 | ||||||||||||||||
| Erschienen in: | Converging Clinical and Engineering Research on Neurorehabilitation V, ICNR 2024 | ||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||
| Open Access: | Nein | ||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||
| Band: | 31 | ||||||||||||||||
| DOI: | 10.1007/978-3-031-77588-8_122 | ||||||||||||||||
| Seitenbereich: | Seiten 627-631 | ||||||||||||||||
| Verlag: | Springer | ||||||||||||||||
| Name der Reihe: | Biosystems & Biorobotics | ||||||||||||||||
| ISSN: | 2195-3562 | ||||||||||||||||
| ISBN: | 978-3-031-77587-1 | ||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||
| Stichwörter: | Myography | ||||||||||||||||
| Veranstaltungstitel: | 6th International Conference on NeuroRehabilitation (ICNR2024) | ||||||||||||||||
| Veranstaltungsort: | La Granja, Spain | ||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
| Veranstaltungsbeginn: | 5 November 2024 | ||||||||||||||||
| Veranstaltungsende: | 8 November 2024 | ||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||
| HGF - Programmthema: | Robotik | ||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
| DLR - Forschungsgebiet: | R RO - Robotik | ||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Medizinische Assistenzsysteme [RO] | ||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||
| Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) | ||||||||||||||||
| Hinterlegt von: | Strobl, Dr.-Ing. Klaus H. | ||||||||||||||||
| Hinterlegt am: | 24 Mär 2026 14:27 | ||||||||||||||||
| Letzte Änderung: | 24 Mär 2026 14:27 |
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