Use of surface electromyography to estimate end-point force in redundant systems: comparison between linear approaches
Estimation of the force exerted by muscles from their electromyographic (EMG) activity may be useful to control robotic devices. Approximating end-point forces as a linear combination of the activities of multiple muscles acting on a limb may lead to an inaccurate estimation because of the dependenc...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 February 2023
|
| In: |
Bioengineering
Year: 2023, Jahrgang: 10, Heft: 2, Pages: 1-24 |
| ISSN: | 2306-5354 |
| DOI: | 10.3390/bioengineering10020234 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/bioengineering10020234 Verlag, kostenfrei, Volltext: https://www.mdpi.com/2306-5354/10/2/234 
|
| Verfasserangaben: | Daniele Borzelli, Sergio Gurgone, Paolo De Pasquale, Nicola Lotti, Andrea d’Avella and Laura Gastaldi |
| Zusammenfassung: | Estimation of the force exerted by muscles from their electromyographic (EMG) activity may be useful to control robotic devices. Approximating end-point forces as a linear combination of the activities of multiple muscles acting on a limb may lead to an inaccurate estimation because of the dependency between the EMG signals, i.e., multi-collinearity. This study compared the EMG-to-force mapping estimation performed with standard multiple linear regression and with three other algorithms designed to reduce different sources of the detrimental effects of multi-collinearity ... |
|---|---|
| Beschreibung: | Gesehen am 05.12.2023 |
| Beschreibung: | Online Resource |
| ISSN: | 2306-5354 |
| DOI: | 10.3390/bioengineering10020234 |