The Influence of EMG Biofeedback on Robustness of Myoelectric Prosthesis Control
Translated title
Indflydelsen af EMG Biofeedback på Robustheden af Myoelektrisk Protesestyring
Authors
Mughal, Roshaan Abrar ; Gøthler, Benjamin Rindom
Term
4. term
Publication year
2020
Submitted on
2020-06-01
Pages
7
Abstract
De fleste kommercielt tilgængelige myoelektriske proteser (styret af musklernes elektriske aktivitet) giver kun brugerne sporadisk feedback. Pludselige signalændringer betyder, at brugerne har begrænset information at reagere på, når de skal sikre korrekt bevægelse og passende muskelkraft. Denne begrænsning peger på, at systemernes robusthed kan være svag. Med EMG-biofeedback (information om selve muskelstyringssignalet) kan man give forudsigende feedback, så brugeren løbende ved, når signalet ændrer sig. Dette studie præsenterer et system, der undersøger robustheden af protesekontrol ved at sammenligne EMG-biofeedback med kraft-feedback (feedback relateret til den påførte kraft). Systemet blev testet med fem raske forsøgspersoner i en virtuel, rutinemæssig gribeopgave ved brug af et Myo-armbånd til at opfange muskelaktivitet. Opgaven blev udført med to forskellige feedback-konfigurationer. Effektmålene var succesrate, gennemførselstid og tendens til tilpasning over tid. Resultaterne viste, at EMG-biofeedback generelt gav hurtigere gennemførselstid end kraft-feedback, mens succesraterne var ens for de to konfigurationer. Der var ingen tydelig tendens til tilpasning i denne undersøgelse. Samlet set gav EMG-biofeedback deltagerne information, som førte til hurtigere greb i den virtuelle opgave, men uden mærkbar forbedring i succesraten sammenlignet med kraft-feedback. Undersøgelsen giver indsigt i robustheden af myoelektrisk protesekontrol og betydningen af somatosensorisk feedback for brugernes tilpasning.
Most commercially available myoelectric prostheses (controlled by the electrical activity of muscles) give users only incidental feedback. Sudden changes in the control signal leave users with limited information to correct movement and force, which suggests poor robustness. EMG biofeedback (information about the muscle control signal itself) can offer predictive feedback, so users are aware when the signal changes in real time. This study presents a system to examine the robustness of prosthesis control by comparing EMG biofeedback to force feedback (feedback related to the applied force). The system was tested with five able-bodied participants in a virtual, routine grasping task using a Myo armband to capture muscle activity. The task was performed under two feedback configurations. Outcome measures were success rate, completion time, and trend of adaptability over time. Results showed that EMG biofeedback generally led to faster completion times than force feedback, while success rates were similar for both configurations. No clear adaptability trend was observed in this study. Overall, EMG biofeedback gave participants information that led to faster grasping in the virtual task but did not yield a noticeable improvement in success rate compared with force feedback. This work provides insight into the robustness of myoelectric prosthesis control and the relevance of somatosensory feedback for users’ adaptability.
[This abstract was generated with the help of AI]
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