[2017-Vol.14-Issue 4]A Case Study of a Force-myography Controlled Bionic Hand Mitigating Limb Position Effect
Time: 2017-11-09 15:51  Click:34

Journal of Bionic Engineering

Volume 14, Issue 4, October 2017, Pages 692-705

Diego Ferigo1, Lukas-Karim Merhi1, Brittany Pousett2, Zhen Gang Xiao1, Carlo Menon1

1. MENRVA Research Group, School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
2. Barber Prosthetics Clinic, Vancouver, BC, Canada
 

Abstract  Force Myography (FMG), which monitors pressure or radial deformation of a limb, has recently been proposed as a po-tential alternative for naturally controlling bionic robotic prostheses. This paper presents an exploratory case study aimed at evaluating how FMG behaves when a person with amputation uses a hand prosthetic prototype. One volunteer (transradial amputation) participated in this study, which investigated two experimental cases: static and dynamic. The static case considered forearm muscle contractions in a fixed elbow and shoulder positions whereas the dynamic case included movements of the elbow and shoulder. When considering eleven different hand grips, static data showed an accuracy over 99%, and dynamic data over 86% (within-trial analysis). The across-trial analysis, that takes into account multiple trials in the same data collection set, showed a meaningful accuracy respectively of 81% and 75% only for the reduced six grips setup. While further research is needed to increase these accuracies, the obtained results provided initial evidence that this technology could represent an in-teresting alternative that is worth exploring for controlling prosthesis.

Key words: Force Myography (FMG)      Human Machine Interface (HMI)      transradial amputee      limb position effect      regression      bionic hand

Full text is available at http://www.sciencedirect.com/science/article/pii/S1672652916604353

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