A Case Study of a Force-myography Controlled Bionic Hand Mitigating Limb Position Effect  

作　　者：Diego Ferigo Lukas-Karim Merhi Brittany Pousett Zhen Gang Xiao Carlo Menon 

机构地区：[1]MENRVA Research Group, School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada [2]Barber Prostheties Clinic, Vancouver, BC, Canada

出　　处：《Journal of Bionic Engineering》2017年第4期692-705,共14页仿生工程学报（英文版）

摘　　要：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.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.

关 键 词：Force Myography （FMG） Human Machine Interface （HMI） transradial amputee limb position effect regression bionic hand 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] S763.42[自动化与计算机技术—控制科学与工程]