User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use

被引:15
|
作者
Simon, Ann M. [1 ,2 ]
Turner, Kristi L. [1 ]
Miller, Laura A. [1 ,2 ]
Potter, Benjamin K. [3 ]
Beachler, Mark D. [4 ]
Dumanian, Gregory A. [5 ]
Hargrove, Levi J. [1 ,6 ,7 ]
Kuiken, Todd A. [1 ,2 ]
机构
[1] Shirley Ryan AbilityLab, Ctr Bion Med, Chicago, IL 60611 USA
[2] Northwestern Univ, Dept Phys Med & Rehabil, Chicago, IL 60611 USA
[3] Uniformed Serv Univ Hlth Sci, Walter Reed Natl Mil Med Ctr, Dept Surg, Bethesda, MD 20889 USA
[4] Walter Reed Natl Mil Med Ctr, Dept Rehabil, Orthot & Prosthet Serv, Bethesda, MD 20889 USA
[5] Northwestern Feinberg Sch Med, Div Plast Surg, Chicago, IL 60611 USA
[6] Northwestern Univ, Dept Phys Med & Rehabil, Chicago, IL 60611 USA
[7] Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA
基金
美国国家卫生研究院;
关键词
Pattern recognition; Prosthetics; Control systems; Wrist; Switches; Electromyography; Testing; Below-elbow amputation; home use; myoelectric control; prosthesis function; machine learning; MYOELECTRIC CONTROL; CAPACITY; STRATEGY; DESIGN;
D O I
10.1109/TNSRE.2022.3221558
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
With the increasing availability of more advanced prostheses individuals with a transradial amputation can now be fit with single to multi-degree of freedom hands. Reliable and accurate control of these multi-grip hands still remains challenging. This is the first multi-user study to investigate at-home control and use of a multi-grip hand prosthesis under pattern recognition and direct control. Individuals with a transradial amputation were fitted with and trained to use an OSSUR i-Limb Ultra Revolution with Coapt COMPLETE CONTROL system. They participated in two 8-week home trials using the hand under myoelectric direct and pattern recognition control in a randomized order. While at home, participants demonstrated broader usage of grips in pattern recognition compared to direct control. After the home trial, they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control; other outcome measures showed no differences between control styles. Additionally, this study provided a unique opportunity to evaluate EMG signals during home use. Offline analysis of calibration data showed that users were 81.5% [7.1] accurate across a range of three to five grips. Although EMG signal noise was identified during some calibrations, overall EMG quality was sufficient to provide users with control performance at or better than direct control.
引用
收藏
页码:271 / 281
页数:11
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