Design and assessment of myoelectric games for prosthesis training of upper limb amputees

In this paper, we present the design and evaluation of our system, which provides an engaging game-based pre-prosthesis training environment for upper limb transradial amputees. We believe that patients who train using such a training tool will demonstrate significantly higher improvement in functio...

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Main Authors: MEERALAKSHMI RADHAKRISHNAN, SMAILAGIC, Asim, FRENCH, Brian, SIEWIOREK, Daniel P., BALAN, Rajesh Krishna
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Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4422
https://ink.library.smu.edu.sg/context/sis_research/article/5425/viewcontent/Myoelectric_Games_Prothesis_av.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-54252020-04-23T05:27:34Z Design and assessment of myoelectric games for prosthesis training of upper limb amputees MEERALAKSHMI RADHAKRISHNAN, SMAILAGIC, Asim FRENCH, Brian SIEWIOREK, Daniel P. BALAN, Rajesh Krishna In this paper, we present the design and evaluation of our system, which provides an engaging game-based pre-prosthesis training environment for upper limb transradial amputees. We believe that patients who train using such a training tool will demonstrate significantly higher improvement in functional performance tests using a myoelectric prosthesis than when conventional pre-prosthesis training protocols are used. We re-designed two simple games to be playable using three muscle contractions which are appropriate to pre-prosthesis exercises and are detected by an EMG-based arm sleeve. Through user studies conducted with 16 non-amputee subjects, we show that the proposed games are enjoyable, fun to play, sustains motivation to continue playing and also helps in improving muscular control. Using an HMM trained on EMG data collected from the game play sessions of each user, we are able to detect if the subject felt fatigued, while continuously contracting the muscles to play the game, in 93% of the cases and with a latency of only ±15 seconds. We are also able to understand the subject's quality of muscle isolation during the game play. 2019-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4422 info:doi/10.1109/PERCOMW.2019.8730824 https://ink.library.smu.edu.sg/context/sis_research/article/5425/viewcontent/Myoelectric_Games_Prothesis_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial limbs Muscle Ubiquitous computing Design and evaluations Functional performance Muscle contractions Myoelectric prosthesis Simple games Training tools Upper limbs User study Myoelectrically controlled prosthetics Health Information Technology Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial limbs
Muscle
Ubiquitous computing
Design and evaluations
Functional performance
Muscle contractions
Myoelectric prosthesis
Simple games
Training tools
Upper limbs
User study
Myoelectrically controlled prosthetics
Health Information Technology
Software Engineering
spellingShingle Artificial limbs
Muscle
Ubiquitous computing
Design and evaluations
Functional performance
Muscle contractions
Myoelectric prosthesis
Simple games
Training tools
Upper limbs
User study
Myoelectrically controlled prosthetics
Health Information Technology
Software Engineering
MEERALAKSHMI RADHAKRISHNAN,
SMAILAGIC, Asim
FRENCH, Brian
SIEWIOREK, Daniel P.
BALAN, Rajesh Krishna
Design and assessment of myoelectric games for prosthesis training of upper limb amputees
description In this paper, we present the design and evaluation of our system, which provides an engaging game-based pre-prosthesis training environment for upper limb transradial amputees. We believe that patients who train using such a training tool will demonstrate significantly higher improvement in functional performance tests using a myoelectric prosthesis than when conventional pre-prosthesis training protocols are used. We re-designed two simple games to be playable using three muscle contractions which are appropriate to pre-prosthesis exercises and are detected by an EMG-based arm sleeve. Through user studies conducted with 16 non-amputee subjects, we show that the proposed games are enjoyable, fun to play, sustains motivation to continue playing and also helps in improving muscular control. Using an HMM trained on EMG data collected from the game play sessions of each user, we are able to detect if the subject felt fatigued, while continuously contracting the muscles to play the game, in 93% of the cases and with a latency of only ±15 seconds. We are also able to understand the subject's quality of muscle isolation during the game play.
format text
author MEERALAKSHMI RADHAKRISHNAN,
SMAILAGIC, Asim
FRENCH, Brian
SIEWIOREK, Daniel P.
BALAN, Rajesh Krishna
author_facet MEERALAKSHMI RADHAKRISHNAN,
SMAILAGIC, Asim
FRENCH, Brian
SIEWIOREK, Daniel P.
BALAN, Rajesh Krishna
author_sort MEERALAKSHMI RADHAKRISHNAN,
title Design and assessment of myoelectric games for prosthesis training of upper limb amputees
title_short Design and assessment of myoelectric games for prosthesis training of upper limb amputees
title_full Design and assessment of myoelectric games for prosthesis training of upper limb amputees
title_fullStr Design and assessment of myoelectric games for prosthesis training of upper limb amputees
title_full_unstemmed Design and assessment of myoelectric games for prosthesis training of upper limb amputees
title_sort design and assessment of myoelectric games for prosthesis training of upper limb amputees
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/sis_research/4422
https://ink.library.smu.edu.sg/context/sis_research/article/5425/viewcontent/Myoelectric_Games_Prothesis_av.pdf
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