Multigrasp myoelectric control for a transradial prosthesis

Skyler A. Dalley; Huseyin Atakan Varol; Michael Goldfarb

doi:10.1109/ICORR.2011.5975479

Multigrasp myoelectric control for a transradial prosthesis

Skyler A. Dalley, Huseyin Atakan Varol, Michael Goldfarb

Department of Robotics and Mechatronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents the design and preliminary experimental verification of a multigrasp myoelectric controller. The controller enables the direct and proportional control of a multigrasp transradial prosthesis through a set of nine postures using two surface EMG electrodes. Five healthy subjects utilized the multigrasp controller to manipulate a virtual prosthesis to experimentally quantify the performance of the controller in terms of real time performance metrics. For comparison, the performance of the native hand was also characterized using a dataglove. The average overall transition times for the multigrasp myoelectric controller and the native hand with the dataglove were found to be 1.49 and 0.81 seconds, respectively. The transition rates for both were found to be the same (99.2%).

Original language	English
Title of host publication	2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011 - Rehab Week Zurich 2011
DOIs	https://doi.org/10.1109/ICORR.2011.5975479
Publication status	Published - 2011
Event	Rehab Week Zurich 2011 - 2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011 - Zurich, Switzerland Duration: Jun 27 2011 → Jul 1 2011

Publication series

Name	IEEE International Conference on Rehabilitation Robotics
ISSN (Print)	1945-7898
ISSN (Electronic)	1945-7901

Other

Other	Rehab Week Zurich 2011 - 2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011
Country	Switzerland
City	Zurich
Period	6/27/11 → 7/1/11

ASJC Scopus subject areas

Control and Systems Engineering
Rehabilitation
Electrical and Electronic Engineering

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Multigrasp myoelectric control for a transradial prosthesis. / Dalley, Skyler A.; Varol, Huseyin Atakan; Goldfarb, Michael.

2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011 - Rehab Week Zurich 2011. 2011. 5975479 (IEEE International Conference on Rehabilitation Robotics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dalley, SA, Varol, HA & Goldfarb, M 2011, Multigrasp myoelectric control for a transradial prosthesis. in 2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011 - Rehab Week Zurich 2011., 5975479, IEEE International Conference on Rehabilitation Robotics, Rehab Week Zurich 2011 - 2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011, Zurich, Switzerland, 6/27/11. https://doi.org/10.1109/ICORR.2011.5975479

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title = "Multigrasp myoelectric control for a transradial prosthesis",

abstract = "This paper presents the design and preliminary experimental verification of a multigrasp myoelectric controller. The controller enables the direct and proportional control of a multigrasp transradial prosthesis through a set of nine postures using two surface EMG electrodes. Five healthy subjects utilized the multigrasp controller to manipulate a virtual prosthesis to experimentally quantify the performance of the controller in terms of real time performance metrics. For comparison, the performance of the native hand was also characterized using a dataglove. The average overall transition times for the multigrasp myoelectric controller and the native hand with the dataglove were found to be 1.49 and 0.81 seconds, respectively. The transition rates for both were found to be the same (99.2%).",

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series = "IEEE International Conference on Rehabilitation Robotics",

booktitle = "2011 IEEE International Conference on Rehabilitation Robotics, ICORR 2011 - Rehab Week Zurich 2011",

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AU - Varol, Huseyin Atakan

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N2 - This paper presents the design and preliminary experimental verification of a multigrasp myoelectric controller. The controller enables the direct and proportional control of a multigrasp transradial prosthesis through a set of nine postures using two surface EMG electrodes. Five healthy subjects utilized the multigrasp controller to manipulate a virtual prosthesis to experimentally quantify the performance of the controller in terms of real time performance metrics. For comparison, the performance of the native hand was also characterized using a dataglove. The average overall transition times for the multigrasp myoelectric controller and the native hand with the dataglove were found to be 1.49 and 0.81 seconds, respectively. The transition rates for both were found to be the same (99.2%).

AB - This paper presents the design and preliminary experimental verification of a multigrasp myoelectric controller. The controller enables the direct and proportional control of a multigrasp transradial prosthesis through a set of nine postures using two surface EMG electrodes. Five healthy subjects utilized the multigrasp controller to manipulate a virtual prosthesis to experimentally quantify the performance of the controller in terms of real time performance metrics. For comparison, the performance of the native hand was also characterized using a dataglove. The average overall transition times for the multigrasp myoelectric controller and the native hand with the dataglove were found to be 1.49 and 0.81 seconds, respectively. The transition rates for both were found to be the same (99.2%).

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Multigrasp myoelectric control for a transradial prosthesis

Abstract

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