Literature DB >> 22275677

Multigrasp myoelectric control for a transradial prosthesis.

Skyler A Dalley1, Huseyin Atakan Varol, Michael Goldfarb.   

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%).
© 2011 IEEE

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Year:  2011        PMID: 22275677      PMCID: PMC3402220          DOI: 10.1109/ICORR.2011.5975479

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  9 in total

1.  Development of a lightweight and adaptable multiple-axis hand prosthesis.

Authors:  C M Light; P H Chappell
Journal:  Med Eng Phys       Date:  2000-12       Impact factor: 2.242

2.  Intelligent multifunction myoelectric control of hand prostheses.

Authors:  C M Light; P H Chappell; B Hudgins; K Engelhart
Journal:  J Med Eng Technol       Date:  2002 Jul-Aug

Review 3.  Control of multifunctional prosthetic hands by processing the electromyographic signal.

Authors:  M Zecca; S Micera; M C Carrozza; P Dario
Journal:  Crit Rev Biomed Eng       Date:  2002

4.  A multigrasp hand prosthesis for transradial amputees.

Authors:  Skyler A Dalley; Tuomas E Wiste; Huseyin Atakan Varol; Michael Goldfarb
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

5.  Refined myoelectric control in below-elbow amputees using artificial neural networks and a data glove.

Authors:  Fredrik C P Sebelius; Birgitta N Rosén; Göran N Lundborg
Journal:  J Hand Surg Am       Date:  2005-07       Impact factor: 2.230

6.  A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment.

Authors:  L Hargrove; Y Losier; B Lock; K Englehart; B Hudgins
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

7.  Prehensile control of a hand prosthesis by a microcontroller.

Authors:  P H Chappell; P J Kyberd
Journal:  J Biomed Eng       Date:  1991-09

8.  A clinical experience with a hierarchically controlled myoelectric hand prosthesis with vibro-tactile feedback.

Authors:  P J Kyberd; N Mustapha; F Carnegie; P H Chappell
Journal:  Prosthet Orthot Int       Date:  1993-04       Impact factor: 1.895

9.  Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses.

Authors:  Guanglin Li; Aimee E Schultz; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-01-12       Impact factor: 3.802

  9 in total

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