Literature DB >> 23366055

Assessment of a multigrasp myoelectric control approach for use by transhumeral amputees.

Nasser A Alshammary1, Skyler A Dalley, Michael Goldfarb.   

Abstract

The authors have previously developed a multigrasp myoelectric controller, and assessed the ability of healthy subjects to control the configuration of a multigrasp hand prosthesis using musculature on the anterior and posterior aspects of the forearm, as would be representative of controller use by a transradial amputee population. In this paper, the authors conduct a similar study, this time to assess the capability of a transhumeral amputee to control a multigrasp hand from residual musculature on the upper arm. Specifically, experiments are conducted on five healthy subjects, comparing their ability to obtain one of seven hand postures in a virtual prosthesis from EMG measurement of the respective biceps and triceps musculature. The ability to control the virtual hand prosthesis is compared with their ability to do so with their intact hand, as measured by a dataglove. Results indicate an average transition time using the EMG controller on the biceps and triceps of 1.86 seconds, relative to 0.82 seconds with the dataglove.

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Year:  2012        PMID: 23366055      PMCID: PMC4476379          DOI: 10.1109/EMBC.2012.6346094

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  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 2.  Performance characteristics of anthropomorphic prosthetic hands.

Authors:  Joseph T Belter; Aaron M Dollar
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

3.  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

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

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

5.  A method for the control of multigrasp myoelectric prosthetic hands.

Authors:  Skyler Ashton Dalley; Huseyin Atakan Varol; Michael Goldfarb
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-12-12       Impact factor: 3.802

6.  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

7.  Estimating the prevalence of limb loss in the United States: 2005 to 2050.

Authors:  Kathryn Ziegler-Graham; Ellen J MacKenzie; Patti L Ephraim; Thomas G Travison; Ron Brookmeyer
Journal:  Arch Phys Med Rehabil       Date:  2008-03       Impact factor: 3.966

8.  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.  Prosthesis use in persons with lower- and upper-limb amputation.

Authors:  Katherine A Raichle; Marisol A Hanley; Ivan Molton; Nancy J Kadel; Kellye Campbell; Emily Phelps; Dawn Ehde; Douglas G Smith
Journal:  J Rehabil Res Dev       Date:  2008
  9 in total
  1 in total

1.  Regenerative peripheral nerve interfaces for real-time, proportional control of a Neuroprosthetic hand.

Authors:  Christopher M Frost; Daniel C Ursu; Shane M Flattery; Andrej Nedic; Cheryl A Hassett; Jana D Moon; Patrick J Buchanan; R Brent Gillespie; Theodore A Kung; Stephen W P Kemp; Paul S Cederna; Melanie G Urbanchek
Journal:  J Neuroeng Rehabil       Date:  2018-11-20       Impact factor: 4.262

  1 in total

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