Pattern recognition and direct control home use of a multi-articulating hand prosthesis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although more multi-articulating hand prostheses have become commercially available, replacing a missing hand remains challenging from a control perspective. This study investigated myoelectric direct control and pattern recognition home use of a multi-articulating hand prosthesis for individuals with a transradial amputation. Four participants were fitted with an i-limb Ultra Revolution hand and a Coapt COMPLETE CONTROL system. An occupational therapist provided training for each control style and how to use the various grips. The number of grips available to each individual was determined by clinician and user feedback to optimize both the number of grips available and the reliability of grip selection. Home trial data corresponding to individual usage were recorded. No significant differences were found between direct and pattern recognition control home trials in regards to trial length (p=0.96), days powered on (p=0.21), or total time powered on (p=0.91). There was a higher average number of configured grips for direct control at 4.8 [0.5] compared to 3.8 [0.5] for pattern recognition control, but this difference did not reach significance (p=0.092). Across all hand close movements, users spent a majority of time (\gt80%) in one grip when using direct control. For pattern recognition usage was spread across more grips (\gt45% time in one grip, 25% time in a 2nd grip, and 20% time in a 3rd grip). Pattern recognition control may provide users with a more intuitive way to select and use the various grips available to them.

Original languageEnglish (US)
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
PublisherIEEE Computer Society
Pages386-391
Number of pages6
ISBN (Electronic)9781728127552
DOIs
StatePublished - Jun 1 2019
Externally publishedYes
Event16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019 - Toronto, Canada
Duration: Jun 24 2019Jun 28 2019

Publication series

NameIEEE International Conference on Rehabilitation Robotics
Volume2019-June
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
CountryCanada
CityToronto
Period6/24/196/28/19

Fingerprint

Hand Strength
Prostheses and Implants
Pattern recognition
Hand
Prosthetics
Amputation
Feedback
Extremities

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Rehabilitation
  • Electrical and Electronic Engineering

Cite this

Simon, A., Turner, K. L., Miller, L. A., Hargrove, L. J., & Kuiken, T. A. (2019). Pattern recognition and direct control home use of a multi-articulating hand prosthesis. In 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019 (pp. 386-391). [8779539] (IEEE International Conference on Rehabilitation Robotics; Vol. 2019-June). IEEE Computer Society. https://doi.org/10.1109/ICORR.2019.8779539
Simon, Annie ; Turner, Kristi L. ; Miller, Laura A ; Hargrove, Levi J ; Kuiken, Todd A. / Pattern recognition and direct control home use of a multi-articulating hand prosthesis. 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, 2019. pp. 386-391 (IEEE International Conference on Rehabilitation Robotics).
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abstract = "Although more multi-articulating hand prostheses have become commercially available, replacing a missing hand remains challenging from a control perspective. This study investigated myoelectric direct control and pattern recognition home use of a multi-articulating hand prosthesis for individuals with a transradial amputation. Four participants were fitted with an i-limb Ultra Revolution hand and a Coapt COMPLETE CONTROL system. An occupational therapist provided training for each control style and how to use the various grips. The number of grips available to each individual was determined by clinician and user feedback to optimize both the number of grips available and the reliability of grip selection. Home trial data corresponding to individual usage were recorded. No significant differences were found between direct and pattern recognition control home trials in regards to trial length (p=0.96), days powered on (p=0.21), or total time powered on (p=0.91). There was a higher average number of configured grips for direct control at 4.8 [0.5] compared to 3.8 [0.5] for pattern recognition control, but this difference did not reach significance (p=0.092). Across all hand close movements, users spent a majority of time (\gt80{\%}) in one grip when using direct control. For pattern recognition usage was spread across more grips (\gt45{\%} time in one grip, 25{\%} time in a 2nd grip, and 20{\%} time in a 3rd grip). Pattern recognition control may provide users with a more intuitive way to select and use the various grips available to them.",
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Simon, A, Turner, KL, Miller, LA, Hargrove, LJ & Kuiken, TA 2019, Pattern recognition and direct control home use of a multi-articulating hand prosthesis. in 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019., 8779539, IEEE International Conference on Rehabilitation Robotics, vol. 2019-June, IEEE Computer Society, pp. 386-391, 16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019, Toronto, Canada, 6/24/19. https://doi.org/10.1109/ICORR.2019.8779539

Pattern recognition and direct control home use of a multi-articulating hand prosthesis. / Simon, Annie; Turner, Kristi L.; Miller, Laura A; Hargrove, Levi J; Kuiken, Todd A.

2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society, 2019. p. 386-391 8779539 (IEEE International Conference on Rehabilitation Robotics; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Simon A, Turner KL, Miller LA, Hargrove LJ, Kuiken TA. Pattern recognition and direct control home use of a multi-articulating hand prosthesis. In 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019. IEEE Computer Society. 2019. p. 386-391. 8779539. (IEEE International Conference on Rehabilitation Robotics). https://doi.org/10.1109/ICORR.2019.8779539