Feasibility of controlling prosthetic hand using sonomyography signal in real time: Preliminary study

Jun Shi, Qian Chang, Yongping Zheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

The morphological changes of muscle can be accurately detected by sonography, a process we have termed sonomyography (SMG). This article investigates the feasibility of using muscle thickness deformation SMG as a new signal source to control a prosthetic hand in real time. Thickness deformation SMG of the extensor muscle was measured by a block-matching algorithm during wrist extension-flexion; the amplitude of the deformation was used to control the prosthetic hand. We compared various fast-search algorithms to select the best one for real-time prosthetic control. The two-dimensional logarithmic search (TDL) algorithm, with and without streaming single-instruction multiple-data extensions, showed excellent execution efficiency, with an overall mean correlation coefficient of about 0.99, a mean standard root-mean-square error <0.75, and a mean relative root-mean-square error <8.0% referenced to the cross-correlation algorithm baseline. The mean frame rates were greater than the ultrasound sampling rate (12 Hz), indicating that TDL could be implemented in real-time control. These results demonstrate that only one muscle position is needed to control a prosthetic hand, allowing for proprioception of muscle tension, and that the SMG provides good control of the prosthetic hand, allowing it to proportionally open and close with a fast-search algorithm.
Original languageEnglish
Pages (from-to)87-98
Number of pages12
JournalJournal of Rehabilitation Research and Development
Volume47
Issue number2
DOIs
Publication statusPublished - 29 Jul 2010

Keywords

  • Block-matching algorithm
  • Electromyography
  • Prosthetic control
  • Prosthetic hand
  • Real time
  • Skeletal muscle
  • Sonomyography
  • Streaming SIMD extensions
  • Two-dimensional logarithmic search
  • Ultrasound

ASJC Scopus subject areas

  • Rehabilitation

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