USING PATTERN RECOGNITION TO ENHANCE PROSTHETIC CONTROL IN PATIENTS WITH PROXIMAL AMPUTATIONS WITHOUT TARGETED MUSCLE REINNERVATION: A CASE SERIES

Authors

  • Anthony Berland
  • Phillip Stevens

Abstract

The relatively recent commercialization of pattern recognition has occurred simultaneously with the proliferation of Targeted Muscle Reinnervation (TMR). Reports on applications of pattern recognition have generally been its application on proximal amputation post-TMR procedures or on transradial amputations in the absence of TMR. This case series highlights two successful applications of pattern recognition to patients with high level amputations who had not undergone TMR. In both cases, the users experience enhanced prosthetic control with reduce frustration and cognitive burden of prosthesis use. Pattern recognition appears to be a viable control strategy in high level upper limb amputation without TMR procedures.

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Published

2020-07-23

How to Cite

[1]
A. Berland and P. Stevens, “USING PATTERN RECOGNITION TO ENHANCE PROSTHETIC CONTROL IN PATIENTS WITH PROXIMAL AMPUTATIONS WITHOUT TARGETED MUSCLE REINNERVATION: A CASE SERIES”, MEC Symposium, Jul. 2020.

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Section

Clinical Practice

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