Dynamically Mapping Socket Loading Conditions During Real Time Operation of an Upper Limb Prosthesis

Jonathan Fu, Harrison Nguyen, Dong Woo Kim, Christopher Shallal, Sue Min Cho, Luke Osborn, Nitish V Thakor

Research output: Contribution to journalArticle

Abstract

A continuing problem faced by amputees is that extended use of a prosthesis leads to discomfort along the residual limb. In this work, we use a novel pressure sensor array and an inertial measuring unit to monitor the changes in the pressure distribution within an upper limb socket in response to its position and the real time performance of a grasping task. These experiments illustrate that the operation of a prosthetic hand produces distinct features in the time derivative and spatial component of the sensor outputs, which correspond to the orientation and task-dependent changes in loading conditions within the socket. The significance of this study is that it highlights the use of a combined pressure sensor array and inertial measuring unit as a way to characterize the loading conditions within a prosthesis based on both temporal and spatial information during movement. This method of real time pressure sensing in prosthetic sockets will be useful for adaptive socket technology aimed towards decreasing the discomfort caused by long-term use of a prosthesis.

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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