Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks.

Journal: Journal of physiotherapy & physical rehabilitation
Published Date: Oct 11, 2016

Abstract

OBJECTIVE: The objective of the proposed research is to develop a methodology for modeling and evaluation of human motions, which will potentially benefit patients undertaking a physical rehabilitation therapy (e.g., following a stroke or due to other medical conditions). The ultimate aim is to allow patients to perform home-based rehabilitation exercises using a sensory system for capturing the motions, where an algorithm will retrieve the trajectories of a patient's exercises, will perform data analysis by comparing the performed motions to a reference model of prescribed motions, and will send the analysis results to the patient's physician with recommendations for improvement.

Authors

  • A Vakanski
    Industrial Technology, University of Idaho, Idaho Falls, United States.
  • J M Ferguson
    Center for Modeling Complex Interactions, University of Idaho, Moscow, United States.
  • S Lee
    Department of Statistical Science, University of Idaho, Moscow, United States.

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