GET THE APP

..

Journal of Physiotherapy & Physical Rehabilitation

ISSN: 2573-0312

Open Access

Lee S


United States

Publications
  • Research Article
    Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks
    Author(s): Vakanski A, Ferguson JM and Lee SVakanski A, Ferguson JM and Lee S

    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. Methods: The modeling approach employs an artificial neural network, consisting of layers of recurrent neuron units and layers of neuron units for estimating a mixture density function over the .. Read More»
    DOI: 10.4172/2573-0312.1000118

    Abstract PDF

Relevant Topics

arrow_upward arrow_upward