Journal of Physiotherapy & Physical Rehabilitation

Lee S

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