On-bed monitoring for range of motion exercises with a pressure sensitive bedsheet

Jason J. Liu, Ming Chun Huang, Wenyao Xu, Nabil Alshurafa, Majid Sarrafzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

This paper presents the design of an on-bed rehabilitation exercise monitoring system that utilizes a high density sensor bedsheet to evaluate active range of motion exercises. We propose and develop a novel framework to analyze the progression of pressure image sequences using manifold learning. The image sequences are reduced to a low dimensional subspace that can be measured against expected prior data for each of the rehabilitation exercises. We also present a metric to compare manifold similarities. Our experimental results on five on-bed exercises show that this system can accurately track compliance of patients to prescribed treatment programs. It allows physical therapists to evaluate how well patients adhere to the rehabilitation exercises. The system is convenient to setup, unobtrusive, and can be used for reliable, long term monitoring.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Body Sensor Networks, BSN 2013
DOIs
StatePublished - Oct 1 2013
Event2013 IEEE International Conference on Body Sensor Networks, BSN 2013 - Cambridge, MA, United States
Duration: May 6 2013May 9 2013

Publication series

Name2013 IEEE International Conference on Body Sensor Networks, BSN 2013

Other

Other2013 IEEE International Conference on Body Sensor Networks, BSN 2013
CountryUnited States
CityCambridge, MA
Period5/6/135/9/13

Keywords

  • local linear embedding
  • manifold learning
  • physical rehabilitation
  • pressure images
  • range of motion

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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