@inproceedings{a8a6ff439c97430a95a7064c16dc4738,
title = "On-bed monitoring for range of motion exercises with a pressure sensitive bedsheet",
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.",
keywords = "local linear embedding, manifold learning, physical rehabilitation, pressure images, range of motion",
author = "Liu, {Jason J.} and Huang, {Ming Chun} and Wenyao Xu and Nabil Alshurafa and Majid Sarrafzadeh",
year = "2013",
doi = "10.1109/BSN.2013.6575474",
language = "English (US)",
isbn = "9781479903306",
series = "2013 IEEE International Conference on Body Sensor Networks, BSN 2013",
booktitle = "2013 IEEE International Conference on Body Sensor Networks, BSN 2013",
note = "2013 IEEE International Conference on Body Sensor Networks, BSN 2013 ; Conference date: 06-05-2013 Through 09-05-2013",
}