NDLI: A remote sensor-based 6-minute functional walking ability test

Content Provider	IEEE Xplore Digital Library
Author	Schulte, J. Elliott, D. Duc, N.A. McKinley, S. Hoang, D.B. Nanda, P.
Copyright Year	2012
Description	Author affiliation: School of Physics and Advanced Materials, University of Technology, Sydney, Sydney, Australia (Schulte, J.) \|\| School of Computing and Communications, iNEXT, University of Technology, Sydney, Sydney, Australia (Duc, N.A.; Nanda, P.) \|\| iNEXT, University of Technology, Sydney, Sydney, Australia (Elliott, D.) \|\| Faculty of Nursing, Midwifery and Health, University of Technology, Sydney, Sydney, Australia (McKinley, S.; Hoang, D.B.)
Abstract	This paper proposes and implements an integrated remote sensor-based 6-minute walk test (6MWT) for monitoring a patient's clinical condition and correlate this data to the walking activity that the patient is performing to assess his/her functional ability and physical performance. The 6MWT is known to be one of the most effective rehabilitation tests for a clinician to assess individuals with a variety of clinical conditions including survivors of a critical illness. Our method deploys body sensors for measuring health conditions and an on-body accelerometer for detecting motion. An intelligent algorithm was developed to detect a walk step, count the number of steps, and dynamically derive the step distance based on an individual's real-time walking parameters. The path and the derived walk distance are then related to their vital signs to assess their functional ability under various walk conditions. Our remote 6MWT is being considered for a telehealth rehabilitation procedure in an integrated assistive healthcare system.
Starting Page	1
Ending Page	4
File Size	801160
Page Count	4
File Format	PDF
ISBN	9781457717666
ISSN	19300395
e-ISBN	9781457717673
e-ISBN	9781457717659
DOI	10.1109/ICSENS.2012.6411040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-28
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Acceleration Educational institutions Accelerometers Monitoring Intelligent sensors
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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