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

Schulte, J; Duc, NA; Hoang, DB; Elliott, D; McKinley, S; Nanda, P

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

Schulte, J

Duc, NA Hoang, DB

Elliott, D

McKinley, S Nanda, P

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Publication Type:: Conference Proceeding
Citation:: Proceedings of IEEE Sensors, 2012
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Schulte, J https://orcid.org/0000-0001-8845-8099	en_US
dc.contributor.author	Duc, NA	en_US
dc.contributor.author	Hoang, DB https://orcid.org/0000-0003-1798-4926	en_US
dc.contributor.author	Elliott, D https://orcid.org/0000-0002-6081-5442	en_US
dc.contributor.author	McKinley, S	en_US
dc.contributor.author	Nanda, P https://orcid.org/0000-0002-5748-155X	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	Proceedings of IEEE Sensors, 2012	en_US
dc.identifier.isbn	9781457717659	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23097
dc.description.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. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings of IEEE Sensors	en_US
dc.relation.isbasedon	10.1109/ICSENS.2012.6411040	en_US
dc.title	A remote sensor-based 6-minute functional walking ability test	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Taipei, Taiwan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Nursing
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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. © 2012 IEEE.

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http://hdl.handle.net/10453/23097