DocumentCode
590358
Title
A remote sensor-based 6-minute functional walking ability test
Author
Schulte, J. ; Elliott, D. ; Duc, N.A. ; Mckinley, Sharon ; Hoang, Doan B. ; Nanda, Priyadarsi
Author_Institution
Sch. of Phys. & Adv. Mater., Univ. of Technol., Sydney, NSW, Australia
fYear
2012
fDate
28-31 Oct. 2012
Firstpage
1
Lastpage
4
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.
Keywords
accelerometers; gait analysis; patient monitoring; patient rehabilitation; remote sensing; body sensors; functional ability; functional walking ability test; health conditions; integrated assistive healthcare system; intelligent algorithm; motion detection; on-body accelerometer; patient clinical condition; physical performance; rehabilitation tests; remote sensor; time 6 min; Acceleration; Accelerometers; Educational institutions; Intelligent sensors; Legged locomotion; Monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2012 IEEE
Conference_Location
Taipei
ISSN
1930-0395
Print_ISBN
978-1-4577-1766-6
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2012.6411040
Filename
6411040
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