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
Link To Document :
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