DocumentCode :
3115333
Title :
Identification of Tasks Performed by Stroke Patients Using a Mobility Assistive Device
Author :
Hester, Todd ; Sherrill, Delsey M. ; Hamel, Mathieu ; Perreault, Karine ; Boissy, Patrick ; Bonato, Paolo
Author_Institution :
Dept. of Phys. Medicine & Rehabilitation, Spaulding Rehabilitation Hosp., Boston, MA
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
1501
Lastpage :
1504
Abstract :
Many stroke patients are prescribed canes or other mobility assistive devices. Once taken home, these mobility assistive devices are often abandoned or misused. A means for assessing the use of the cane in the home and community settings is required to assist clinicians in the prescription of these devices. In this study, we propose the use of wearable sensors to identify tasks performed by stroke patients with a mobility assistive device. Subjects performed ten tasks with a three-axis accelerometer attached to their ankle and a neural network was trained to identify the task being performed. Results from 15 stroke patients indicated that these motor tasks can be reliably identified with a median sensitivity of 90 % at a median specificity of 95%. These results indicate that it is possible to use a single module with a three-axis accelerometer attached to the ankle to reliably identify motor tasks associated with the use of a cane. Therefore, we envision that the methodology presented in this paper could be used to evaluate the use of a cane in the context of the task being performed
Keywords :
accelerometers; biomedical transducers; gait analysis; handicapped aids; intelligent sensors; learning (artificial intelligence); medical computing; neural nets; neurophysiology; pattern classification; canes; mobility assistive device; motor task identification; neural network training; pattern classifier; stroke patients; three-axis accelerometer; wearable sensors; Accelerometers; Cities and towns; Hospitals; Injuries; Legged locomotion; Neural networks; Performance evaluation; Testing; USA Councils; Wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259437
Filename :
4462048
Link To Document :
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