Title :
Characterizing walking activity in people with stroke
Author :
Fulk, George D. ; Lopez-Meyer, Paulo ; Sazonov, Edward S.
Author_Institution :
Phys. Therapy Dept., Clarkson Univ., Potsdam, NY, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Stroke is the leading cause of disability in the U.S. Many people with stroke have limited walking ability and are inactive. In this paper we describe a novel shoe based sensor, SmartShoe, and a signal processing technique to identify walking activity. The technique was validated with 6 people with walking impairment due to stroke. The results suggest that the SmartShoe is able to accurately identify walking activity. This device could be used to monitor walking activity as well as provide behavioral enhancing feedback to increase activity levels and walking ability in people with stroke for extended periods of time in the real world.
Keywords :
footwear; parton model; passive optical networks; patient monitoring; SmartShoe; disability; shoe based sensor; signal processing technique; stroke; walking activity; walking impairment; Accelerometers; Extremities; Footwear; Legged locomotion; Monitoring; Signal processing; Training; Actigraphy; Equipment Design; Equipment Failure Analysis; Female; Foot; Gait; Gait Disorders, Neurologic; Humans; Male; Middle Aged; Monitoring, Ambulatory; Reproducibility of Results; Sensitivity and Specificity; Shoes; Stroke; Telemetry; Transducers, Pressure; Walking;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091289