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

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

5211

Lastpage

5214

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091289

Filename

6091289