DocumentCode
1379314
Title
Frequency analysis of kinematics of racing wheelchair propulsion
Author
DiGiovine, Carmen P. ; Cooper, Rory A. ; DiGiovine, Michalle M. ; Boninger, Michael L. ; Robertson, Rick N.
Author_Institution
Dept. of Rehabilitation Sci. & Technol., Pittsburgh Univ., PA, USA
Volume
8
Issue
3
fYear
2000
fDate
9/1/2000 12:00:00 AM
Firstpage
385
Lastpage
393
Abstract
The purpose of this study was to describe the frequency content of racing wheelchair propulsion motion data. The selection of the filter corner frequency in previous kinematic analyses of manual wheelchair propulsion was commonly based on gait literature. An estimate of the frequency separating the signal and the noise was determined to make recommendations for low-pass digital filters. The global (noncoordinate specific) cutoff frequency was 6 Hz. The directional cutoff frequencies were 5.1, 3.9, and 5.6 Hz, in the anterior-posterior, superior-inferior and medial-lateral directions, respectively. Recommendations for the corner frequencies of low-pass Butterworth digital filters based on the cutoff frequency are higher than the corner frequencies used in previous studies of manual wheelchair propulsion kinematic data. This study provides a foundation for the data reduction of manual wheelchair propulsion kinematic data that is independent of gait literature
Keywords
Butterworth filters; biomechanics; frequency-domain analysis; handicapped aids; kinematics; low-pass filters; medical signal processing; sport; 3.9 to 6 Hz; Butterworth digital filters; anterior-posterior; directional cutoff frequencies; gait literature; kinematics frequency analysis; low-pass digital filters; medial-lateral direction; noncoordinate specific cutoff frequency; racing wheelchair propulsion; superior-inferior; Cameras; Cutoff frequency; Ergonomics; Filters; Kinematics; Medical services; Motion analysis; Noise reduction; Propulsion; Wheelchairs;
fLanguage
English
Journal_Title
Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1063-6528
Type
jour
DOI
10.1109/86.867880
Filename
867880
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