DocumentCode :
1466595
Title :
A Split-Crank Bicycle Ergometer Uses Servomotors to Provide Programmable Pedal Forces for Studies in Human Biomechanics
Author :
Van der Loos, H. F Machiel ; Worthen-Chaudhari, Lise ; Schwandt, Douglas ; Bevly, David M. ; Kautz, Steven A.
Author_Institution :
Dept. of Mech. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
18
Issue :
4
fYear :
2010
Firstpage :
445
Lastpage :
452
Abstract :
This paper presents a novel computer-controlled bicycle ergometer, the TiltCycle, for use in human biomechanics studies of locomotion. The TiltCycle has a tilting (reclining) seat and backboard, a split pedal crankshaft to isolate the left and right loads to the feet of the pedaler, and two belt-driven, computer-controlled motors to provide assistance or resistance loads independently to each crank. Sensors measure the kinematics and force production of the legs to calculate work performed, and the system allows for goniometric and electromyography signals to be recorded. The technical description presented includes the mechanical design, low-level software and control algorithms, system identification and validation test results.
Keywords :
bicycles; biomechanics; biomedical equipment; electromyography; force measurement; force sensors; goniometers; kinematics; medical control systems; motion measurement; servomotors; shafts; sports equipment; TiltCycle; assistance loads; backboard; belt-driven computer-controlled motors; computer-controlled bicycle ergometer; control algorithms; electromyography signal; force production; goniometric signal; human biomechanics; kinematics measurement; legs; locomotion; low-level software; mechanical design; pedaler; programmable pedal forces; reclining seat; resistance loads; sensors; servomotors; split pedal crankshaft; split-crank bicycle ergometer; system identification; tilting seat; work perform calculation; Cycling ergometer; human biomechanics; neuromuscular systems; pedaling; stroke rehabilitation; Algorithms; Biomechanics; Data Interpretation, Statistical; Electronics; Engineering; Equipment Design; Exercise Test; Humans; Locomotion; Mechanics; Reproducibility of Results; Robotics; Safety; Software; User-Computer Interface;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2010.2047586
Filename :
5444985
Link To Document :
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