A master thesis from Aalborg University
Development of a wireless crank moment measurement-system for a handbike: Initial results of propulsion kinetics & Biomechanical analysis of hand cycling propulsion movement: A musculoskeletal modelling approach
Author(s)
Term
4. semester
Education
Publication year
2016
Submitted on
2016-06-02
Pages
52 pages
Abstract
Abstract Objective: Develop a wireless crank moment measurement system for a handbike. Method: A tee-rosette strain gage was mounted on the crankshaft and connected to a wireless transmitter. An optical wheel encoder provided crank position and speed data in order to determine applied crank force with respect to position and calculation of power. Results: Linearity (R2=1) was demonstrated between applied force and voltage output for 1,2,3,4 and 5 kg load for the calibration procedure. The initial propulsion measurement presented data for applied crank moment, tangential force, angular velocity and power with respect to crank position. Discussion: This system can provide kinetic data in terms of tangential external force, provided by the athlete and as input for biomechanical modelling. This system has the potential to obtain field measurement on the road, due to the wireless system. Abstract Objective: Collect experimental data as input for a musculoskeletal model and Implement the data in a musculoskeletal model in order to analyse muscle activity, muscle force and joint reaction forces and moments, during recumbent hand cycling propulsion. Method: The kinetic measurement, obtained in this study, was done by using a customized crank moment measurement system. Two Microsoft Kinect one cameras obtained the kinematics of the hand cycling propulsion movement. The kinetics and kinematics founded the input data for a development of a musculoskeletal model, during recumbent hand cycling propulsion. Results: Estimation of muscle activity time and muscle force for the prime mover-muscles in the crank cycle were conducted. Simultaneously, the model estimated joint reaction forces and moments. Discussion: The model can be applied in studies related to performance optimization and injury prevention in relation to hand cycling.
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