DocumentCode :
2911096
Title :
Simulation of a patient driven strategy for FES supported sit-to-stand movement
Author :
Afzal, Taimoor ; Khan, Laiq ; Tokhi, M.O.
Author_Institution :
Dept. of Electr. Eng., Inst. of Inf. Technol., Abbottabad, Pakistan
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
5
Abstract :
A comprehensive research has been undertaken to simulate a model based on the functional electrical stimulation (FES), the only method to stimulate the paralyzed muscles of paraplegics. The simulation of sit-to-stand (STS) movement using a patient driven technique has been presented in this paper. The strategy is to use the voluntary body effort of the patient to perform the STS movement. The main tasks are mathematical modeling of a three link biomechanical model, development of a humanoid model, development of an inverse model to estimate the joint torques and designing a controller for the controlled movement of the system. The humanoid model has been designed in Visual Nastran software. Neural Network has been used to develop the inverse model while a PID (Proportional-Integral-derivative) controller has been used in Matlab/Simulink to simulate the movement.
Keywords :
biomechanics; handicapped aids; mathematical analysis; medical computing; FES supported sit-to-stand movement; Neural Network; Visual Nastran software; biomechanical model; comprehensive research; controller design; functional electrical stimulation; humanoid model; humanoid model development; joint torques; paralyzed muscles; patient driven strategy; proportional integral derivative; sit-to-stand movement; Biological system modeling; Inverse problems; Joints; Knee; Mathematical model; Muscles; Torque; FES; component; neural networks; paraplegics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Emerging Technologies (ICIET), 2010 International Conference on
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-8001-2
Type :
conf
DOI :
10.1109/ICIET.2010.5625680
Filename :
5625680
Link To Document :
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