Title :
Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation
Author :
Jailani, R. ; Tokhi, M.O.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol., Shah Alam, Malaysia
Abstract :
This paper presents the development of paraplegic hamstrings muscle model with Adaptive Neuro-Fuzzy Inference System (ANFIS). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on muscle output torque are conducted. The data that is obtained is used to develop the paraplegic hamstrings muscle model. 588 training data and 220 testing data set are used in the development of hamstrings muscle model. The ANFIS hamstrings muscle model is found to be the most accurate muscle model representing paraplegic hamstrings muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.
Keywords :
biomechanics; fuzzy reasoning; neuromuscular stimulation; ANFIS hamstrings muscle model; Adaptive NeuroFuzzy Inference System; functional electrical stimulation; muscle output torque; paraplegic; pulse duration; pulse width; Adaptation models; Computational modeling; Data models; Mathematical model; Muscles; Neuromuscular stimulation; Testing; Functional electrical stimulation; muscle model; paraplegic; spinal cord injury;
Conference_Titel :
Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-0886-1
DOI :
10.1109/ISMS.2012.59