Development of Hamstrings Muscle Model for Paraplegic with Functional Electrical Stimulation

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 musc...

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Bibliographic Details
Main Authors: Jailani, R., Tokhi, M. O.
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Computational modeling
Data models
Functional electrical stimulation
Mathematical model
muscle model
Muscles
Neuromuscular stimulation
paraplegic
spinal cord injury
Testing
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Summary: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.
ISSN:2166-0662
2166-0670
DOI:10.1109/ISMS.2012.59