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Optimization of Neuromuscular Electrical Stimulation to Reduce Muscle Fatigue during Isometric Contractions

Doll, Brian (2015) Optimization of Neuromuscular Electrical Stimulation to Reduce Muscle Fatigue during Isometric Contractions. Master's Thesis, University of Pittsburgh. (Unpublished)

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The objective of this Thesis is to show that a neuromusclar model can be used to calculate an optimized train that will impede the onset of muscle fatigue while tracking a pre-defined force reference. Implementation of a predictive force and fatigue model of a human skeletal muscle when stimulated with neuromuscular electrical stimulation (NMES) is presented herein. In this implementation, the nonlinear model is used to control muscle force to a reference. Muscle control is optimized in such a way that muscle fatigue is minimized, demonstrating potential for improvements in applications where NMES use is limited by muscle fatigue. Model parameters were identified for the able-bodied subjects and testing was performed to identify the response of the muscle to a constant frequency stimulation. An optimization algorithm was then used to compute a pulse train that will maintain an isometric contraction at a constant force for a period of time without unnecessarily fatiguing the muscle. Following each train, the fatigue of the muscle was evaluated to determine if muscle fatigue was reduced. The study has concluded that muscle fatigue was significantly reduced when an optimized train is used when compared to a constant frequency train.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Doll, Brianbdd27@pitt.eduBDD27
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSharma, Nitinnis62@pitt.eduNIS62
Committee CoChairMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberEl-Jaroudi, Amroamro@pitt.eduAMRO
Committee MemberSejdić, Ervinesejdic@pitt.eduESEJDIC
Date: 8 June 2015
Date Type: Publication
Defense Date: 3 April 2015
Approval Date: 8 June 2015
Submission Date: 6 April 2015
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 51
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Functional Neuromuscular Electrical Stimulation Thesis Isometric Muscle Fatigue Hill Huxley
Related URLs:
Date Deposited: 08 Jun 2015 17:31
Last Modified: 15 Nov 2016 14:27


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