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Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury

1
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
2
Clinical Exercise and Rehabilitation Unit, Discipline of Exercise and Sports Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, NSW 2141, Australia
3
Department of Rehabilitation Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editor: Panicos Kyriacou
Sensors 2017, 17(7), 1627; https://doi.org/10.3390/s17071627
Received: 5 January 2017 / Revised: 5 April 2017 / Accepted: 12 April 2017 / Published: 14 July 2017
(This article belongs to the Section Biosensors)
A mechanomyography muscle contraction (MC) sensor, affixed to the skin surface, was used to quantify muscle tension during repetitive functional electrical stimulation (FES)-evoked isometric rectus femoris contractions to fatigue in individuals with spinal cord injury (SCI). Nine persons with motor complete SCI were seated on a commercial muscle dynamometer that quantified peak torque and average torque outputs, while measurements from the MC sensor were simultaneously recorded. MC-sensor-predicted measures of dynamometer torques, including the signal peak (SP) and signal average (SA), were highly associated with isometric knee extension peak torque (SP: r = 0.91, p < 0.0001), and average torque (SA: r = 0.89, p < 0.0001), respectively. Bland-Altman (BA) analyses with Lin’s concordance (ρC) revealed good association between MC-sensor-predicted peak muscle torques (SP; ρC = 0.91) and average muscle torques (SA; ρC = 0.89) with the equivalent dynamometer measures, over a range of FES current amplitudes. The relationship of dynamometer torques and predicted MC torques during repetitive FES-evoked muscle contraction to fatigue were moderately associated (SP: r = 0.80, p < 0.0001; SA: r = 0.77; p < 0.0001), with BA associations between the two devices fair-moderate (SP; ρC = 0.70: SA; ρC = 0.30). These findings demonstrated that a skin-surface muscle mechanomyography sensor was an accurate proxy for electrically-evoked muscle contraction torques when directly measured during isometric dynamometry in individuals with SCI. The novel application of the MC sensor during FES-evoked muscle contractions suggested its possible application for real-world tasks (e.g., prolonged sit-to-stand, stepping,) where muscle forces during fatiguing activities cannot be directly measured. View Full-Text
Keywords: MC sensor; spinal cord injury (SCI); muscle fatigue; functional electrical stimulation (FES) MC sensor; spinal cord injury (SCI); muscle fatigue; functional electrical stimulation (FES)
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MDPI and ACS Style

Mohamad, N.Z.; Hamzaid, N.A.; Davis, G.M.; Abdul Wahab, A.K.; Hasnan, N. Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury. Sensors 2017, 17, 1627. https://doi.org/10.3390/s17071627

AMA Style

Mohamad NZ, Hamzaid NA, Davis GM, Abdul Wahab AK, Hasnan N. Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury. Sensors. 2017; 17(7):1627. https://doi.org/10.3390/s17071627

Chicago/Turabian Style

Mohamad, Nor Z., Nur A. Hamzaid, Glen M. Davis, Ahmad K. Abdul Wahab, and Nazirah Hasnan. 2017. "Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury" Sensors 17, no. 7: 1627. https://doi.org/10.3390/s17071627

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