New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle
New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle
Introduction: The Mechanical Muscle Activity with Real-time Kinematics project aims to develop a device incorporating wearable sensors for arm rehabilitation following stroke. These will record kinematic activity using inertial measurement units and mechanical muscle activity. The gold standard for measuring muscle activity is electromyography; however, mechanomyography offers an appropriate alterative for our home-based rehabilitation device. We have patent filed a new laboratory-tested device that combines an inertial measurement unit with mechanomyography. We report on the validity and reliability of the mechanomyography against electromyography sensors.
Methods: In 18 healthy adults (27-82 years), mechanomyography and electromyography recordings were taken from the forearm flexor and extensor muscles during voluntary contractions. Isometric contractions were performed at different percentages of maximal force to examine the validity of mechanomyography. Root-mean-square of mechanomyography and electromyography was measured during 1 s epocs of isometric flexion and extension. Dynamic contractions were recorded during a tracking task on two days, one week apart, to examine reliability of muscle onset timing.
Results: Reliability of mechanomyography onset was high (intraclass correlation coefficient = 0.78) and was comparable with electromyography (intraclass correlation coefficient = 0.79). The correlation between force and mechanomyography was high (R2 = 0.94).
Conclusion: The mechanomyography device records valid and reliable signals of mechanical muscle activity on different days.
Rehabilitation, electromyography, mechanomyography, rehabilitation devices, sensor applications, sensor design, sensors, upper-limb
Meagher, Claire
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Franco, Enrico
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Turk, Ruth
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Wilson, Samuel
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Steadman, Nathan
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Mcnicholas, Lauren
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Vaidyanathan, Ravi
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Burridge, Jane
0110e9ea-0884-4982-a003-cb6307f38f64
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
22 April 2020
Meagher, Claire
759ba8d7-8271-49b3-8682-ef57f5662e57
Franco, Enrico
ccdf4d8d-8f88-44f0-88b6-dadf891f056a
Turk, Ruth
9bb21965-6f9f-4c9c-8505-94df8e168f52
Wilson, Samuel
b5b35cff-7d54-4df2-bfef-9cb9dd1114b8
Steadman, Nathan
01a38bbf-e88c-4f95-ae02-3bc5d4adfe0f
Mcnicholas, Lauren
90976898-5c8f-442e-9b1d-54c9e3422b90
Vaidyanathan, Ravi
7758a2b8-34be-499d-a4f0-41aa4cae70d2
Burridge, Jane
0110e9ea-0884-4982-a003-cb6307f38f64
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
Meagher, Claire, Franco, Enrico, Turk, Ruth, Wilson, Samuel, Steadman, Nathan, Mcnicholas, Lauren, Vaidyanathan, Ravi, Burridge, Jane and Stokes, Maria
(2020)
New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle.
Journal of Rehabilitation and Assistive Technologies Engineering (RATE), 7.
(doi:10.1177/2055668320916116).
Abstract
Introduction: The Mechanical Muscle Activity with Real-time Kinematics project aims to develop a device incorporating wearable sensors for arm rehabilitation following stroke. These will record kinematic activity using inertial measurement units and mechanical muscle activity. The gold standard for measuring muscle activity is electromyography; however, mechanomyography offers an appropriate alterative for our home-based rehabilitation device. We have patent filed a new laboratory-tested device that combines an inertial measurement unit with mechanomyography. We report on the validity and reliability of the mechanomyography against electromyography sensors.
Methods: In 18 healthy adults (27-82 years), mechanomyography and electromyography recordings were taken from the forearm flexor and extensor muscles during voluntary contractions. Isometric contractions were performed at different percentages of maximal force to examine the validity of mechanomyography. Root-mean-square of mechanomyography and electromyography was measured during 1 s epocs of isometric flexion and extension. Dynamic contractions were recorded during a tracking task on two days, one week apart, to examine reliability of muscle onset timing.
Results: Reliability of mechanomyography onset was high (intraclass correlation coefficient = 0.78) and was comparable with electromyography (intraclass correlation coefficient = 0.79). The correlation between force and mechanomyography was high (R2 = 0.94).
Conclusion: The mechanomyography device records valid and reliable signals of mechanical muscle activity on different days.
Text
2055668320916116
- Version of Record
Text
New advances in mechanomyography sensor technology and signal processing validity and intrarater reliability of recordings from muscle
More information
Accepted/In Press date: 17 February 2020
e-pub ahead of print date: 9 April 2020
Published date: 22 April 2020
Additional Information:
© The Author(s) 2020.
Keywords:
Rehabilitation, electromyography, mechanomyography, rehabilitation devices, sensor applications, sensor design, sensors, upper-limb
Identifiers
Local EPrints ID: 440803
URI: http://eprints.soton.ac.uk/id/eprint/440803
ISSN: 2055-6683
PURE UUID: 23efc42c-d5ba-4017-82bd-2872f7db1e9f
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Date deposited: 19 May 2020 16:30
Last modified: 17 Mar 2024 02:59
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Contributors
Author:
Claire Meagher
Author:
Enrico Franco
Author:
Samuel Wilson
Author:
Nathan Steadman
Author:
Ravi Vaidyanathan
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