Imperial College London

ProfessorRaviVaidyanathan

Faculty of EngineeringDepartment of Mechanical Engineering

Professor in Biomechatronics
 
 
 
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Contact

 

+44 (0)20 7594 7020r.vaidyanathan CV

 
 
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Location

 

717City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Meagher:2020:10.1177/2055668320916116,
author = {Meagher, C and Franco, E and Turk, R and Wilson, S and Steadman, N and McNicholas, L and Vaidyanathan, R and Burridge, J and Stokes, M},
doi = {10.1177/2055668320916116},
journal = {Journal of Rehabilitation and Assistive Technologies Engineering},
title = {New advances in mechanomyography sensor technology and signal processing: validity and intrarater reliability of recordings from muscle},
url = {http://dx.doi.org/10.1177/2055668320916116},
volume = {7},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - IntroductionThe 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.MethodsIn 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.ResultsReliability 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).ConclusionThe mechanomyography device records valid and reliable signals of mechanical muscle activity on different days.
AU - Meagher,C
AU - Franco,E
AU - Turk,R
AU - Wilson,S
AU - Steadman,N
AU - McNicholas,L
AU - Vaidyanathan,R
AU - Burridge,J
AU - Stokes,M
DO - 10.1177/2055668320916116
PY - 2020///
SN - 2055-6683
TI - New advances in mechanomyography sensor technology and signal processing: validity and intrarater reliability of recordings from muscle
T2 - Journal of Rehabilitation and Assistive Technologies Engineering
UR - http://dx.doi.org/10.1177/2055668320916116
UR - http://hdl.handle.net/10044/1/77968
VL - 7
ER -