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      New advances in mechanomyography sensor technology and signal processing: Validity and intrarater reliability of recordings from muscle

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          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 (R 2 = 0.94).

          Conclusion

          The mechanomyography device records valid and reliable signals of mechanical muscle activity on different days.

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          Most cited references26

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          The surface mechanomyogram as a tool to describe the influence of fatigue on biceps brachii motor unit activation strategy. Historical basis and novel evidence.

          The surface mechanomyogram (MMG) (detectable at the muscle surface as MMG by accelerometers, piezoelectric contact sensors or other transducers) is the summation of the activity of single motor units (MUs). Each MU contribution is related to the pressure waves generated by the active muscle fibres. The first part of this article will review briefly the results obtained by our group studying the possible role of motor unit recruitment and firing rate in determining the characteristics of the MMG during stimulated and voluntary contractions. The second part of this article will study the MMG and EMG during a short isometric force ramp from 0 to 90% of the maximal voluntary contraction (MVC) in fresh and fatigued biceps brachii. The aim is to verify whether changes in motor unit activation strategy in voluntarily fatigued muscle could be specifically reflected in the time and frequency domain parameters of the MMG. MMG-RMS vs. %MVC: at fatigue the MMG-RMS did not present the well known increment, when effort level increases, followed by a clear decrement at near-maximal contraction levels. MMG-MF vs. %MVC: compared to fresh muscle the fatigued biceps brachii showed an MF trend significantly shifted towards lower values and the steeper MF increment, from 65 to 85% MVC, was not present. The alteration in the MMG and EMG parameters vs. %MVC relationships at fatigue seems to be related to the impossibility of recruiting fast, but more fatigable MUs, and to the lowering of the global MUs firing during the short isometric force ramp investigated.
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            A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography

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              Muscle sound: bases for the introduction of a mechanomyographic signal in muscle studies.

              C Orizio (1992)
              Muscular sound is a mechanical phenomenon detectable at the surface of an active muscle, which has been known and described since 1800. Only recently, because of the availability of reliable transducers and sophisticated analysis techniques, has this signal become attractive for monitoring the mechanical aspects of muscle contraction. The muscular sound characteristics were investigated both during electrically elicited and voluntary contractions. In the first case, the influence of the biophysical and mechanical properties of the muscle on this signal was studied. During voluntary efforts the summation of the mechanical activity of the recruited motor units was analyzed. The results indicate that the muscular sound may be an adjunct tool to the force, the physiological force tremor, and electromyogram to obtain information on the muscle mechanical model as well as on muscle motor control. This review focuses on the following aspects of the signal: (1) recording problems; (2) muscle sound properties during stimulation of isolated and in vivo muscle; (3) time and frequency domain analysis during non fatiguing and fatiguing contractions; (4) comparison with other signals related to muscle activity; (5) discussion on the origin; and (6) possible practical applications.
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                Author and article information

                Journal
                J Rehabil Assist Technol Eng
                J Rehabil Assist Technol Eng
                JRT
                spjrt
                Journal of Rehabilitation and Assistive Technologies Engineering
                SAGE Publications (Sage UK: London, England )
                2055-6683
                9 April 2020
                Jan-Dec 2020
                : 7
                : 2055668320916116
                Affiliations
                [1 ]School of Health Sciences, University of Southampton, Southampton, UK
                [2 ]Department of Mechanical Engineering, Imperial College London, London, UK
                [3 ]Centre for Sport, Exercise and Osteoarthritis Versus Arthritis, Nottingham, UK
                Author notes
                [*]Claire Meagher, School of Health Sciences, University of Southampton, Southampton, UK. Email: C.Meagher@ 123456soton.ac.uk
                Author information
                https://orcid.org/0000-0003-2215-1531
                https://orcid.org/0000-0002-4204-0890
                Article
                10.1177_2055668320916116
                10.1177/2055668320916116
                7153181
                75ca602c-6351-4f34-aa44-785f916181db
                © The Author(s) 2020

                Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 11 January 2019
                : 17 February 2020
                Funding
                Funded by: NIHR Invention for Innovation ;
                Award ID: II-LB- 0814-20006
                Categories
                Original Article
                Custom metadata
                January-December 2020
                ts2

                rehabilitation,sensors/sensor applications,rehabilitation devices,upper-limb,electromyography,sensor design,mechanomyography

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