Comparison of phonomyography, kinemyography and mechanomyography for neuromuscular monitoring

Trager, Guillaume; Michaud, Guillaume; Deschamps, Stéphane; Hemmerling, Thomas M.

doi:10.1007/bf03021816

Cited by 46 publications

(24 citation statements)

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“…Trager et al [50] compared and determined the agreement of phonomyography, kinemyography, and MMG, for the detection of neuromuscular blockade after a dose of mivacurium 0.2 mg/kg during a train-of-four stimulation. Onset time and peak effect measured via MMG and phonomyography were similar.…”

Section: ) Mmg Measurement In Exercisementioning

confidence: 99%

“…3) MMG for Neuromuscular Rehabilitation: Two studies deployed MMG for neuromuscular rehabilitation [49], [50] (Table XV). Trager et al [50] compared and determined the agreement of phonomyography, kinemyography, and MMG, for the detection of neuromuscular blockade after a dose of mivacurium 0.2 mg/kg during a train-of-four stimulation.…”

Section: ) Mmg Measurement In Exercisementioning

confidence: 99%

“…These applications include, for example, the characterization of neuromuscular disorders [40]- [42], the development of prosthesis and/or switch control [28], [43], studying MU activity [21], [44], [45], examining mechanical properties during exercises [46]- [48], and in investigating rehabilitation systems [49], [50]. In addition, we have found several studies which conducted research on MMG sensor development [7], [26], [51], simultaneously testing multiple sensors and comparing their effects on muscles [52], [53].…”

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Mechanomyography Sensor Development, Related Signal Processing, and Applications: A Systematic Review

et al. 2013

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Mechanomyography (MMG) is extensively used in the research of sensor development, signal processing, characterization of muscle activity, development of prosthesis and/or switch control, diagnosis of neuromuscular disorders, and as a medical rehabilitation tool. Despite much existing MMG research, there has been no systematic review of these. This paper aims to determine the current status of MMG in sensor development, related signal processing, and applications. Six electronic databases were extensively searched for potentially eligible studies published between 2003 and 2012. From a total of 175 citations, 119 were selected for full-text evaluation and 86 potential studies were identified for further analysis. This systematic review initially reveals that the development of accelerometers for MMG is still in the initial stage. Another important finding of this paper is that sensor placement location on muscles may influence the MMG signal. In addition, we observe that the majority of research processes MMG signals using wavelet transform. Time/frequency domain analysis of MMG signals provides useful information to examine muscle. In addition, we find that MMG may be applied to diagnose muscle conditions, to control prosthesis and/or switch devices, to assess muscle activities during exercises, to study motor unit activity, and to identify the type of muscle fiber. Finally, we find that the majority of the studies use accelerometers as sensors for MMG measurements. We also observe that currently MMG-based rehabilitation is still in a nascent stage. In conclusion, we recommend further improvements of MMG in the areas of sensor development, particularly on accelerometers, and signal processing aspects, as well as increasing future applications of the technique in prosthesis and/or switch control, clinical practices, and rehabilitation.

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Section: ) Mmg Measurement In Exercisementioning

confidence: 99%

Section: ) Mmg Measurement In Exercisementioning

confidence: 99%

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Mechanomyography Sensor Development, Related Signal Processing, and Applications: A Systematic Review

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“…With a pre-stretching mechanism it should be possible to bring the muscle to an optimum length. Many known devices have no pre-stretching mechanism for the optimum length but use an arbitrary length [15,25,27,32] or define the length by the stretching force [20,22]. Other devices have a pre-stretching mechanism, but these are graded either with rough gradation [31] or with finer gradations using a step-motor [21,29,30].…”

Section: Discussionmentioning

confidence: 99%

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“…There are many examples where MMG has been applied to characterize muscle activity. These applications include for example, the characterization of MFs [22], [29]–[31], the development of prosthesis and/or switch control [32], [33], studying activity of motor unit [34]–[36], evaluating muscles during sports and exercises [37]–[39], monitoring neuromuscular blockade [40], and development of a suitable model for studying the motor unit activity [41]. In addition, we have found several studies which conducted research on MMG sensor development [6], [15], [42], simultaneously testing multiple sensors and comparing their effects on muscles' [43], [44].…”

Section: Introductionmentioning

confidence: 99%

Mechanomyogram for Muscle Function Assessment: A Review

et al. 2013

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BackgroundMechanomyography (MMG) has been extensively applied in clinical and experimental practice to examine muscle characteristics including muscle function (MF), prosthesis and/or switch control, signal processing, physiological exercise, and medical rehabilitation. Despite several existing MMG studies of MF, there has not yet been a review of these. This study aimed to determine the current status on the use of MMG in measuring the conditions of MFs.Methodology/Principal FindingsFive electronic databases were extensively searched for potentially eligible studies published between 2003 and 2012. Two authors independently assessed selected articles using an MS-Word based form created for this review. Several domains (name of muscle, study type, sensor type, subject's types, muscle contraction, measured parameters, frequency range, hardware and software, signal processing and statistical analysis, results, applications, authors' conclusions and recommendations for future work) were extracted for further analysis. From a total of 2184 citations 119 were selected for full-text evaluation and 36 studies of MFs were identified. The systematic results find sufficient evidence that MMG may be used for assessing muscle fatigue, strength, and balance. This review also provides reason to believe that MMG may be used to examine muscle actions during movements and for monitoring muscle activities under various types of exercise paradigms.Conclusions/SignificanceOverall judging from the increasing number of articles in recent years, this review reports sufficient evidence that MMG is increasingly being used in different aspects of MF. Thus, MMG may be applied as a useful tool to examine diverse conditions of muscle activity. However, the existing studies which examined MMG for MFs were confined to a small sample size of healthy population. Therefore, future work is needed to investigate MMG, in examining MFs between a sufficient number of healthy subjects and neuromuscular patients.

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Comparison of phonomyography, kinemyography and mechanomyography for neuromuscular monitoring

Cited by 46 publications

References 14 publications

Mechanomyography Sensor Development, Related Signal Processing, and Applications: A Systematic Review

Mechanomyography Sensor Development, Related Signal Processing, and Applications: A Systematic Review

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Mechanomyogram for Muscle Function Assessment: A Review

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