Acoustic signals from frog skeletal muscle

Barry, D. T.

doi:10.1016/s0006-3495(87)83403-3

Cited by 155 publications

(135 citation statements)

References 6 publications

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“…1: (i) the gross lateral movement of the contracting fibres at the beginning of contraction (MMG complex), generated by the shortening of contractile elements before the slack of the elastic-connective tissue has been fully taken up, and F has been transmitted to the tendon insertion point [15]; (ii) the subsequent vibrations at the resonance frequency of the muscle (MMG ripple), reflecting the dimensional changes of the active fibres propagating towards the muscle surface [19][20][21][22]; and (iii) the gross lateral movement of the muscle at the end of contraction (R-MMG complex), due to the maximum acceleration of muscle surface caused by cross-bridges detachment and series elastic components (SEC) detensioning [23,24].…”

Section: Introductionmentioning

confidence: 99%

Electromechanical delay components during skeletal muscle contraction and relaxation in patients with myotonic dystrophy type 1

Esposito

Cè

Rampichini

et al. 2016

Neuromuscular Disorders

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights Patients with myotonic dystrophy type 1 (DM1) were investigated isometrically  We calculated the electromechanical delays during muscle contraction and relaxation  Delays were partitioned into electrochemical and mechanical components  Measurements reliability was very high in both patients and controls  Delays were longer in DM1, especially during muscle relaxation AbstractThe electromechanical delay during muscle contraction and relaxation can be partitioned into mainly electrochemical and mainly mechanical components by an EMG, mechanomyographic, and force combined approach. Components duration and measurements reliability were investigated during contraction and relaxation in a group of patients with myotonic dystrophy type 1 (DM1, n=13) and in healthy controls (n=13). EMG, mechanomyogram, and force were recorded in DM1 and in age-and body-matched controls from tibialis anterior (distal muscle) and vastus lateralis (proximal muscle) muscles during maximum voluntary and electrically-evoked isometric contractions. The electrochemical and mechanical components of the electromechanical delay during muscle contraction and relaxation were calculated off-line. Maximum strength was significantly lower in DM1 than in controls under both experimental conditions. All electrochemical and mechanical components were significantly longer in DM1 in both muscles.Measurements reliability was very high in both DM1 and controls. The high reliability of the measurements and the differences between DM1 patients and controls suggest that the EMG, mechanomyographic, and force combined approach could be utilized as a valid tool to assess the level of neuromuscular dysfunction in this pathology, and to follow the efficacy of pharmacological or non-pharmacological interventions.

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Section: Introductionmentioning

confidence: 99%

Electromechanical delay components during skeletal muscle contraction and relaxation in patients with myotonic dystrophy type 1

Esposito

Cè

Rampichini

et al. 2016

Neuromuscular Disorders

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“…During neuromuscular tissue activation, the time lag between the onset of EMG and MMG signals (Δt EMG-MMG ) (Esposito et al, 2011) noted the existence of excitation-contraction coupling. Regarding this, Barry (1987) monitored the electrical and mechanical responses of the gastrocnemius muscle and found that the mechanical response onset occurred after muscle depolarization but before the emergence of external force production. Cabral et al (2013) measured the time lag between the onset of electrical stimulation and the onset of the mechanomyographic signal (using accelerometer) in one spinal cord injured subject and one able-bodied subject.…”

Section: Clinical Assessment and Rehabilitation Biofeedbackmentioning

confidence: 99%

Advances and perspectives of mechanomyography

Krueger

Scheeren

Nogueira-Neto

et al. 2014

Rev. Bras. Eng. Bioméd.

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Introduction: The evaluation of muscular tissue condition can be accomplished with mechanomyography (MMG), a technique that registers intramuscular mechanical waves produced during a fi ber's contraction and stretching that are sensed or interfaced on the skin surface. Objective: Considering the scope of MMG measurements and recent advances involving the technique, the goal of this paper is to discuss mechanomyography updates and discuss its applications and potential future applications. Methods: Forty-three MMG studies were published between the years of 1987 and 2013. Results: MMG sensors are developed with different technologies such as condenser microphones, accelerometers, laser-based instruments, etc. Experimental protocols that are described in scientifi c publications typically investigated the condition of the vastus lateralis muscle and used sensors built with accelerometers, third and fourth order Butterworth fi lters, 5-100Hz frequency bandpass, signal analysis using Root Mean Square (RMS) (temporal), Median Frequency (MDF) and Mean Power Frequency (MPF) (spectral) features, with epochs of 1 s. Conclusion: Mechanomyographic responses obtained in isometric contractions differ from those observed during dynamic contractions in both passive and functional electrical stimulation evoked movements. In the near future, MMG features applied to biofeedback closed-loop systems will help people with disabilities, such as spinal cord injury or limb amputation because they may improve both neural and myoelectric prosthetic control. Muscular tissue assessment is a new application area enabled by MMG; it can be useful in evaluating the muscular tonus in anesthetic blockade or in pathologies such as myotonic dystrophy, chronic obstructive pulmonary disease, and disorders including dysphagia, myalgia and spastic hypertonia. New research becomes necessary to improve the effi ciency of MMG systems and increase their application in rehabilitation, clinical and other health areas.

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“…Several researchers have attempted to eliminate or separate FT from MMG signals through the use of a Fourier truncation (Goldenberg et al, 1991) or through the use of coherence analysis (Itoh et al, 2000). Barry (1987) argued that it is necessary to remove the influence of FT from MMG signals since the FT may affect MMG signals. Thus, it is necessary to find a method to reduce or eliminate the interfusion of FT with MMG.…”

Section: ) Graduate School Of Science and Technology Chiba Universimentioning

confidence: 99%

“…However, FT (Barry, 1987;Oster and Jaffe, 1980;Itoh et al, 2000;Goldenberg et al, 1991;Orizio, 1993) and motion artifacts (Tarata, 2003;Watakabe et al, 2001) have been…”

Section: Introductionmentioning

confidence: 99%

Influence of Force Tremor on Mechanomyographic Signals Recorded with an Accelerometer and a Condenser Microphone during Measurement of Agonist and Antagonist Muscles in Voluntary Submaximal Isometric Contractions

Kim

Shimomura

Iwanaga

et al. 2008

J Physiol Anthropol

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The purpose of this study was to investigate the influence of force tremor (FT) on the mechanomyogram (MMG) recorded by a condenser microphone (MIC) and an accelerometer (ACC) for the measurement of agonist and antagonist muscles during submaximal isometric contractions. Following determination of the isometric maximum voluntary contraction (MVC), 10 male subjects were asked to perform elbow flexion and extension at 20%, 40%, 60%, and 80% MVC. Surface electromyogram (EMG) and MMG of the biceps brachii (BB) and triceps brachii (TB) were recorded simultaneously using a MIC (MMG-MIC ) and an ACC (MMG-ACC ). We analyzed the root mean square (RMS) for all signals and compared the sum of the power spectrum amplitude (SPA) at 3-6 Hz and 8-12 Hz between the MMG-MIC and the MMG-ACC . During elbow flexion and extension, the RMS of the EMG and the MMG-MIC of the agonist were significantly (pϽ0.05) higher than those of the antagonist in each contraction level. The RMS of the MMG-ACC of the antagonist showed no significant (pϾ0.05) difference from that of the agonist, or tended to be higher than the agonist. The SPA of the MMG-MIC of the agonist at 3-6 Hz and 8-12 Hz tended to be higher than the antagonist in elbow flexion and extension at each contraction level. The SPA of the MMG-ACC of the agonist and that of the antagonist showed no significant ( pϾ0.05) difference, or the antagonist MMG-ACC tended to be higher than that of the agonist. These results suggest the MMG detected by a MIC appears to be less affected by FT than is the ACC because of its inherent characteristic to reduce FT in simultaneously evaluated agonist and antagonist muscles by means of MMG during submaximal isometric contraction.

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Acoustic signals from frog skeletal muscle

Cited by 155 publications

References 6 publications

Electromechanical delay components during skeletal muscle contraction and relaxation in patients with myotonic dystrophy type 1

Electromechanical delay components during skeletal muscle contraction and relaxation in patients with myotonic dystrophy type 1

Advances and perspectives of mechanomyography

Influence of Force Tremor on Mechanomyographic Signals Recorded with an Accelerometer and a Condenser Microphone during Measurement of Agonist and Antagonist Muscles in Voluntary Submaximal Isometric Contractions

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