The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Acoustic myography: A noninvasive monitor of motor unit fatigue
Open accessAbstract
Acoustic myography is the recording of sounds produced by contracting muscle. These sounds become louder with increasing force of contraction. We have compared muscle sounds with surface EMG to monitor the dissociation of electrical from mechanical events (presumably, the loss of excitation–contraction coupling) which occur with motor unit fatigue. Acoustic signals were amplified using a standard phonocardiograph, recorded on FM magnetic tape, and digitally analyzed. Muscles were examined at rest, with intermittent contractions, and with sustained contractions. We found that with fatigue, the acoustic amplitude decayed, but the surface EMG amplitude did not. With decreased effort, however, the acoustic and the surface EMG amplitudes declined simultaneously. By simultaneously recording acoustic signals and needle EMG, individual motor units were resolved acoustically in two muscles with decreased numbers of motor units and increased motor unit size. Fasciculations also produced acoustic signals, although no acoustic signal has yet been found that correlates with fibrillations. Analysis of acoustic signals from muscle provides a noninvasive method for monitoring motor unit fatigue in vivo. It may also be useful in distinguishing muscle fatigue from decreased volition.
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“Acoustic signals increase in parallel with surface EMG signals during voluntary and evoked contraction, but acoustic amplitude decays with fatigue whereas EMG amplitude does not”
From A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems (2005) · cites this paper as Barry et al., 1985
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Cites
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Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845
A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue
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Orizio, C., Gobbo, M., Diemont, B., Esposito, F., & Veicsteinas, A. (2003) · European Journal of Applied Physiology · doi:10.1007/s00421-003-0924-1 · Cited by 260
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Metadata
- Authors
- Barry, D. T., Geiringer, S. R., & Ball, R. D.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Barry, Daniel T.
- Venue
- Muscle & Nerve
- Publisher
- Wiley
- Published
- 1985-03
- Volume
- 8
- Issue
- 3
- Pages
- 189-194
- ISSN
- 0148-639X (ISSN-L)
- 1097-4598
- OpenAlex
- W2096569144
- Cited by
- 208
- References
- 16
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 3 · 2019: 5 · 2018: 9 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 5 · 2013: 10 · 2012: 6
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Muscle & Nerve (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- University of Michigan (48109)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Clinical Neurology › Peripheral Nerve Disorders
- Keywords
- mechanomyography, motor unit fatigue, muscle sound, excitation-contraction coupling, surface electromyography, needle electromyography, sustained contraction, motor unit size, fasciculations
- MeSH terms
- Acoustics, Adult, Electromyography, Fatigue, Humans, Motor Neurons, Muscle Contraction, Muscles, Myography
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