The DOI matches its Crossref record.
Interpretation of myoelectric power spectra: A model and its applications
Abstract
Some essential elements of a mathematical model describing the power spectrum of myoelectric signals are presented. The influences of electrode cofiguration and of biological parameters such as muscle-fiber radius, action-potential conduction velocity, spread of synapses over the innervation zone, number of fibers per motor unit, and electrode-to-muscle distance are expressed in terms of filter functions modifying the shape of the power spectrum of the generator signal. Signal processing for parameter identification is described and results are listed. A few applications are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The extraction of neural strategies from the surface EMG
Farina, D., Merletti, R., & Enoka, R. M. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01070.2003 · Cited by 1,573
Interpretation of the Surface Electromyogram in Dynamic Contractions
Farina, D. (2006) · Exercise and Sport Sciences Reviews · doi:10.1249/00003677-200607000-00006 · Cited by 324
Fuglevand, A. J., Winter, D. A., Patla, A. E., & Stashuk, D. (1992) · Biological Cybernetics · doi:10.1007/bf00201021 · Cited by 311
Farina, D., Leclerc, F., Arendt-Nielsen, L., Buttelli, O., & Madeleine, P. (2008) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2006.08.005 · Cited by 260
Motor unit recruitment for dynamic tasks: current understanding and future directions
Hodson-Tole, E. F., & Wakeling, J. M. (2009) · Journal of Comparative Physiology B · doi:10.1007/s00360-008-0289-1 · Cited by 145
Metadata
- Authors
- Lindstrom, L. H., & Magnusson, R. I.
- Venue
- Proceedings of the IEEE
- Published
- 1977
- Volume
- 65
- Issue
- 5
- Pages
- 653-662
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2168779154
- Cited by
- 419
- References
- 0
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Interpretation of myoelectric power spectra: A model and its applications. https://app.cochat.ai/papers/10.1109/proc.1977.10544
- The paper
- Lindstrom, L. H., & Magnusson, R. I. (1977). Interpretation of myoelectric power spectra: A model and its applications. Proceedings of the IEEE. https://doi.org/10.1109/proc.1977.10544
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.