The DOI matches its Crossref record.
An Application of Signal Processing Techniques to the Study of Myoelectric Signals
Abstract
This paper describes the use of power spectral density and cumulative power functions in the examination of the electromyogram (EMG). The EMG signals were obtained with surface electrodes from two muscles, the flexor pollicis brevis and the extensor digitorum, in four subjects. Each muscle was studied at two levels of contraction, both before and during fatigue. The power spectral density functions are compared, using a cumulative power difference function and the mean frequency of the spectrum, to determine differences between loading conditions in an individual muscle, before and during fatigue, between different muscles, between individuals (same muscle), and combinations of these conditions.
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
A Guide for Use and Interpretation of Kinesiologic Electromyographic Data
Soderberg, G. L., & Knutson, L. M. (2000) · Physical Therapy · doi:10.1093/ptj/80.5.485 · Cited by 538
EMG frequency spectrum, muscle structure, and fatigue during dynamic contractions in man
Komi, P. V., & Tesch, P. (1979) · European Journal of Applied Physiology and Occupational Physiology · doi:10.1007/bf00421103 · Cited by 461
Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes
Graupe, D., & Cline, W. K. (1975) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1975.5408479 · Cited by 354
Muscle activation during three sets to failure at 80 vs. 30 % 1RM resistance exercise
Jenkins, N. D. M., Housh, T. J., Bergstrom, H. C., Cochrane, K. C., Hill, E. C., Smith, C. M., Johnson, G. O., Schmidt, R. J., & Cramer, J. T. (2015) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3214-9 · Cited by 140
Haun, C. T., Mumford, P. W., Roberson, P. A., Romero, M. A., Mobley, C. B., Kephart, W. C., Anderson, R. G., Colquhoun, R. J., Muddle, T. W. D., Luera, M. J., et al. (2017) · Physiological Reports · doi:10.14814/phy2.13457 · Cited by 48
Metadata
- Authors
- Kwatny, E., Thomas, D. H., & Kwatny, H. G.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1970-10
- Volume
- BME-17
- Issue
- 4
- Pages
- 303-313
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2001538971
- Cited by
- 330
- References
- 0
- FWCI
- 2.15
- 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: An Application of Signal Processing Techniques to the Study of Myoelectric Signals. https://app.cochat.ai/papers/10.1109/tbme.1970.4502758
- The paper
- Kwatny, E., Thomas, D. H., & Kwatny, H. G. (1970). An Application of Signal Processing Techniques to the Study of Myoelectric Signals. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.1970.4502758
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.
