Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix
Open accessAbstract
High-density surface electromyography (HDsEMG) can be used to measure the spatial distribution of electrical muscle activity over the skin. As this distribution is associated with the generation and propagation of muscle fiber action potentials, HDsEMG is processed to extract information on regional muscle activation, muscle fiber characteristics and behaviour of individual motor units. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, summarizes recommendations on the use of HDsEMG in experimental studies. For each application, recommendations are included regarding electrode montage, electrode type and configuration, electrode location and orientation, data analysis, and interpretation. Cautions and reporting standards are also included. The steps of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers when collecting, reporting, and interpreting HDsEMG data. It is hoped that this document will be used to generate new empirical evidence to improve how HDsEMG is used in research and in clinical applications.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The frequency range of the input sine wave signals used in the performance tests (10-210 Hz) spans much of the relevant range of EEG, ECG, and EMG signals.
“Hence, the frequency range of the input sine wave signals used in our performance tests spans much of the relevant range of these three common bioelectric signals.”
From Comparison between Two Time Synchronization and Data Alignment Methods for Multi-Channel Wearable Biosensor Systems Using BLE Protocol (2023) · cites this paper as [38]
The Sampling rate section gives an approximate 10–500 Hz bandwidth for high-density surface EMG, so the stated 10–210 Hz test range overlaps a substantial part of that range. Our copy does not establish the relevant frequency ranges for EEG or ECG, so it does not support the claim about all three signals. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 23
- 10.1016/j.jelekin.2004.09.003. · DOI
- Kleine, B. U. et al. (2007) 'Using two-dimensional spatial information in decomposition of surface EMG signals', Journal of Electromyography and Kinesiology, 17(5), pp. 535-548. doi: 10.1016/j.jelekin.2006.05.003. · DOI
- Lapatki, B. G. et al. (2005) 'Topographical Characteristics of Motor Units of the Lower Facial Musculature Revealed by Means of High-Density Surface EMG', Journal of Neurophysiology, 95(1), pp. 342-354. doi: 10.1152/jn.00265.2005. · DOI
- Lapatki, B. G. et al. (2011) 'Botulinum toxin has an increased effect when targeted toward the muscle's endplate zone: A high-density surface EMG guided study', Clinical Neurophysiology, 122(8), pp. 1611-1616. doi: 10.1016/j.clinph.2010.11.018. · DOI
- Madeleine, P. et al. (2006) 'Experimental muscle pain changes the spatial distribution of upper trapezius muscle activity during sustained contraction', Clinical Neurophysiology, 117(11), pp. 2436- 2445. doi: 10.1016/j.clinph.2006.06.753. · DOI
- Martinez-Valdes, E. et al. (2018) 'Surface electromyographic amplitude does not identify differences in neural drive to synergistic muscles', Journal of Applied Physiology, 124(4), pp. 1071-1079. doi: 10.1152/japplphysiol.01115.2017. · DOI
- Masuda, T., Miyano, H. and Sadoyama, T. (1983) 'The propagation of motor unit action potential and the location of neuromuscular junction investigated by surface electrode arrays', Electroencephalography and Clinical Neurophysiology, 55(5), pp. 594-600. doi: 10.1016/0013- 4694(83)90171-2. · DOI
- McManus, L. et al. (2021) 'Consensus for experimental design in electromyography (CEDE) project: Terminology matrix', Journal of Electromyography and Kinesiology, 59(May), p. 102565. doi: 10.1016/j.jelekin.2021.102565. · DOI
- Merletti, R. and Cerone, G. L. (2020) 'Tutorial. Surface EMG detection, conditioning and pre- processing: Best practices', Journal of Electromyography and Kinesiology, 54(June), p. 102440. doi: 10.1016/j.jelekin.2020.102440. · DOI · Paper page
- Merletti, R., Farina, D. and Gazzoni, M. (2003) 'The linear electrode array: A useful tool with many applications', Journal of Electromyography and Kinesiology, 13(1), pp. 37-47. doi: 10.1016/S1050- 6411(02)00082-2. · DOI · Paper page
- Merletti, R. and Muceli, S. (2019) 'Tutorial. Surface EMG detection in space and time: Best practices', Journal of Electromyography and Kinesiology, 49(August), p. 102363. doi: 10.1016/j.jelekin.2019.102363. · DOI
- Merletti, R., Rainoldi, A. and Farina, D. (2001) 'Surface electromyography for noninvasive characterization of muscle', Exercise & Sport Sciences Reviews, 29(1), pp. 20-25. Available at: http://articles.sirc.ca/search.cfm?id=S- 670978%0Ahttp://search.ebscohost.com/login.aspx?direct=true&db=s3h&AN=SPHS- 670978&site=ehost-live&scope=site%0Ahttp://www.acsm-essr.org.
- Mu, L. and Sanders, I. (2010) 'Sihler's whole mount nerve staining technique: A review', Biotechnic and Histochemistry, 85(1), pp. 19-42. doi: 10.3109/10520290903048384. · DOI
- Rodriguez-Falces, J. et al. (2013) 'Spatial distribution of surface action potentials generated by individual motor units in the human biceps brachii muscle', Journal of Electromyography and Kinesiology, 23(4), pp. 766-777. doi: 10.1016/j.jelekin.2013.03.011. · DOI
- Roeleveld, K. et al. (1997) 'The motor unit potential distribution over the skin surface and its use in estimating the motor unit location', Acta Physiologica Scandinavica, 161(4), pp. 465-472. doi: 10.1046/j.1365-201X.1997.00247.x. · DOI
- Schulte, E. et al. (2005) 'Estimation of the muscle fibre semi-length under varying joint positions on the basis of non-invasively extracted motor unit action potentials', Journal of Electromyography and Kinesiology, 15(3), pp. 290-299. doi: 10.1016/j.jelekin.2004.10.006. · DOI
- Del Vecchio, A. et al. (2020) 'Tutorial: Analysis of motor unit discharge characteristics from high- density surface EMG signals', Journal of Electromyography and Kinesiology, 53, p. 102426. doi: 10.1016/j.jelekin.2020.102426. · DOI
- Vieira, T. M. et al. (2019) 'Postural muscle unit plasticity in stroke survivors: Altered distribution of gastrocnemius' action potentials', Frontiers in Neurology, 10(JUN), pp. 1-10. doi: 10.3389/fneur.2019.00686. · DOI
- Vieira, T. M. M. et al. (2011) 'Postural activation of the human medial gastrocnemius muscle: Are the muscle units spatially localised?', Journal of Physiology, 589(2), pp. 431-443. doi: 10.1113/jphysiol.2010.201806. · DOI
- Waggoner, J., Carline, J. D. and Durning, S. J. (2016) 'Is there a consensus on consensus methodology? Descriptions and recommendations for future consensus research', Academic Medicine, 91(5), pp. 663- 668. doi: 10.1097/ACM.0000000000001092. · DOI
- Watanabe, K., Kouzaki, M. and Moritani, T. (2012) 'Task-dependent spatial distribution of neural activation pattern in human rectus femoris muscle', Journal of Electromyography and Kinesiology, 22(2), pp. 251-258. doi: 10.1016/j.jelekin.2011.11.004. · DOI
- Zhou, P., Suresh, N. L. and Rymer, W. Z. (2011) 'Surface electromyogram analysis of the direction of isometric torque generation by the first dorsal interosseous muscle', Journal of Neural Engineering, 8(3). doi: 10.1088/1741-2560/8/3/036028. · DOI
- Zwarts, M. J. and Stegeman, D. F. (2003) 'Multichannel surface EMG: Basic aspects and clinical utility', Muscle and Nerve, 28(1), pp. 1-17. doi: 10.1002/mus.10358. · DOI · Paper page
Cited by
Sorted by citations
Avila, E. R., Williams, S. E., & Disselhorst-Klug, C. (2023) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2023.111687 · Cited by 44 · see citing works
Self-citationWang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors · doi:10.3390/s23052465 · Cited by 18 · see citing works
Self-citation
- Authors
- Gallina, A., Disselhorst-Klug, C., Farina, D., Merletti, R., Besomi, M., Holobar, A., Enoka, R. M., Hug, F., Falla, D., Søgaard, K., McGill, K., Clancy, E. A., Carson, R. G., van Dieën, J. H., Gandevia, S., Lowery, M., Besier, T., Kiernan, M. C., Rothwell, J. C., Tucker, K., & Hodges, P. W.
- Affiliations
- University of Birmingham (GB)
- RWTH Aachen University (DE)
- Imperial College London (GB)
- Politecnico di Torino (IT)
- The University of Queensland (AU)
- University of Maribor (SI)
- University of Colorado Boulder (US)
- University of Southern Denmark (DK)
- United States Department of Veterans Affairs (US)
- Worcester Polytechnic Institute (US)
- Queen's University Belfast (GB)
- UNSW Sydney (AU)
- University College Dublin (IE)
- University of Auckland (NZ)
- The University of Sydney (AU)
- UCL Queen Square Institute of Neurology (GB)
- Corresponding author
- Hodges, Paul W.
- ORCID
- Gallina, Alessio
- Disselhorst-Klug, Catherine
- Farina, Dario
- Merletti, Roberto
- Besomi, Manuela
- Holobar, Aleš
- Enoka, Roger M.
- Hug, François
- Falla, Deborah
- Søgaard, Karen
- McGill, Kevin
- Clancy, Edward A.
- Carson, Richard G.
- Gandevia, Simon
- Lowery, Madeleine
- Besier, Thor
- Kiernan, Matthew C.
- Rothwell, John C.
- Tucker, Kylie
- Hodges, Paul W.
- Venue
- Journal of Electromyography and Kinesiology
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 64
- Pages
- 102656
- ISSN
- 1050-6411 (ISSN-L)
- OpenAlex
- W4220763389
- Cited by
- 77
- References
- 0
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 15 · 2023: 16 · 2022: 4
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Electromyography and Kinesiology (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
- HAL (submittedVersion, cc-by-nc-nd)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by-nc-nd)
- Research Portal (Queen's University Belfast) (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Royal Society
- Javna Agencija za Raziskovalno Dejavnost RS (P2-0041, L7-9421, J2-1731, Program funding P2-0041, projects J2-1731)
- Institut Universitaire de France
- National Health and Medical Research Council (1102905, 1132524, 1153439)
- 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 › Radiology, Nuclear Medicine and Imaging › Peripheral Nerve Disorders
- Keywords
- high-density surface electromyography, electrode montage, electrode configuration, muscle activation, motor unit behavior, muscle fiber action potentials, Delphi consensus, reporting guidelines
- MeSH terms
- Electrodes, Electromyography, Humans, Research Design, Muscle, Skeletal, Consensus
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