The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Musculoskeletal modeling of human lower limb during normal walking, one-legged forward hopping and side jumping: Comparison of measured EMG and predicted muscle activity patterns
Open accessAbstract
This study focused on comparing muscle activities predicted by the Musculoskeletal Modeling System with EMG from ten healthy subjects who performed normal walking, one-legged forward hopping and side jumping. Eight EMG electrodes measured the activity of eight right leg muscles. Specific thresholds per muscle were applied on the EMG prior comparison. These thresholds were determined by equalizing the duration of EMG to AMS muscle activity. Three graph variables, number of onsets, offsets and hills were used to quantify the level of agreement by using Cohen׳s kappa analysis. The Pearson correlation coefficient was also calculated as a result comparison. Overall, visual inspection showed comparable activity patterns. However, when quantifying them some differences became apparent. The mean level of agreement of all tests was <0.20, meaning poor agreement. Pearson correlation showed better agreement compared to kappa analysis. In general, a more prescribed motion like FH and SJ showed a better agreement than NW. This explorative study shows that there are distinct differences between the model and EMG pattern. Those differences can be attributed to inevitable modeling limitation within the AMS framework like miscalculating the knee net moment, absence of co-contraction, simplified knee joint. Moreover, the delay between EMG and AMS has a clear effect on the comparison and this delay is obviously missing in the model. Despite those differences, this study can serve as a baseline measurement allowing progress in scientific work in order to reduce uncertainties with the aim to generate more reliable and robust musculoskeletal models in a valid manner.
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
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Practical Statistics for Medical Research.
Walter, S., & Altman, D. G. (1992) · Biometrics · doi:10.2307/2532320 · Cited by 11,666
Development of recommendations for SEMG sensors and sensor placement procedures
Hermens, H. J., Freriks, B., Disselhorst-Klug, C., & Rau, G. (2000) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(00)00027-4 · Cited by 7,213
OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement
Delp, S. L., Anderson, F. C., Arnold, A. S., Loan, P., Habib, A., John, C. T., Guendelman, E., & Thelen, D. G. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.901024 · Cited by 4,951
A gait analysis data collection and reduction technique
Davis, R. B., Õunpuu, S., Tyburski, D., & Gage, J. R. (1991) · Human Movement Science · doi:10.1016/0167-9457(91)90046-z · Cited by 3,086
Feature reduction and selection for EMG signal classification
Phinyomark, A., Phukpattaranont, P., & Limsakul, C. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.01.102 · Cited by 1,605
PRACTICAL STATISTICS FOR MEDICAL RESEARCH
Ludbrook, J. (1991) · Australian and New Zealand Journal of Surgery · doi:10.1111/j.1445-2197.1991.tb00019.x · Cited by 1,219
Analysis of musculoskeletal systems in the AnyBody Modeling System
Damsgaard, M., Rasmussen, J., Christensen, S. T., Surma, E., & de Zee, M. (2006) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2006.09.001 · Cited by 1,031
Model-based estimation of muscle forces exerted during movements
Erdemir, A., McLean, S. G., Herzog, W., & van den Bogert, A. J. (2006) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2006.09.005 · Cited by 873
Muscle recruitment by the min/max criterion — a comparative numerical study
Rasmussen, J. O., Damsgaard, M., & Voigt, M. (2001) · Journal of Biomechanics · doi:10.1016/s0021-9290(00)00191-3 · Cited by 456
Research works printed but not linked: 2
- Konrad, 2005, The ABC of EMG, a practical introduction to kinesiological, Electromyography
- Lee, 2007, Detection of onsets and offsets time of muscle activity in surface EMGs using the Kalman smoother, IFMBE Proc., 14/2
Cited by
Sorted by citations
Refining muscle geometry and wrapping in the TLEM 2 model for improved hip contact force prediction
Pieri, E. D., Lund, M. E., Gopalakrishnan, A., Rasmussen, K. P., Lunn, D. E., & Ferguson, S. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204109 · Cited by 81
Lu, Y., Wang, H., Qi, Y., & Xi, H. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102279 · Cited by 45
Kim, Y., Jung, Y., Choi, W., Lee, K., & Koo, S. (2018) · Journal of Mechanical Science and Technology · doi:10.1007/s12206-018-1154-0 · Cited by 33
Dupré, T., Dietzsch, M., Komnik, I., Potthast, W., & David, S. (2018) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2018.12.013 · Cited by 26
Classification of EMG signals from forearm muscles as automatic control using Naive Bayes
Falih, A. D. I., Dharma, W. A., & Sumpeno, S. (2017) · International Seminar on Intelligent Technology and Its Applications · doi:10.1109/isitia.2017.8124107 · Cited by 15
Metadata
- Authors
- Wibawa, A. D., Verdonschot, N., Halbertsma, J. P. K., Burgerhof, J. G. M., Diercks, R. L., & Verkerke, G. J.
- Affiliations
- Institut Teknologi Sepuluh Nopember (ID)
- Radboud University Medical Center (NL)
- University Medical Center Groningen (NL)
- Corresponding author
- Wibawa, A.D.
- Venue
- Journal of Biomechanics
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 49
- Issue
- 15
- Pages
- 3660-3666
- ISSN
- 0021-9290 (ISSN-L)
- OpenAlex
- W2529469010
- Cited by
- 25
- References
- 26
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 1 · 2018: 5 · 2017: 2
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- green
- research.utwente.nl
- Licence
- Locations
- Journal of Biomechanics (publishedVersion)
- PubMed (publishedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- University of Twente Research Information (submittedVersion)
- Funders
- Directorate General of Higher Education (DIKTI)
- Ministry of National Education
- Indonesia and the University of Groningen
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Physical Sciences › Engineering › Biomedical Engineering › Mechanics and Biomechanics Studies
- Keywords
- musculoskeletal modeling, lower limb muscles, electromyography, walking, model validation, co-contraction
- MeSH terms
- Adult, Electromyography, Female, Humans, Male, Models, Biological, Movement, Muscle, Skeletal, Lower Extremity, Young Adult
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: Musculoskeletal modeling of human lower limb during normal walking, one-legged forward hopping and side jumping: Comparison of measured EMG and predicted muscle activity patterns. https://app.cochat.ai/papers/10.1016/j.jbiomech.2016.09.041
- The paper
- Wibawa, A. D., Verdonschot, N., Halbertsma, J. P. K., Burgerhof, J. G. M., Diercks, R. L., & Verkerke, G. J. (2016). Musculoskeletal modeling of human lower limb during normal walking, one-legged forward hopping and side jumping: Comparison of measured EMG and predicted muscle activity patterns. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2016.09.041
