EMG-Driven Model Predictions Of Glenohumeral Joint Force Show High Agreement With Instrumented Implant Data After Targeted Model Calibration
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Kian, Azadeh 
ORCID: 0000-0003-1724-790X, Pizzolato, Claudio, Halaki, Mark, Ginn, Karen, Lloyd, David and Ackland, David C ORCID: 0000-0002-0559-7569
EMG-Driven Model Predictions Of Glenohumeral Joint Force Show High Agreement With Instrumented Implant Data After Targeted Model Calibration.
In: ANZORS 26th Annual Scientific Meeting, 2021, 6 Oct 2021 - 8 Oct 2021, Online.
(Unpublished)
| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/43207 |
| Official URL | https://www.anzors.org.au/annual-conference.html |
| Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > Division/Research > Institute for Health and Sport |
| Keywords | functional performance; computational models; electromyography; neuromusculoskeletal model; muscle forces; shoulder implant; model calibration strategy |
| Download/View statistics | View download statistics for this item |
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