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 (Unpublished)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
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