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• W1699974321 abstract "Knowledge of the musculoskeletal loading conditions during strength training is essential for performance monitoring, injury prevention, rehabilitation, and training design. However, measuring muscle forces during exercise performance as a primary determinant of training efficacy and safety has remained challenging.In this paper we review existing computational techniques to determine muscle forces in the lower limbs during strength exercises in vivo and discuss their potential for uptake into sports training and rehabilitation.Muscle forces during exercise performance have almost exclusively been analysed using so-called forward dynamics simulations, inverse dynamics techniques, or alternative methods. Musculoskeletal models based on forward dynamics analyses have led to considerable new insights into muscular coordination, strength, and power during dynamic ballistic movement activities, resulting in, for example, improved techniques for optimal performance of the squat jump, while quasi-static inverse dynamics optimisation and EMG-driven modelling have helped to provide an understanding of low-speed exercises.The present review introduces the different computational techniques and outlines their advantages and disadvantages for the informed usage by nonexperts. With sufficient validation and widespread application, muscle force calculations during strength exercises in vivo are expected to provide biomechanically based evidence for clinicians and therapists to evaluate and improve training guidelines." @default.
• W1699974321 created "2016-06-24" @default.
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• W1699974321 date "2015-01-01" @default.
• W1699974321 modified "2023-10-16" @default.
• W1699974321 title "Review of Modelling Techniques for<i>In Vivo</i>Muscle Force Estimation in the Lower Extremities during Strength Training" @default.
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• W1699974321 doi "https://doi.org/10.1155/2015/483921" @default.
• W1699974321 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4568356" @default.
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