Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision
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Saxby, David
Pizzolato, Claudio
Worsey, Matthew
Diamond, Laura
Palipana, Dinesh
Bourne, Matthew
De Sousa, Ana Cardoso
Mannan, Malik Muhammad Naeem
Nasseri, Azadeh
Perevoshchikova, Nataliya
Maharaj, Jayishni
Crossley, Claire
Mulholland, Kyle
Collings, Tyler
et al.
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Abstract
The physical demands of military service place soldiers at risk of musculoskeletal injuries and are major concerns for military capability. The health of musculoskeletal tissues depends on their functional mechanical environment experienced in military activities, training and rehabilitation. These environments are the result of the interactions between tissue motion, loading, biology, and morphology. Maintaining health of and/or repairing joint tissues requires targeting the “ideal” in vivo tissue mechanics (i.e., loading and strain), which may be enabled by real-time biofeedback. Recent research has shown that these biofeedback technologies are possible by integrating a patient's personalised digital twin and wireless wearable devices. The personalised digital twins are personalised neuromusculoskeletal rigid body and finite element models that work in real-time by code optimisation and artificial intelligence (AI) methods. Model personalisation is crucial in obtaining physically and physiologically valid predictions. Furthermore, recent work has also shown that laboratory-quality biomechanical measurements and modelling can be performed outside the laboratory with a small number of wearable sensors or computer vision methods. The next stage is to combine these technologies into well-designed easy to use products.
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Journal of Science and Medicine in Sport
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© 2023 The Author(s). Published by Elsevier Ltd on behalf of Sports Medicine Australia. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
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Subject
Sports medicine
Rehabilitation engineering
Clinical sciences
Sports science and exercise
Applied and developmental psychology
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Lloyd, D; Saxby, D; Pizzolato, C; Worsey, M; Diamond, L; Palipana, D; Bourne, M; De Sousa, AC; Mannan, MMN; Nasseri, A; Perevoshchikova, N; Maharaj, J; Crossley, C; Mulholland, K; Collings, T; et al., Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision, Journal of Science and Medicine in Sport, 2023