Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia.
Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia.
J Sci Med Sport. 2023 Jun;26 Suppl 1:S30-S39. doi: 10.1016/j.jsams.2023.04.001. Epub 2023 Apr 16.
The physical demands of military service place soldiers at risk of musculoskeletal injuries and are major concerns for military capability. This paper outlines the development new training technologies to prevent and manage these injuries.
Narrative review.
Technologies suitable for integration into next-generation training devices were examined. We considered the capability of technologies to target tissue level mechanics, provide appropriate real-time feedback, and their useability in-the-field.
Musculoskeletal tissues' health depends on their functional mechanical environment experienced in military activities, training and rehabilitation. These environments result from 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. Personalised digital twins are personalised neuromusculoskeletal rigid body and finite element models that work in real-time by code optimisation and artificial intelligence. Model personalisation is crucial in obtaining physically and physiologically valid predictions.
Recent work has 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.
军事任务的身体需求使士兵面临肌肉骨骼损伤的风险，这是对军事能力的主要关注。本文概述了开发新的训练技术以预防和管理这些损伤的情况。
叙述性综述。
研究了适合集成到下一代训练设备中的技术。我们考虑了技术靶向组织力学的能力、提供适当的实时反馈的能力以及在现场使用的能力。
肌肉骨骼组织的健康取决于其在军事活动、训练和康复中经历的功能性机械环境。这些环境是由组织运动、加载、生物学和形态之间的相互作用产生的。维持关节组织的健康和/或修复关节组织需要针对“理想”的体内组织力学（即加载和应变），这可能通过实时生物反馈来实现。最近的研究表明，通过整合患者的个性化数字孪生和无线可穿戴设备，这些生物反馈技术是可行的。个性化数字孪生是个性化的神经肌肉骨骼刚体和有限元模型，通过代码优化和人工智能实时运行。模型个性化对于获得物理和生理有效预测至关重要。
最近的工作表明，使用少量可穿戴传感器或计算机视觉方法，可以在实验室外进行实验室质量的生物力学测量和建模。下一步是将这些技术结合到设计良好、易于使用的产品中。
