Neuromusculoskeletal biomechanics has been a popular topic in understanding the disorders of the human motor system during daily, clinical, and sport-specific activities. Recent studies have been conducted to examine the neuromusculoskeletal control (e.g., postural control, gait stability and falling), the mechanisms of sports injuries (e.g., Anterior Cruciate Ligament, Achilles Tendon, hamstring strain, and bone fracture) and clinical diseases (e.g., joint Osteoarthritis and cerebral palsy, etc.), and the task-based functional assessment. However, previous biomechanical approaches, such as the traditional lab-based experiments, musculoskeletal (MSK) modeling and Finite Element (FE) simulation, are employed separately to investigate the above biomechanical problems.
In recent decades, several excellent and open-source platforms or software have been developed based on the rapid development of technology and advances in interdisciplinary fusion. The cross-platform compatibility challenges were overcome, specifically for subject-specific to population-based studies, experimental scenarios (lab motion capture to intelligent wearables and markerless sensing), and rigid to continuum tissue loading, formation adaptability and damage. All these techniques, when combined, may offer promising plausibility to understand motor disorders or diseases. As a result, this Research Topic will serve as a compendium of techniques mentioned above (but not limited to) for understanding neuromusculoskeletal disorders, with a special interest in fusion with Digital Technologies.
This Research Topic aims to gather Original Research articles and Review articles that integrate current state-of-the-art neuromusculoskeletal (including musculoskeletal, neuromuscular, or neuroskeletal) modeling approaches and Digital Technologies (Digital Twin, DT) to investigate the complex biomechanical mechanisms for the prevention, diagnosis, treatment and rehabilitation of disorders in the human motor system. Moreover, this Research Topic would like to publish studies on experiment-driven and muscle-driven computational MSK and FE modeling of neuro-muscular, tendon, bone, and joint (ligament and cartilage) tissues for the injury and rehabilitation of the musculoskeletal system.
Potential topics may include, but are not limited to the following:
1. Data-driven and Digital Twin (DT) technologies;
2. Physiological and biomechanical mechanism of sport injury;
3. Neuromusculoskeletal modeling of clinical diseases;
4. Computational FE and MSK modeling;
5. Muscle and tendon biomechanics;
6. Bone and joint biomechanics;
7. Wearables and artificial intelligence.
Neuromusculoskeletal biomechanics has been a popular topic in understanding the disorders of the human motor system during daily, clinical, and sport-specific activities. Recent studies have been conducted to examine the neuromusculoskeletal control (e.g., postural control, gait stability and falling), the mechanisms of sports injuries (e.g., Anterior Cruciate Ligament, Achilles Tendon, hamstring strain, and bone fracture) and clinical diseases (e.g., joint Osteoarthritis and cerebral palsy, etc.), and the task-based functional assessment. However, previous biomechanical approaches, such as the traditional lab-based experiments, musculoskeletal (MSK) modeling and Finite Element (FE) simulation, are employed separately to investigate the above biomechanical problems.
In recent decades, several excellent and open-source platforms or software have been developed based on the rapid development of technology and advances in interdisciplinary fusion. The cross-platform compatibility challenges were overcome, specifically for subject-specific to population-based studies, experimental scenarios (lab motion capture to intelligent wearables and markerless sensing), and rigid to continuum tissue loading, formation adaptability and damage. All these techniques, when combined, may offer promising plausibility to understand motor disorders or diseases. As a result, this Research Topic will serve as a compendium of techniques mentioned above (but not limited to) for understanding neuromusculoskeletal disorders, with a special interest in fusion with Digital Technologies.
This Research Topic aims to gather Original Research articles and Review articles that integrate current state-of-the-art neuromusculoskeletal (including musculoskeletal, neuromuscular, or neuroskeletal) modeling approaches and Digital Technologies (Digital Twin, DT) to investigate the complex biomechanical mechanisms for the prevention, diagnosis, treatment and rehabilitation of disorders in the human motor system. Moreover, this Research Topic would like to publish studies on experiment-driven and muscle-driven computational MSK and FE modeling of neuro-muscular, tendon, bone, and joint (ligament and cartilage) tissues for the injury and rehabilitation of the musculoskeletal system.
Potential topics may include, but are not limited to the following:
1. Data-driven and Digital Twin (DT) technologies;
2. Physiological and biomechanical mechanism of sport injury;
3. Neuromusculoskeletal modeling of clinical diseases;
4. Computational FE and MSK modeling;
5. Muscle and tendon biomechanics;
6. Bone and joint biomechanics;
7. Wearables and artificial intelligence.