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TOPICAL COLLECTIONS

Advances in Wearable, Experimental, and Computational Approaches for Understanding and Managing Musculoskeletal Disorders
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Qichang Mei

Qichang Mei

Ningbo University, China

Dr. Qichang Mei is an Associate Professor in the Faculty of Sports Science at Ningbo University. He is also an honorary Research Fellow at the Auckland Bioengineering Institute at The University of Auckland, where he finished his PhD in bioengineering with the Dean’s List thesis award in 2020. His primary research interest is musculoskeletal biomechanics using musculoskeletal modeling techniques, Finite Element analysis, experimental and wearable-driven machine learning, and artificial intelligent statistics.  

Collection Overview

With the advancement of neuromusculoskeletal biomechanics, biomechanical approaches have gained extensive application across various domains of the human motor system. Recent studies have employed wearable, experimental, and computational methods, encompassing traditional lab-based experiments, musculoskeletal (MSK) modeling, and finite element (FE) simulation. These approaches offer insights into understanding and managing musculoskeletal disorders, mainly focusing on biomechanical issues such as neuromusculoskeletal control, the mechanics of sports injuries, and clinical diseases. 

 

Over the past decades, wearables and other advanced methodologies have enriched research on musculoskeletal disorders and diseases within the human motor system. Therefore, it becomes imperative to prioritize the utilization of scientific and rational novel methods to address the challenges posed by musculoskeletal disorders. 

 

This Methods Collection aims to compile original articles that present innovative approaches aimed at comprehending and addressing musculoskeletal disorders. Consequently, this collection will emphasize contemporary practices that delve into musculoskeletal disorders within the human motor system.  

 

The scope includes, but is not limited to: 

 

  • Muscle and tendon biomechanics 
  • Bone and joint biomechanics 
  • Wearables and artificial intelligence 
  • Computational FE and MSK modeling 
  • Physiological and biomechanical mechanisms of sports injuries 
  • Data-driven and digital twin (DT) technologies 
  • Neuromusculoskeletal modeling of clinical diseases 

Articles

Influence of Step-Width Manipulation on Running Biomechanics
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Influence of Step-Width Manipulation on Running Biomechanics

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2025

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