The human body consists of interacting systems, such as musculoskeletal, nervous, and cardiovascular systems, that work together to perform complex body functions and movement. In the past decades, researchers have focused on the study of individual system using biomechanical approaches to better understand the structure and function of the human system and how pathological diseases affect human musculoskeletal system function and movement. Although the concept of nonlinear dynamics and complex patterns have been recognized as emergent methods to better understand the human musculoskeletal system and movement, the nonlinear dynamics and complex patterns of human musculoskeletal system and movement remain largely unexplored.
Concepts of nonlinear dynamics and complex patterns in the human musculoskeletal system and movement refer to variability, adaptability, and pattern formation. Because human systems are complex in nature, the use of linear and non-complexity methods limits the understanding of how pathological diseases as well as aging and growth affect performance of the human musculoskeletal system and movement. There is a need for better methods to investigate nonlinear dynamics and complex patterns of human musculoskeletal system and movement. To provide insights of the effects of various pathological diseases, aging and growth as well as rehabilitative interventions on the musculoskeletal system and movement, we create this research topic as a forum for communications between clinical and nonlinear dynamics and complexity researchers.
The aim of this Research Topic is to highlight novel applications of nonlinear dynamic and complexity methods to understand human musculoskeletal and its interactive systems (eg. nervous, cardiovascular, and integumentary systems) and movement in healthy and pathological (eg. stroke, elderly, and Parkinson’s) populations. Contributions from a theoretical, methodological or practical aspect are welcome. This research topic will allow researchers to share novel applications of nonlinear dynamic and complexity methods as well as machine learning based methods on assessing musculoskeletal system and movement in various pathological conditions. This research topic may contribute to the understanding of complex human musculoskeletal systems and related surrounding systems and movement for making better clinical decisions on assessments and treatments.
This research topic welcomes but are not limited to the following topics:
-Pathological diseases on nonlinear dynamics and complexity of musculoskeletal and its interactive systems (eg. Nervous, cardiovascular and integumentary) as well as human movement
- Aging on nonlinear dynamics and complexity of musculoskeletal system and movement
- Child growth and developmental disabilities on nonlinear dynamics and complexity of movement
- Adaptability in pathological diseases
- Individual variability on complexity of musculoskeletal system and movement
- Machine learning based methods to classify human movement patterns
- Novel applications of nonlinear dynamics methods on movement
- Chaos and its dynamics in movement
- Computational methods and models to quantify complexity of musculoskeletal system and movement
The human body consists of interacting systems, such as musculoskeletal, nervous, and cardiovascular systems, that work together to perform complex body functions and movement. In the past decades, researchers have focused on the study of individual system using biomechanical approaches to better understand the structure and function of the human system and how pathological diseases affect human musculoskeletal system function and movement. Although the concept of nonlinear dynamics and complex patterns have been recognized as emergent methods to better understand the human musculoskeletal system and movement, the nonlinear dynamics and complex patterns of human musculoskeletal system and movement remain largely unexplored.
Concepts of nonlinear dynamics and complex patterns in the human musculoskeletal system and movement refer to variability, adaptability, and pattern formation. Because human systems are complex in nature, the use of linear and non-complexity methods limits the understanding of how pathological diseases as well as aging and growth affect performance of the human musculoskeletal system and movement. There is a need for better methods to investigate nonlinear dynamics and complex patterns of human musculoskeletal system and movement. To provide insights of the effects of various pathological diseases, aging and growth as well as rehabilitative interventions on the musculoskeletal system and movement, we create this research topic as a forum for communications between clinical and nonlinear dynamics and complexity researchers.
The aim of this Research Topic is to highlight novel applications of nonlinear dynamic and complexity methods to understand human musculoskeletal and its interactive systems (eg. nervous, cardiovascular, and integumentary systems) and movement in healthy and pathological (eg. stroke, elderly, and Parkinson’s) populations. Contributions from a theoretical, methodological or practical aspect are welcome. This research topic will allow researchers to share novel applications of nonlinear dynamic and complexity methods as well as machine learning based methods on assessing musculoskeletal system and movement in various pathological conditions. This research topic may contribute to the understanding of complex human musculoskeletal systems and related surrounding systems and movement for making better clinical decisions on assessments and treatments.
This research topic welcomes but are not limited to the following topics:
-Pathological diseases on nonlinear dynamics and complexity of musculoskeletal and its interactive systems (eg. Nervous, cardiovascular and integumentary) as well as human movement
- Aging on nonlinear dynamics and complexity of musculoskeletal system and movement
- Child growth and developmental disabilities on nonlinear dynamics and complexity of movement
- Adaptability in pathological diseases
- Individual variability on complexity of musculoskeletal system and movement
- Machine learning based methods to classify human movement patterns
- Novel applications of nonlinear dynamics methods on movement
- Chaos and its dynamics in movement
- Computational methods and models to quantify complexity of musculoskeletal system and movement
