Advances in Sensors Development and Computer Science: Contributing to Neuromuscular Coordination in Human Movement

Dear Colleagues,

The study of neuromuscular coordination involves investigating neural and muscular mechanisms to explain physiological and biomechanical adaptations that result from training and rehabilitation, injury and/or disease. It covers a broad area in human movement: from sports and exercise, rehabilitation and motor learning to ergonomics and orthotic devices development.

The massive ongoing technological development, namely in sensors development and computer science, has been allowing the continuous in-depth understanding of the neuromuscular function. For example, high-density surface electromyography and shear wave elastography are two technologies that are expanding the current knowledge of neural and muscular mechanisms. Similarly, machine learning and deep learning algorithms also significantly contribute to understanding complex physiological phenomena that relate neuromuscular coordination with disease.

This Special Issue aims to invite contributions on the more recent developments and advances of biosensors and innovative methodological approaches applied to investigate neuromuscular mechanisms and how they adapt to different contexts of human movement: e.g., physical exercise, strength training, motor learning, rehabilitation, movement disorders and injury, fatigue, and aging.

We are open to receiving submissions of both review and original research articles that involve the use of sensors that quantify neural- and muscular-related parameters with a particular emphasis on neuromuscular coordination.

Dr. Pedro Pezarat-Correia
Dr. João R. Vaz
Guest Editors

Manuscript Submission Information

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