Neurological disorders are the major cause of disability-adjusted life years (DALYs) and the second leading cause of death worldwide. These disorders are generally associated with anatomical and physiological abnormalities in the peripheral nervous system (PNS) and central nervous system (CNS) circuits. Previous studies focused on scoring systems and experimental designs to measure the improvements in motor-sensory functions associated with changes in CNS and PNS circuits during rehabilitation therapy. However, it is very hard to measure and account for neurophysiological changes associated with rehabilitation therapies using a scoring system only as the circuits constituting CNS and PNS are bioelectrical in nature. Thus, instrumentations that capture bioelectrical signals can measure such changes effectively. They assist us in explaining different neuromuscular strategies employed by the CNS and designing effective rehabilitation methodologies.
In the past few decades, electromyography (EMG) has gained strong attention in rehabilitation sciences among physical therapists, occupational therapists, neuroscientists, biomedical engineers, and bio-mechanist. The EMG device assists in the acquisition of the electrical activity of the muscles invasively through needle EMG and non-invasively through surface EMG. Considered to be the superposition of motor unit action potential, EMG signals display motor output which correlates well with force production, mechanics of limbs, and synergistic activation of muscles. Thus, EMG signals can nicely describe neuromuscular and/or neuromechanical mechanisms associated with neurological disorders.
The main aim of this research topic is to collect original research articles, review articles, and perspectives. The collection aims to bring together different computational, theoretical, and experimental models to understand spinal, and supraspinal circuits, and design EMG-driven rehabilitation devices that extend our understanding of neuromuscular mechanisms underlying neurological disorder, especially using invasive or non-invasive EMG (needle EMG, sEMG, High-Density EMG). Therefore, we welcome researchers from the field of biomedical engineering, biomechanics, neuroscience, physical therapy, etc. to contribute to this issue.
Neurological disorders are the major cause of disability-adjusted life years (DALYs) and the second leading cause of death worldwide. These disorders are generally associated with anatomical and physiological abnormalities in the peripheral nervous system (PNS) and central nervous system (CNS) circuits. Previous studies focused on scoring systems and experimental designs to measure the improvements in motor-sensory functions associated with changes in CNS and PNS circuits during rehabilitation therapy. However, it is very hard to measure and account for neurophysiological changes associated with rehabilitation therapies using a scoring system only as the circuits constituting CNS and PNS are bioelectrical in nature. Thus, instrumentations that capture bioelectrical signals can measure such changes effectively. They assist us in explaining different neuromuscular strategies employed by the CNS and designing effective rehabilitation methodologies.
In the past few decades, electromyography (EMG) has gained strong attention in rehabilitation sciences among physical therapists, occupational therapists, neuroscientists, biomedical engineers, and bio-mechanist. The EMG device assists in the acquisition of the electrical activity of the muscles invasively through needle EMG and non-invasively through surface EMG. Considered to be the superposition of motor unit action potential, EMG signals display motor output which correlates well with force production, mechanics of limbs, and synergistic activation of muscles. Thus, EMG signals can nicely describe neuromuscular and/or neuromechanical mechanisms associated with neurological disorders.
The main aim of this research topic is to collect original research articles, review articles, and perspectives. The collection aims to bring together different computational, theoretical, and experimental models to understand spinal, and supraspinal circuits, and design EMG-driven rehabilitation devices that extend our understanding of neuromuscular mechanisms underlying neurological disorder, especially using invasive or non-invasive EMG (needle EMG, sEMG, High-Density EMG). Therefore, we welcome researchers from the field of biomedical engineering, biomechanics, neuroscience, physical therapy, etc. to contribute to this issue.
