Reprint

On the Applications of EMG Sensors and Signals

Edited by
March 2023
366 pages
  • ISBN978-3-0365-5989-6 (Hardback)
  • ISBN978-3-0365-5990-2 (PDF)

This book is a reprint of the Special Issue On the Applications of EMG Sensors and Signals that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

This reprint captures the latest advances in Electromyography (EMG) sensor development, EMG sensor applications, and EMG signal conditioning using theoretical and experimental approaches. This report is timely, as EMG sensors and signals have applications in many domains. This reprint provides a snapshot of several exciting EMG sensor and signal applications: swallowing, motion detection and prostheses control, muscle synergies, robotic exoskeleton, driver’s behaviour, signal conditioning, and muscle assessment.

Format
  • Hardback
License
© by the authors
Keywords
human activity recognition; surface electromyography; inertial measurement units; feature selection; wearable sensors; surface electromyogram; prosthesis control; wearable; low-cost; human fatigue monitoring; neuromuscular fatigue; surface electromyography time-frequency signal analysis; time-series modeling; autoregressive moving average model with exogenous inputs; isometric contraction; elbow extension; stroke rehabilitation; surface electromyography (sEMG); pattern recognition (PR); ankle joint movements; home-based physical therapy; lower limb functional recovery; inspiratory threshold loading; neuromechanical coupling; parasternal intercostal muscles; respiratory pressure; surface electromyography; surface mechanomyography; Targeted Muscle Reinnervation (TMR); upper limb amputee; prosthesis; prosthetic control; multi-DoF control; pattern recognition; myofascial pain syndrome; trigger points; electromyography; deep dry needling; ischemic pressure technique; ADL; EMG; forearm muscles; muscles role; synergies; muscle coordination; muscle synergy; MCR-ALS; sparseness; electromyography; motor function; stroke; electromyogram; EMG; exploratory data analysis; wave train electrical activity analysis method; wave trains; wavelets; signal processing; AUC diagrams; ROC analysis; Parkinson’s disease; myoelectric prostheses; embroidered EMG electrodes; pilot study; online and offline performance; conventional gel electrodes; electromyography; artificial neural network; exoskeleton; assistive technology; robotics; hand gestures; muscle synergies; movements; postures; the central nervous system; motor control; the neural control; surface electromyography; pattern recognition; artificial neural network; electrode shift; hand posture; feature vector; human-computer interaction; armband sensor; driver–automation shared control; haptic guidance steering; adaptive automation design; surface electromyography; driver distraction; electromyography; human machine interface; robotcontrol; EMG-control schemes; surface electromyography; swallowing events; geriatrics; hydration; fluid intake; electromyography; classification model; biomechanical simulation; surface electromyography; Granger causality; functional coordination; dysphagia; swallowing muscle coupling; n/a