Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

This tutorial is aimed to non-engineers using, or planning to use, surface electromyography
(sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first …

Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …

Abstract MacDonald, GZ, Penney, MDH, Mullaley, ME, Cuconato, AL, Drake, CDJ, Behm,
DG, and Button, DC. An acute bout of self-myofascial release increases range of motion …

Abstract The Consensus for Experimental Design in Electromyography (CEDE) project is an
international initiative which aims to guide decision-making in recording, analysis, and …

Transcranial magnetic stimulation (TMS)-induced silent periods provide an in vivo measure
of human motor cortical inhibitory function. Cortical silent periods (cSP, also sometimes …

The myoelectric interfaces are being used in rehabilitation technology, assistance and as an
input device. This review focuses on an insightful analysis of the data acquisition system of …

Understanding the solid biomechanics of the human body is important to the study of
structure and function of the body, which can have a range of applications in health care …

This article is the first section of a review work structured in three parts and concerning a)
advances in surface EMG detection and processing techniques, b) recent progress in …

Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …