Results 1 to 10 of about 37,992 (290)

Surface electromyography using dry polymeric electrodes

APL Bioengineering, 2023
Conventional wet Ag/AgCl electrodes are widely used in electrocardiography, electromyography (EMG), and electroencephalography (EEG) and are considered the gold standard for biopotential measurements.
Nicolas Steenbergen, Ivan Busha, Alexis Morgan, Collin Mattathil, Arieh Levy Pinto, Fotios Spyridakos, Ivan Sokolovskiy, Bogachan Tahirbegi, Christopher Chapman, Estelle Cuttaz, Karina Litvinova, Josef Goding, Rylie Green   +12 more
doaj   +5 more sources

Surface Electromyography-Controlled Automobile Steering Assistance

Sensors, 2020
Disabilities of the upper limb, such as hemiplegia or upper limb amputation, can limit automobile drivers to steering with one healthy arm. For the benefit of these drivers, recent studies have developed prototype interfaces that realized surface ...
Edric John Cruz Nacpil, Kimihiko Nakano
doaj   +3 more sources

Surface electromyography: A pilot study in canine spinal muscles. [PDF]

MethodsX
Ribeiro AM, Pereira D, Gaspar GB, Dos Santos MC, Plácido da Silva H, Requicha JF.   +5 more
europepmc   +2 more sources

Experimental study on the sEMG of "joint angle effect" of human muscle strength—Taking biceps brachii as an example [PDF]

E3S Web of Conferences, 2020
In the experiment, the author used wave plus wireless surface electromyography system (SEMs + 3-axis acceleration sensor) made in Italy and wave wireless EMG software system, high-definition high-speed camera and human joint angle measuring instrument ...
Gao Jianxin, Han Cheng, Huang Wenying, Gao Jianjun, Nie Liaoliang   +4 more
doaj   +1 more source

Correlation Between Accompanying Symptoms of Facial Nerve Palsy, Clinical Assessment Scales and Surface Electromyography [PDF]

Journal of Acupuncture Research, 2022
Background This retrospective study aimed to determine whether there were correlations between the number and type of accompanying symptoms of peripheral facial nerve palsy, and surface electromyography (SEMG) and clinical assessment scales to help ...
Gyu Hui Kim, Jung Hyeon Park, Tae Kyung Kim, Eun Ju Lee, Su Eun Jung, Jong Cheol Seo, Cheol Hong Kim, Yoo Min Choi, Hyun Min Yoon   +8 more
doaj   +1 more source

A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time. [PDF]

J Neuroeng Rehabil
Ma J, Wang L, Wu R, Zhang N, Wei J, Li J, Li Q, Tan L, Li G, Jiang N, Dan G.   +10 more
europepmc   +3 more sources

Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors

Frontiers in Computational Neuroscience, 2021
Finger gesture recognition (FGR) plays a crucial role in achieving, for example, artificial limb control and human-computer interaction. Currently, the most common methods of FGR are visual-based, voice-based, and surface electromyography (EMG)-based ...
Jianting Fu, Shizhou Cao, Linqin Cai, Lechan Yang   +3 more
doaj   +1 more source

Image set preparation: A platform to prepare a myoelectric signal to train a CNN

SoftwareX, 2023
Derived from the good performance in the classification of surface Electromyography signals using CNN for its application in prosthetics, rehabilitation, and medicine, we present a platform that, from a surface Electromyography, performs the necessary ...
Jorge Arturo Sandoval-Espino, Alvaro Zamudio-Lara, José Antonio Marbán-Salgado, J Jesús Escobedo-Alatorre, Omar Palillero-Sandoval, J. Guadalupe Velásquez Aguilar   +5 more
doaj   +1 more source

Non-Invasive Muscular Atrophy Causes Evaluation for Limb Fracture Based on Flexible Surface Electromyography System

Sensors, 2022
Muscular atrophy after limb fracture is a frequently occurring complication with multiple causes. Different treatments and targeted rehabilitation procedures should be carried out based on the causes.
Xiachuan Pei, Ruijian Yan, Guangyao Jiang, Tianyu Qi, Hao Jin, Shurong Dong, Gang Feng   +6 more
doaj   +1 more source

Facial Muscle Mapping and Expression Prediction using a Conformal Surface-Electromyography Platform [PDF]

Hanein Y, Man H, Funk P, Guntinas-Lichius O, Levit B, Bar-Haim C, Ben-Dov D.   +6 more
europepmc   +2 more sources