Results 31 to 40 of about 83,136 (298)

Reliability of surface facial electromyography

open access: yesPsychophysiology, 2016
Data from two studies were used to estimate the reliability of facial EMG when used to index facial mimicry (Study 1) or affective reactions to pictorial stimuli (Study 2). Results for individual muscle sites varied between muscles and depending on data treatment.
Ursula Hess   +6 more
openaire   +5 more sources

Surfacevs intramuscular laryngeal electromyography [PDF]

open access: yesCanadian Journal of Anesthesia/Journal canadien d'anesthésie, 2000
To compare surface and intramuscular laryngeal electromyography (EMG) with adductor pollicis muscle EMG after 0.1 mgxkg(-1) cisatracurium.This prospective study included ten patients undergoing surgery with risk of damage to the recurrent laryngeal nerve (RLN). The tracheas were intubated after fentanyl/propofol without the aid of muscle relaxation.
T M, Hemmerling   +4 more
openaire   +2 more sources

Tremor Analysis Using Surface Electromyography: Is It Required?

open access: yesCerrahpaşa Medical Journal
Objective: In this study, we aimed to compare the role of clinical examination and the contribution of surface electromyography in a population of patients with tremor.
Tuba Akıncı   +3 more
doaj   +1 more source

Surface Electromyography-Based Action Recognition and Manipulator Control

open access: yesApplied Sciences, 2020
To improve the quality of lives of disabled people, the application of intelligent prosthesis was presented and investigated. In particular, surface Electromyography (sEMG) signals succeeded in controlling the manipulator in human–machine interface, due ...
Tianao Cao   +4 more
doaj   +1 more source

The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals

open access: yesSensors
Interest in developing techniques for acquiring and decoding biological signals is on the rise in the research community. This interest spans various applications, with a particular focus on prosthetic control and rehabilitation, where achieving precise ...
Aly Medhat Moslhi   +2 more
doaj   +1 more source

Optimal Wavelet Filter for De-noising Surface Electromyographic Signal Captured From Biceps Brachii Muscle [PDF]

open access: yesEngineering and Technology Journal, 2015
This paper presents a study on finding an optimal wavelet filter for denoTsing surface electromyography signal, the surface electromyography signal was captured from the biceps brachii muscle of the human arm, This signal was stored in a one-dimensional ...
Eyad I. Abbas   +2 more
doaj   +1 more source

How to Work with Electromyography Decomposition in Practical Classes of Exercise Physiology and Biomechanics

open access: yesLife, 2022
Concepts about motor unit recruitment are important learning contents in exercise physiology and biomechanics classes that are usually taught theoretically.
Jose I. Priego-Quesada   +4 more
doaj   +1 more source

Surface electromyography in orthodontics – a literature review [PDF]

open access: yesMedical Science Monitor, 2013
Electromyography is the most objective and reliable technique for evaluating muscle function and efficiency by detecting their electrical potentials. It makes it possible to assess the extent and duration of muscle activity. The main aim of surface electromyography is to detect signals from many muscle fibers in the area of the detecting surface ...
WoŸniak, Krzysztof   +3 more
openaire   +2 more sources

Activity Evaluation of Facial Muscles by Surface Electromyography

open access: yesPlastic and Reconstructive Surgery, Global Open, 2020
Background:. Surface electromyography (sEMG) is an easy, noninvasive, and reproducible way to assess spontaneous electrical activity of muscles in real time. In this study, we report data on the correlation between sEMG and mimetic muscle activity during
Nicolò Bertozzi, MD   +3 more
doaj   +1 more source

Use of spatial information in 2D SEMG array decomposition [PDF]

open access: yes, 2007
A new feature extraction/classification method for High Density surface ElectroMyoGraphy (HD sEMG) Motor Unit Aciton Potential (MUAP) decomposition using 2D shape and energy distribution features is presented and experimentally tested ...
Hermens, H., Kallenberg, L., Smit, C.T.
core   +2 more sources

Home - About - Disclaimer - Privacy