Results 11 to 20 of about 17,689 (224)

A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior. [PDF]

open access: yesPLoS ONE, 2017
This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated
Diptasree Maitra Ghosh   +4 more
doaj   +1 more source

sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training

open access: yesSensors, 2022
The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems of insufficient physiological information and unsatisfactory safety performance in the compliance control strategy for the lower limb rehabilitation ...
Junjie Tian   +6 more
doaj   +1 more source

The Evaluation of Facial Muscles by Surface Electromyography in Very Preterm Infants

open access: yesBiomedicines, 2022
Background: It is reported that 40% of preterm infants have problems with eating. Neonatal feeding disorders may be one of the factors increasing neonatal mortality.
Oskar Komisarek   +10 more
doaj   +1 more source

Muscle modifications in fibromyalgic patients revealed by surface electromyography (SEMG) analysis [PDF]

open access: yesBMC Musculoskeletal Disorders, 2009
Several studies have been carried out in order to investigate surface electromyography (SEMG) response on fibromyalgic (FM) patients. Some studies failed to demonstrate differences between FM patients and healthy individuals while others found differences in SEMG parameters.
BAZZICHI L   +9 more
openaire   +4 more sources

Recent advances in flexible noninvasive electrodes for surface electromyography acquisition

open access: yesnpj Flexible Electronics, 2023
Surface electromyography (sEMG) is used to detect and analyze human muscle biopotential. Recently, flexible noninvasive electrodes (FNEs) have emerged to extract bioelectrical signals from individual bodies. For FNEs to be deployed as a central component
Lian Cheng   +3 more
doaj   +1 more source

Stand-alone wearable system for ubiquitous real-time monitoring of muscle activation potentials [PDF]

open access: yes, 2018
Wearable technology is attracting most attention in healthcare for the acquisition of physiological signals. We propose a stand-alone wearable surface ElectroMyoGraphy (sEMG) system for monitoring the muscle activity in real time.
Bianchini, E.   +6 more
core   +2 more sources

Surface electromyography study on asymmetry in paravertebral muscle degeneration in patients with degenerative lumbar scoliosis

open access: yesScientific Reports, 2022
The asymmetry of paravertebral muscle (PVM) degeneration in degenerative lumbar scoliosis (DLS) patients has been extensively studied by imaging and histological examination and has not yet been verified by surface electromyography (sEMG) techniques.
Hongru Xie   +6 more
doaj   +1 more source

Multi channels sEMG-based joint angles estimation of lower limbs utilizing bidirectional recurrent neural network [PDF]

open access: yesInternational Journal of Industrial Electronics, Control and Optimization, 2021
Nowadays, rehabilitative robots that have received more attention in the field of rehabilitation can help patients in the rehabilitation training and reduce therapist workload.
Rohollah Hasanzadeh Fereydooni   +3 more
doaj   +1 more source

Estimation of muscular forces from SSA smoothed sEMG signals calibrated by inverse dynamics-based physiological static optimization [PDF]

open access: yes, 2016
The estimation of muscular forces is useful in several areas such as biomedical or rehabilitation engineering. As muscular forces cannot be measured in vivo non-invasively they must be estimated by using indirect measurements such as surface ...
Alonso Sánchez, Francisco Javier   +4 more
core   +1 more source

Simultaneous Estimation of Hand Joints’ Angles Toward sEMG-Driven Human–Robot Interaction

open access: yesIEEE Access, 2022
Human beings have very dexterous hands which help us manipulate a lot of complicated tools. But most researches focus on gesture recognition. This situation leads to the phenomenon that our prosthetic hands lack continuous and natural movement.
Wang Hai   +3 more
doaj   +1 more source

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