Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures [PDF]
Data in Brief, 2022 This paper presents an electromyography (EMG) signal dataset for use in human-computer interaction studies. The dataset includes 4-channel surface EMG data from 40 participants with an equal gender distribution.
Mehmet Akif Ozdemir +3 more
doaj +5 more sources
A Surface Electromyography (sEMG) System Applied for Grip Force Monitoring [PDF]
SensorsMuscles play an indispensable role in human life. Surface electromyography (sEMG), as a non-invasive method, is crucial for monitoring muscle status.
Dantong Wu +13 more
doaj +4 more sources
Oxygen Consumption (VO<sub>2</sub>) and Surface Electromyography (sEMG) during Moderate-Strength Training Exercises. [PDF]
Int J Environ Res Public Health, 2022 Oxygen consumption (VO2) during strength training can be predicted through surface electromyography (sEMG) of local muscles. This research aimed to determine relations between VO2 and sEMG of upper and lower body muscles to predict VO2 from sEMG during moderate-intensity strength training exercises.
Adeel M +7 more
europepmc +4 more sources
Improved Network and Training Scheme for Cross-Trial Surface Electromyography (sEMG)-Based Gesture Recognition. [PDF]
Bioengineering (Basel), 2023 To enhance the performance of surface electromyography (sEMG)-based gesture recognition, we propose a novel network-agnostic two-stage training scheme, called sEMGPoseMIM, that produces trial-invariant representations to be aligned with corresponding hand movements via cross-modal knowledge distillation.
Dai Q +4 more
europepmc +4 more sources
Reliability of pelvic floor muscle surface electromyography (sEMG) recordings during synchronous whole body vibration. [PDF]
PLoS One, 2021 The primary aim of the study was to assess intraday and interday reliability of surface electromyography (sEMG) reflex activity of the pelvic floor muscles during synchronous whole-body vibration (S-WBV) of two intensities (30Hz/2mm; 40Hz/4mm) using band-stop filter and high-pass filter signal processing.
Chmielewska D +4 more
europepmc +5 more sources
Micromachines, 2022 Wearable devices based on surface electromyography (sEMG) to detect muscle activity can be used to assess muscle strength with the development of hand rehabilitation applications.
Chang Liu +4 more
doaj +1 more source
Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling
Physiological Reports, 2022 Muscle co‐contraction between the agonist and antagonist muscles often causes low energy efficiency or movement disturbances. Surface electromyography biofeedback (sEMG‐BF) has been used to train muscle activation or relaxation but it is unknown whether ...
Benio Kibushi, Junichi Okada
doaj +1 more source
Frontiers in Bioengineering and Biotechnology, 2022 The Hill muscle model can be used to estimate the human joint angles during continuous movement. However, adopting this model requires the knowledge of many parameters, such as the length and speed of contraction of muscle fibers, which are liable to ...
Lei Zhang +4 more
doaj +1 more source
Editorial: Surface Electromyography: Barriers Limiting Widespread Use of sEMG in Clinical Assessment and Neurorehabilitation [PDF]
Frontiers in Neurology, 2021 Published by Frontiers Research Foundation ...
Merletti, Roberto +3 more
openaire +4 more sources
A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior. [PDF]
PLoS 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