Results 31 to 40 of about 29,904 (258)
Review of sEMG for Robot Control: Techniques and Applications
Applied Sciences, 2023 Surface electromyography (sEMG) is a promising technology that can capture muscle activation signals to control robots through novel human–machine interfaces (HMIs).
Tao Song +5 more
doaj +1 more source
Movement recognition via channel-activation-wise sEMG attention
Methods, 2023 ABSTRACTContextSurface electromyography (sEMG) signals contain rich information recorded from muscle movements and therefore reflect the user’s intention. sEMG has seen dominant applications in reha-bilitation, clinical diagnosis as well as human engineering, etc.
Jiaxuan Zhang +4 more
openaire +2 more sources
Frontiers in Physiology, 2022 In healthy persons, there is an excellent relation between the timing of the (two) surface electromyography (sEMG) thresholds and the (two) ventilatory thresholds during exercise. The primary aim of this study was to determine the relative timing of both
Nicoline B. M. Voet +7 more
doaj +1 more source
A quantitative taxonomy of human hand grasps [PDF]
, 2019 Background: A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on qualitative ...
Atzori, Manfredo +5 more
core +1 more source
sEMG-Based Gesture Classifier for a Rehabilitation Glove
Frontiers in Neurorobotics, 2022 Human hand gesture recognition from surface electromyography (sEMG) signals is one of the main paradigms for prosthetic and rehabilitation device control. The accuracy of gesture recognition is correlated with the control mechanism. In this work, a new classifier based on the Bayesian neural network, pattern recognition networks, and layer recurrent ...
Dorin Copaci +4 more
openaire +4 more sources
Influence of the quality of sleep on the masticatory muscle activity - a pilot study
Journal of Education, Health and Sport, 2018 Introduction: Modern literature indicates an uptrend in the occurrence of sleep disorders. Currently, about 30-40% of adults are suffering from sleep disorders, which makes them one of the most common health problems of the population.
Grzegorz Zieliński +6 more
doaj +1 more source
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
Current Directions in Biomedical Engineering, 2019 The electrical activity of the diaphragm (EAdi) is a novel monitoring parameter for patients under assisted ventilation and is used for assessing the patient’s neural respiratory drive. It is recorded by an array of electrodes placed inside the esophagus
Bockelmann Niclas +5 more
doaj +1 more source
Frontiers in Neurology, 2020 Investigating muscle activity and coactivation with surface electromyography (sEMG) gives insight into pathological muscle function during activities like walking in people with neuromuscular impairments, such as children with cerebral palsy (CP).
Yngvild Gagnat +5 more
doaj +1 more source
Research on the motion characteristic of elbow joint angle based on the sEMG of single muscle
Cogent Engineering, 2016 As the number of patients caused the stroke increase, there are many therapies applied to rehabilitation, but they lack scientific theoretical basis guidance.
Wei YuWei, He HanWu
doaj +1 more source
Research on rehabilitation assessment methods based on human gait and sEMG
Cogent Engineering, 2016 Based on the study of human gait, the rehabilitation assessment indicators which can comprehensively reflect the motor function of lower limbs are summed up, including muscle force, range of motion, stride length and gait speed.
Kun Chen +3 more
doaj +1 more source