Results 11 to 20 of about 137,764 (342)

FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography [PDF]

open access: yesIEEE transactions on neural systems and rehabilitation engineering, 2020
This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their widespread applications in human-machine interfaces. DNNs have been recently used for detecting the intended hand gesture through the processing of surface ...
E. Rahimian   +5 more
semanticscholar   +1 more source

Brachial and lumbosacral plexopathies: A review

open access: yesClinical Neurophysiology Practice, 2020
Diseases of the brachial and lumbosacral plexus are uncommon and complex. The diagnosis of plexopathies is often challenging for the clinician, both in terms of localizing a patient’s symptoms to the plexus as well as determining the etiology.
Devon I. Rubin
doaj   +1 more source

Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review

open access: yesItalian National Conference on Sensors, 2020
Today, daily life is composed of many computing systems, therefore interacting with them in a natural way makes the communication process more comfortable. Human–Computer Interaction (HCI) has been developed to overcome the communication barriers between
Andrés Jaramillo-Yánez   +2 more
semanticscholar   +1 more source

Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals

open access: yesItalian National Conference on Sensors, 2020
By training the deep neural network model, the hidden features in Surface Electromyography(sEMG) signals can be extracted. The motion intention of the human can be predicted by analysis of sEMG.
Lin Chen   +4 more
semanticscholar   +1 more source

A study of uterine inertia on the spontaneous of labor using uterine electromyography

open access: yesTaiwanese Journal of Obstetrics & Gynecology, 2021
Objective: The purpose of this study is to analyze uterine electromyography burst patterns in patients with spontaneous labor and patients with uterine inertia.
Pin Li   +5 more
doaj   +1 more source

Utilization of electromyography during selective obturator neurotomy to treat spastic cerebral palsy accompanied by scissors gait [PDF]

open access: yesJournal of Integrative Neuroscience, 2019
Selective obturator neurotomy is a commonly used neurosurgical intervention for spastic cerebral palsy with scissors gait. Here we report the use of surface electromyography to assess the accuracy and effect of selective obturator neurotomy procedures ...
Songtao Ren, Weidong Liu, Li Wang, Changli Guo, Qi Pang
doaj   +1 more source

A long non-coding RNA, HOTAIR, promotes cartilage degradation in osteoarthritis by inhibiting WIF-1 expression and activating Wnt pathway

open access: yesBMC Molecular and Cell Biology, 2020
Background Long noncoding RNAs (lncRNAs) are recently found to be critical regulators of the epigenome. However, our knowledge of their role in osteoarthritis (OA) development is limited.
Yang Yang   +5 more
doaj   +1 more source

Validity of Estimation of Pelvic Floor Muscle Activity from Transperineal Ultrasound Imaging in Men. [PDF]

open access: yesPLoS ONE, 2015
To investigate the relationship between displacement of pelvic floor landmarks observed with transperineal ultrasound imaging and electromyography of the muscles hypothesised to cause the displacements.Three healthy men participated in this study, which ...
Ryan E Stafford   +3 more
doaj   +1 more source

A retrospective case series of segmental zoster paresis of limbs: clinical, electrophysiological and imaging characteristics

open access: yesBMC Neurology, 2018
Background Segmental zoster paresis (SZP) of limbs, characterized by focal weakness of extremity, is recognized as a rare complication of herpes zoster (HZ). The following study analyzes the clinical characteristics and data from electromyography and MRI
Ying Liu   +6 more
doaj   +1 more source

Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

open access: yesFront. Neurorobot., 2016
Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and ...
M. Atzori   +2 more
semanticscholar   +1 more source

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