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Surface Electromyography as a Natural Human–Machine Interface: A Review [PDF]
IEEE Sensors Journal, 2021 Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular potentials generated when the brain instructs the body to perform both fine and coarse locomotion.
Mingde Zheng +2 more
semanticscholar +1 more source
Application of Surface Electromyography in Exercise Fatigue: A Review
Frontiers in Systems Neuroscience, 2022 Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries.
Jiaqi Sun +5 more
semanticscholar +1 more source
Electrophysiological Characteristics of Cervical Spinal Stenosis
Applied Bionics and Biomechanics, 2022 Objective. To investigate electrophysiological characteristics of patients with cervical spinal stenosis (CSS) due to cervical disc herniation. Methods.
Yanrong Wang +6 more
doaj +1 more source
Afterdischarges in Myasthenia Gravis
Frontiers in Neurology, 2021 Introduction: This study aimed to analyze the clinical features of myasthenia gravis (MG) in combination with the afterdischarges and compare the characteristics of afterdischarges in MG with different serum antibodies.Methods: Ninety-two patients with ...
Li Yang, Shougang Guo, Xiuying Chen
doaj +1 more source
Bioscience Journal, 2018 The muscle co-contraction is a phenomenon characterized by the simultaneous contraction of two or more muscles around a joint. The objective of this study was to compare the antagonist co-contraction of the local and global trunk muscles during side ...
Frederico Balbino Lizardo +7 more
doaj +3 more sources
Proprioceptive exercise with bosu maximizes electromyographic activity of the ankle muscles
Bioscience Journal, 2017 Ankle sprains are commonly related to sporty activities and often associated with decreases in sensorimotor control, including proprioception, muscle strength and balance.
Frederico Balbino Lizardo +7 more
doaj +3 more sources
Italian 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
FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography [PDF]
IEEE 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
Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals
Italian 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
Utilization of electromyography during selective obturator neurotomy to treat spastic cerebral palsy accompanied by scissors gait [PDF]
Journal 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
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