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Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.04.545
Abstract: Introduction It is estimated that 25% of patients previously diagnosed with epilepsy who are not responding to anti-epileptic drugs are found to have psychogenic non-epilepsy seizures (PNES). Using frequency and amplitude analyses, the utility of…
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Keywords:
gtcs pnes;
frequency;
differentiate;
low frequency ... See more keywords
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Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105003
Abstract: BACKGROUND AND OBJECTIVE Falls are the leading cause of fatal and non-fatal injuries among seniors worldwide. While laboratory evidence supports the view that impaired ability to execute compensatory balance responses (CBRs) is linked to an…
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Keywords:
detect lateral;
features detect;
compensatory balance;
cross ... See more keywords
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Published in 2019 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2019.04.007
Abstract: Abstract A VR real-time control system based on wireless sEMG was designed. The scene in VR was the kitchen at home. The system included sEMG acquisition module, software control module and VR environment module. The…
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Keywords:
control;
semg;
kitchen;
identification ... See more keywords
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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-50112-4
Abstract: To achieve robust sEMG measurements in an EMG prosthetic system, this study proposes a surface electromyogram (sEMG) sensor with a novel electrode structure composed of two-layered conductive silicone with different carbon concentrations. We hypothesized there…
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Keywords:
silicone;
carbon;
semg sensor;
carbon concentrations ... See more keywords
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Published in 2019 at "Assembly Automation"
DOI: 10.1108/aa-11-2017-148
Abstract: Purpose This paper aims to develop a signal acquisition system of surface electromyography (sEMG) and use the characteristics of (sEMG) signal to interference action pattern. Design/methodology/approach This paper proposes a fusion method based on combining…
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Keywords:
system;
recognition rate;
semg;
action ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941977
Abstract: In recent years, the analysis of surface electromyography (sEMG) signals by feature engineering and machine learning has developed rapidly. However, when feature engineering is applied to feature extraction of sEMG signals, important feature information in…
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Keywords:
secondary classifier;
accuracy;
classifier;
semg ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3158667
Abstract: In the field of human-machine interaction, gesture recognition using sparse multichannel surface electromyography (sEMG) remains a challenge. Based on the Hilbert filling curve, a dual-view multi-scale convolutional neural network (DVMSCNN) is designed to enhance gesture…
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Keywords:
dual view;
semg;
gesture recognition;
recognition ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166885
Abstract: The way of living of many individuals around the world endures because of mental and physical disability associated with the movement of limbs. The usage of the assistive technology and systems will enhance the quality…
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Keywords:
classification;
semg;
signal processing;
learning signal ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3212046
Abstract: 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…
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Keywords:
estimation;
hand;
regression model;
semg ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3197831
Abstract: The pattern recognition (PR) based on surface electromyography (sEMG) could improve the quality of daily life of amputees. However, the lack of robustness and adaptability hinders its practical application. To realize the long-term reliability and…
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Keywords:
domain adaptation;
adaptability;
robustness adaptability;
semg ... See more keywords
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Published in 2023 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3263877
Abstract: The gold standard for dysphagia detection is the videofluoroscopic swallowing study (VFSS), which is the expensive equipment, radioactive, and carries the risk of inadvertent aspiration of contrast agents. Surface electromyography (sEMG) provides low-cost, noninvasive access…
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Keywords:
high density;
self adhesive;
semg;
sensor ... See more keywords