Results 21 to 30 of about 9,497 (203)

EVALUATION OF THE OCCLUSION WITH TWO DIFFERENT METHODS: A T-SCAN II OCCLUSAL ANALYSIS AND THE TEETHAN SYNCHROMYOGRAPHY RECORDING SYSTEM [PDF]

Journal of IMAB
The article presents a case of a sixty-seven-year-old female patient who complains of an uncomfortable bite after full-mouth rehabilitation three months ago. Before inserting the crowns, the patient did not have any complaints.
Vladimir Bogdanov, Ivan Chakalov
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Comparison of resting masticatory muscle activity among women of different ages

Journal of Education, Health and Sport, 2018
Background: Surface electromyography is one of the test methods allowing to evaluate the bioelectric activity of muscles using the excitability of some tissues.
Grzegorz Zieliński, Aleksandra Byś, Zuzanna Filipiak, Michał Baszczowski, Michał Ginszt, Marta Suwała, Jacek Szkutnik, Piotr Majcher   +7 more
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A Dynamic Procedure to Detect Maximum Voluntary Contractions in Low Back

Sensors, 2023
Surface electromyography (sEMG) is generally used to measure muscles’ activity. The sEMG signal can be affected using several factors and vary among individuals and even measurement trials. Thus, to consistently evaluate data among individuals and trials,
Xun Wang, Karla Beltran Martinez, Ali Golabchi, Mahdi Tavakoli, Hossein Rouhani   +4 more
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Surface Electromyography Thresholds as a Measure for Performance Fatigability During Incremental Cycling in Patients With Neuromuscular Disorders

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, Nicoline B. M. Voet, Christiaan G. J. Saris, Dick H. J. Thijssen, Vincent Bastiaans, David E. Sluijs, Mariska M. H. P. Janssen, Mariska M. H. P. Janssen   +7 more
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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, Aleksandra Byś, Michał Baszczowski, Michał Ginszt, Marta Suwała, Jacek Szkutnik, Piotr Majcher   +6 more
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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, Graßhoff Jan, Hansen Lasse, Bellani Giacomo, Heinrich Mattias P., Rostalski Philipp   +5 more
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Surface Electromyography Normalization Affects the Interpretation of Muscle Activity and Coactivation in Children With Cerebral Palsy During Walking

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, Yngvild Gagnat, Siri Merete Brændvik, Siri Merete Brændvik, Karin Roeleveld, Karin Roeleveld   +5 more
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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 Sabin Copaci, Janeth Arias, Marcos Gómez-Tome, Luis Moreno 0001, Dolores Blanco   +4 more
openaire   +5 more sources

MLP ve SVM Makine Öğrenme Modelleri Kullanarak Robotik El Kontrolü

Gazi Üniversitesi Fen Bilimleri Dergisi
Biyolojik sinyallere dayalı robotik el kontrol sistemleri hareket analizinin doğruluğunu, sağlamlığını ve doğallığını iyileştirmeyi amaçlamaktadır. Makalede parmak hareketlerinin sınıflandırılmasını ve öznitelik değişkenlerini kullanarak hareket tahmini ...
İsmail Mersinkaya , Ahmet Reşit Kavsaoğlu, Kerim Özkara   +2 more
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A 3DCNN-LSTM Hybrid Framework for sEMG-Based Noises Recognition in Exercise

IEEE Access, 2020
Recently, surface electromyography (sEMG) has been used to detect running-related works. sEMG provides a non-invasive and real-time method that allows quantification of muscle energy.
Min-Wen Lin, Shanq-Jang Ruan, Ya-Wen Tu
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