Results 41 to 50 of about 39,692 (260)
Simultaneous sEMG Recognition of Gestures and Force Levels for Interaction With Prosthetic Hand
IEEE transactions on neural systems and rehabilitation engineering, 2022 The natural interaction between the prosthetic hand and the upper limb amputation patient is important and directly affects the rehabilitation effect and operation ability. Most previous studies only focused on the interaction of gestures but ignored the
Bin Fang +7 more
semanticscholar +1 more source
Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
Current Directions in Biomedical Engineering, 2019 This work investigates the performance of eventsynchronous noise cancelling algorithms to separate ECG artifacts from thoracic EMG recordings. In focus are the precise detection of heart beats, the exact time alignment of the QRS segments and the ...
Kahl Lorenz, Hofmann Ulrich G.
doaj +1 more source
Voiceless Bangla vowel recognition using sEMG signal [PDF]
SpringerPlus, 2016 Some people cannot produce sound although their facial muscles work properly due to having problem in their vocal cords. Therefore, recognition of alphabets as well as sentences uttered by these voiceless people is a complex task. This paper proposes a novel method to solve this problem using non-invasive surface Electromyogram (sEMG).
Mostafa, S. S. +3 more
openaire +3 more sources
EVALUATION OF THE OCCLUSION WITH TWO DIFFERENT METHODS: A T-SCAN II OCCLUSAL ANALYSIS AND THE TEETHAN SYNCHROMYOGRAPHY RECORDING SYSTEM [PDF]
Journal of IMABThe 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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Detection of intention level in response to task difficulty from EEG signals [PDF]
, 2013 We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Cetin, Mujdat +7 more
core +1 more source
Research on sEMG Based gesture recognition by dual-view deep learning
IEEE Access, 2022 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 ...
Yan Zhang +4 more
semanticscholar +1 more source
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 +4 more
doaj +1 more source
Use of spatial information in 2D SEMG array decomposition [PDF]
, 2007 A new feature extraction/classification method for High Density surface ElectroMyoGraphy (HD sEMG) Motor Unit Aciton Potential (MUAP) decomposition using 2D shape and energy distribution features is presented and experimentally tested ...
Hermens, H., Kallenberg, L., Smit, C.T.
core +7 more sources
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 +7 more
doaj +1 more source
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