Results 41 to 50 of about 173,785 (311)

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization

De Computis, 2019
Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also ...
J. Too, A. Abdullah, N. Saad, Weihown Tee   +3 more
semanticscholar   +1 more source

Muscle Activity of Core Muscles During Plank Exercise on Different Surfaces

Türk Spor ve Egzersiz Dergisi, 2022
Determining the effects of different instability devices on core muscle activation gives important information for practitioners when prescribing strength exercises.
Ufuk Şekir, Huseyin Topçu, Serkan Pancar, Yakup Zühtü Birinci, Ali Kamil Güngör, Ramiz Arabacı   +5 more
doaj  

A cost deployment framework for Industry 5.0 in green supply Chains: Integrating AHP and Fuzzy-QFD with empirical validation from a Manufacturing case study

Cleaner Logistics and Supply Chain
The integration of Industry 5.0 technologies—such as AI, IoT, and collaborative robotics—into green supply chains offers potential for sustainability, resilience, and operational efficiency.
Sana Elhidaoui
doaj   +1 more source

Clinical Evaluation of Quality of Obturation and Instrumentation Time using Two Modified Rotary File Systems with Manual Instrumentation in Primary Teeth [PDF]

Journal of Clinical and Diagnostic Research, 2017
Introduction: Pulp therapy in primary teeth has been performed using various instrumentation techniques. However, the conventional instrumentation technique used for root canal preparation in primary teeth is hand instrumentation.
Lavanya Govindaraju, Ganesh Jeevanandan, EMG Subramanian   +2 more
doaj   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto, Umberto Pensato, Ilaria Casetta, Giorgio U. Marcello, Angelo Barra, Anna Poggesi, Edoardo Carlesi, Sara Mancini, Andrea Ginestroni, Vittorio Miele, Alessandro Padovani, Andrea Morotti, Enrico Fainardi   +12 more
wiley   +1 more source

Can Wavelet Denoising Improve Motor Unit Potential Template Estimation? [PDF]

Journal of Biomedical Physics and Engineering, 2020
Background: Electromyographic (EMG) signals obtained from a contracted muscle contain valuable information on its activity and health status. Much of this information lies in motor unit potentials (MUPs) of its motor units (MUs), collected during the ...
S H Hasanzadeh, H Parsaei, M M Movahedi
doaj   +1 more source

Gesture recognition by instantaneous surface EMG images

Scientific Reports, 2016
Gesture recognition in non-intrusive muscle-computer interfaces is usually based on windowed descriptive and discriminatory surface electromyography (sEMG) features because the recorded amplitude of a myoelectric signal may rapidly fluctuate between ...
Wei-dong Geng, Yu Du, Wenguang Jin, Wentao Wei, Yu Hu, Jiaju Li   +5 more
semanticscholar   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

EMG Pattern Recognition in the Era of Big Data and Deep Learning

Big Data and Cognitive Computing, 2018
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle “big data”.
A. Phinyomark, E. Scheme
semanticscholar   +1 more source

Changes in EMG–EMG Coherence During Hand Grasp Movements [PDF]

International Journal of Humanoid Robotics, 2014
It is challenging to recognize human hand grasp movements through electromyogram (EMG) signals. In this paper, EMG–EMG coherence measure is used to describe correlations of EMG recordings during different hand grasp movements. Meanwhile, linear discriminant analysis (LDA) is utilized to evaluate the performance of the EMG–EMG coherence measure for ...
Gaoxiang Ouyang, Zhaojie Ju, Honghai Liu 0001   +2 more
openaire   +2 more sources