[PDF][PDF] Classification of EMG signals for assessment of neuromuscular disorder using empirical mode decomposition and logistic regression

MU Khan, S Aziz, M Bilal, MB Aamir - … International Conference on …, 2019 - researchgate.net
The electromyographic (EMG) signal generated in muscle fibers has been the topic under
substantial research in immediate past years as it provides fairly large amount of information …

Artificial Cognition to Predict and Explain the Potential Unsafe Behaviors of Construction Workers

S Deng, P Ni, H Zhu, Y Cai, Y Pan - Journal of Construction …, 2024 - ascelibrary.org
Unsafe behavior is considered the primary cause of construction safety accidents. However,
the main measures for unsafe behavior management are real-time monitoring and postevent …

A hybrid classification model for EMG signals using grey wolf optimizer and SVMs

E Elhariri, N El-Bendary, AE Hassanien - … 28-30, 2015, Beni Suef, Egypt, 2016 - Springer
Electromyography (EMG) signal is an electrical indicator for neuromuscular activation. It
provides direct access to physiological processes enabling the muscle to generate force and …

Bio-inspired optimization for feature set dimensionality reduction

E Elhariri, N El-Bendary… - 2016 3rd International …, 2016 - ieeexplore.ieee.org
In this paper, two novel bio-inspired optimization algorithms; namely Dragonfly Algorithm
(DA) and Grey Wolf Optimizer (GWO), have been applied for fulfilling the goal of feature set …

The Use of Surface Electromyography in Muscle Fatigue Assessments–A Review

NA Kamaruddin, PI Khalid, AZ Shaameri - Jurnal Teknologi, 2015 - journals.utm.my
The developments in physiological studies have established the importance of muscle
fatigue estimation in various aspects including neurophysiological and medical research …

[PDF][PDF] Chaos based quantitative electro-diagnostic marker for diagnosis of myopathy, neuropathy and motor neuron disease

S Samanta - Archivos De Medicina, 2017 - researchgate.net
Background: Myopathies (MYO) are a group of disorders in which the muscle fibers do not
function for any one of many reasons, resulting in muscular weakness and/or muscle …

[引用][C] Detection Signal Electromyograpy using Dry Electrode and Disposible Electrodes on the Upper Extremity when Lifting Weights

F Amrinsani, LF Wakidi… - Indonesian …, 2022 - ijeeemi.poltekkesdepkes-sby.ac.id
One of the biosignals used to identify human muscle impulses is electromyography.
Electromyographic signals are frequently utilized as inputs and are designed to help …

Classification of Myopathy and Normal Electromyogram (EMG) Data with a New Deep Learning Architecture

E Tuncer, ED Bolat - Balkan Journal of Electrical and Computer … - dergipark.org.tr
Electromyograms (EMG) are recorded movements of nerves and muscles that help
diagnose muscles and nerve-related disorders. It is frequently used in the diagnosis of …

[PDF][PDF] Modelling capacitive-coupled electromanetic interference for electromyography sensors on upper limb amputees

DY Ambelal - 2021 - wiredspace.wits.ac.za
Prosthetics are used to substitute for the missing limb sections to aid the amputee's mobility
and quality of life. The shift towards electromyography (EMG)-controlled hand prosthetics …

Multifractal analysis of electromyography data

D Ghosh, S Samanta, S Chakraborty, D Ghosh… - Multifractals and Chronic …, 2019 - Springer
Myopathies (MYO) are a group of disorders where malfunction of muscle fibers occurs for a
number of reasons which results in a muscular dysfunction manifesting weakness of …