A review of EMG techniques for detection of gait disorders

RE Singh, K Iqbal, G White… - … intelligence-applications in …, 2019 - books.google.com
Electromyography (EMG) is a commonly used technique to record myoelectric signals, ie,
motor neuron signals that originate from the central nervous system (CNS) and …

Neuromuscular disorders detection through time-frequency analysis and classification of multi-muscular EMG signals using Hilbert-Huang transform

JR Torres-Castillo, CO Lopez-Lopez… - … Signal Processing and …, 2022 - Elsevier
Electromyographic (EMG) signal analysis plays a vital role in diagnosing neuromuscular
disorders (NMD). It is based on the clinician's experience in interpreting the signal's shape …

Non-integer order filtration of electromyographic signals

J Baranowski, P Piątek, A Kawala-Janik… - Advances in Modelling …, 2015 - Springer
Electromyography (EMG) is recently of growing interest of doctors and scientists as it
provides a tool for muscle performance verification. In this paper a new approach to EMG …

[PDF][PDF] Innovative approach in signal processing of electromyography signals

A Kawala-Janik, M Podpora… - J. Combat Sport. Martial …, 2014 - academia.edu
Introduction. In this paper an innovative approach in analysis of Electromyography (EMG)
signals was presented together with its potential implementation for the purpose of HMI …

[PDF][PDF] Development of an Interface for Rehabilitation Based on the EMG Signal for the Control of the Ankle Exoskeleton T-FLEX

CAC Guarnizo, MCM Ramírez, CAC García - 2021 - repository.urosario.edu.co
Stroke is the second leading cause of death and third of disability, and 75% of individuals
who sustain a stroke each year experience limitations in mobility-related to walking …

A novel machine learning approach based on fast multi-scale hybrid wavelet network for supporting diagnosis of neuromuscular disorders

I Abdennaji, U Munawar… - … Conference on Machine …, 2022 - spiedigitallibrary.org
Electromyography (EMG) is the most used clinical and biological signal, which is an
essential element for detecting several neurodegenerative and neuromuscular disorders …

Development of an Interface for Rehabilitation Based on the EMG Signal for the Control of the Ankle Exoskeleton T-FLEX

CA Castellanos Guarnizo - 2021 - repositorio.escuelaing.edu.co
(Eng) Stroke is the second leading cause of death and third of disability, and 75% of
individuals who sustain a stroke each year experience limitations in mobility-related to …

Identification of femoral-acetabular symptoms using semg signals during dynamic contraction

Z Karimi Tabar - 2014 - repository.library.carleton.ca
This thesis focuses on development of an algorithm that automatically identifies a
Femoroacetabular Impingement patient from a healthy control person by comparing their …

Neurophysiological Characterization of a Non-Human Primate Model of Spinal Cord Injury Utilizing Intramuscular Electromyography

F Masood - 2020 - atrium.lib.uoguelph.ca
The lack of a valid non-human primate (NHP) model of spinal cord injury (SCI) and a robust
assessment tool are the key reasons behind the low rate of successful clinical trials for the …

[PDF][PDF] Clasificación de senales EMG empleando caracterısticas tiempo-frecuencia para el diagnóstico de desórdenes neuromusculares

MAP Castaneda - 2018 - ru.dgb.unam.mx
La electromiografıa (EMG) es una técnica de recolección de senales eléctricas producidas
por la contracción de los músculos esqueléticos del cuerpo humano. Los impulsos …