Now showing items 1-7 of 7
New features for scanned bioelectrical activity of motor unit in health and disease
The present study aims to find new features that support the differential diagnosis of neuromuscular diseases. Scanning EMG is an experimental method developed for understanding the motor unit organization and for observing ...
The effect of recording site on extracted features of motor unit action potential
Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and ...
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ...
Feature Extraction and Classification of Neuromuscular Diseases Using Scanning EMG
In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum ...
Classification of Neuromuscular Junction and Tendon Recordings of Neuromuscular Diseases by Their Spectrogram
In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. ...
Classification of Neuromuscular Diseases in Neuromuscular Junction and Tendon Recordings with Needle EMG by Using Welch's Method
In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's ...