Now showing items 1-6 of 6
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 ...
Colonic polyp classification using projection image and convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection ...
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 ...
A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans
Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In ...
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 ...
Determining Phase Duration of Scanning EMG Signals
There are more than one motor unit activities recorded simultaneously during scanning EMG recordings. It is not possible to determine the phase duration correctly by inspecting only one sweep. The other motor unit activities, ...