Toplam kayıt 5, listelenen: 1-5
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 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 ...
Detection and conditioning of EMG
(IGI-Global Publications, 2014)
In this chapter, the monitoring of the electrical activity of skeletal muscles is depicted. The main components of the detection and conditioning of the EMG signals is explained in the sense of the biomedical instrumentation. ...
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 ...