Manual analysis of electrocardiogram (ECG) signals is a laborious and prone-to-error task,
even for a specialist with many hours of experience. For this reason, research on automatic …

Due to high dimensionality and multiple variables, unsupervised classification of 12-lead
ECG signals involves challenges and difficulties. In order to automatically discover unknown …

The aims of this study were to apply decision tree to classify uterine activities (contractions
and non-contractions) using the waveform characteristics derived from different channels of …

Goal of this study is to develop an objective assessment of the severity of the physical status
of the wounded combatants based on ECG records using the system of comprehensive ECG …

The automatic and accurate arrhythmia diagnosis in the electrocardiogram (ECG) signals is
significant for cardiac health. Typically, the arrhythmia diagnosis is automatically detected …

An Electrocardiogram (ECG) is defined as a test that is performed on the heart to detect any
abnormalities in the cardiac cycle. Automatic classification of ECG has evolved as an …

Electrocardiogram (ECG) signal is the electrical activity of the human heart. The ECG
contains important information about the overall performance of the human cardiac system …

This chapter presents a cardiac arrhythmia classification method that is based on the fuzzy
logic controller (FLC) and the genetic algorithm (GA). Firstly, the baseline shift is removed …

Data mining procedures are utilized to extract meaningful information for effective
knowledge discovery. Decision tree, a classification method, is an efficient method for …

Hyperkalaemia is the medical terminology for a blood potassium level above normal
parameters (greater than 5.5 mmol). This can have a variety of causes; however, patients …