In this paper, a novel method is proposed to build an ensemble of classifiers by using a
feature selection schema. The feature selection schema identifies the best feature sets that …

Health problems, directly or indirectly caused by cardiac arrhythmias, may threaten life. The
analysis of electrocardiogram (ECG) signals is an important diagnostic tool for assessing …

In this paper, we proposed an algorithm for arrhythmia classification, which is associated
with the reduction of feature dimensions by linear discriminant analysis (LDA) and a support …

An arrhythmia is commonly deemed as a life-threatening disease. It is better to detect
symptoms of arrhythmia earlier, as this can be more beneficial for relevant treatment …

Construction of an ensemble model is a process of combining many diverse base predictive
learners. It arises questions of how to weight each model and how to tune the parameters of …

Arrhythmia, a common form of heart disease, can be detected from an electrocardiogram
(ECG) signal. This research work presents a comparative study between five feature …

This paper presents an effective electrocardiogram (ECG) arrhythmia classification scheme
consisting of a feature reduction method combining principal component analysis (PCA) with …

Objective: This paper proposes a knowledge-based method for arrhythmic beat
classification and arrhythmic episode detection and classification using only the RR-interval …

In this paper, we propose a pattern recognition algorithm for arrhythmia recognition.
Irregularity in the electrical activity of the heart (arrhythmia) is one of the leading reasons for …

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application or a potential application of the work. This section is not mandatory. Abstract The …