With the alarming rise in the deaths due to cardiovascular diseases (CVD), present medical
research scenario places notable importance on techniques and methods to detect CVDs …

The R-peak detection is crucial in all kinds of electrocardiogram (ECG) applications.
However, almost all existing R-peak detectors suffer from the non-stationarity of both QRS …

This paper proposes a simple and reliable method termed the Difference Operation Method
(DOM) to detect the QRS complex of an electrocardiogram (ECG) signal. The proposed …

In this paper, we propose a new automated quality-aware electrocardiogram (ECG) beat
classification method for effective diagnosis of ECG arrhythmias under unsupervised …

Objective: In this paper, a stacked autoencoder deep neural network is proposed to extract
the QRS complex from raw ECG signals without any conventional feature extraction phase …

Detection of QRS complexes in ECG signals is required to determine heart rate, and it is an
important step in the study of cardiac disorders. ECG signals are usually affected by noise of …

In this paper, we present a reliable and efficient automatic R-wave detection based on new
nonlinear transformation and simple peak-finding strategy. The detection algorithm consists …

Image processing is playing a very important role in medical imaging with its versatile
applications and features towards the development of computer aided diagnostic systems …

Cardiovascular diseases are associated with high morbidity and mortality. However, it is still
a challenge to diagnose them accurately and efficiently. Electrocardiogram (ECG), a …

The developments and applications of wireless body area networks (WBANs) for healthcare
and remote monitoring have brought a revolution in the medical research field. Numerous …