Electrocardiograms (ECGs) play a vital role in the clinical diagnosis of heart diseases. An
ECG record of the heart signal over time can be used to discover numerous arrhythmias. Our …

The electrocardiogram (ECG) plays an imperative role in the medical field, as it records
heart signal over time and is used to discover numerous cardiovascular diseases. If a …

The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

One of the major reasons of death worldwide is Cardiovascular diseases. One of its type is
Arrhythmia in which normal rhythm of heart is varied due to damage in heart muscles and …

The paper proposes a new approach to heart activity diagnosis based on Gram polynomials
and probabilistic neural networks (PNN). Heart disease recognition is based on the analysis …

In the realm of medical data processing, particularly in the diagnosis and monitoring of
cardiac diseases, the analysis of Electrocardiogram (ECG) signals represents a critical …

Background Health monitoring is shifting towards continuous, ambulatory and clinically
comparable wearable devices. Telemedicine and remote diagnosis could harness the …

ECG beats have a key role in the reduction of fatality rate arising from cardiovascular
diseases (CVDs) by using Arrhythmia diagnosis computer-aided systems and get the …

This paper presents an explainable, low-complexity binary electrocardiogram (ECG)
classifier to be deployed in a resource-limited wearable edge device. The presented …

In this paper, a new motion artifact correction method is proposed based on multi-channel
functional near-infrared spectroscopy (fNIRS) signals. Recently, wavelet transform and …