A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases

PM Tripathi, A Kumar, R Komaragiri… - Archives of Computational …, 2022 - Springer
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …

From pacemaker to wearable: techniques for ECG detection systems

A Kumar, R Komaragiri, M Kumar - Journal of Medical Systems, 2018 - Springer
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 …

[图书][B] Design of CMOS analog integrated fractional-order circuits: applications in medicine and biology

This book describes the design and realization of analog fractional-order circuits, which are
suitable for on-chip implementation, capable of low-voltage operation and electronic …

[HTML][HTML] Dynamic analysis of a fractional order prey–predator interaction with harvesting

M Javidi, N Nyamoradi - Applied mathematical modelling, 2013 - Elsevier
In recent years, prey–predator models appearing in various fields of mathematical biology
have been proposed and studied extensively due to their universal existence and …

Parallel-type fractional zero-phase filtering for ECG signal denoising

J Wang, Y Ye, X Pan, X Gao - Biomedical Signal Processing and Control, 2015 - Elsevier
In this paper, a parallel-type fractional zero-phase filtering technique based on the center
Grünwald–Letnikov differintegrator is proposed. We first present a left and a right Grünwald …

An efficient and robust digital fractional order differentiator based ECG pre-processor design for QRS detection

C Nayak, SK Saha, R Kar… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper presents an efficient infinite impulse response type digital fractional order
differentiator (DFOD) based electrocardiogram (ECG) pre-processor to detect QRS …

Multiresolution wavelet‐based QRS complex detection algorithm suited to several abnormal morphologies

F Bouaziz, D Boutana, M Benidir - IET Signal Processing, 2014 - Wiley Online Library
The electrocardiogram (ECG) signal is considered as one of the most important tools in
clinical practice in order to assess the cardiac status of patients. In this study, an improved …

R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, hilbert transform, and adaptive thresholding

H Rabbani, MP Mahjoob, E Farahabadi… - Journal of Medical …, 2011 - journals.lww.com
Electrocardiogram (ECG) is one of the most common biological signals which play a
significant role in the diagnosis of heart diseases. One of the most important parts of ECG …

Robust fetal heart beat detection via R-peak intervals distribution

C Lin, CH Yeh, CY Wang, W Shi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Monitoring fetal heart rate during pregnancy is essential to assist clinicians in making more
timely decisions. Non-invasive monitoring of fetal heart activities using abdominal ECGs is …

A robust QRS detection approach using stationary wavelet transform

MA Belkadi, A Daamouche - Multimedia Tools and Applications, 2021 - Springer
Accurate QRS detection is crucial for reliable ECG signal analysis and the development of
automatic diagnosis tools. In this paper, we propose a simple yet efficient new algorithm for …