Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey

M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

Keep the stress away with SoDA: Stress detection and alleviation system

AO Akmandor, NK Jha - IEEE Transactions on Multi-Scale …, 2017 - ieeexplore.ieee.org
Long-term exposure to stress may lead to serious health problems such as those related to
the immune, cardiovascular, and endocrine systems. Once having arisen, these problems …

Multiclass ECG signal analysis using global average-based 2-D convolutional neural network modeling

M Wasimuddin, K Elleithy, A Abuzneid, M Faezipour… - Electronics, 2021 - mdpi.com
Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …

[HTML][HTML] Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review

Y Jia, H Pei, J Liang, Y Zhou, Y Yang, Y Cui… - …, 2024 - pmc.ncbi.nlm.nih.gov
This review systematically analyzes the latest advancements in preprocessing techniques
for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past …

[HTML][HTML] A wavelet-based method for power-line interference removal in ECG signals

BR Oliveira, MAQ Duarte, CCE Abreu… - Research on …, 2018 - SciELO Brasil
Introduction The analysis of electrocardiogram (ECG) signals allows the experts to diagnosis
several cardiac disorders. However, the accuracy of such diagnostic depends on the signals …

Statistical outlier curation kernel software (socks): A modern, efficient outlier detection and curation suite

P Pal, R Van Lutterveld, N Quirós, V Taylor… - Authorea …, 2021 - techrxiv.org
Real world signal acquisition through sensors, is at the heart of modern digital revolution.
However, almost every signal acquisition systems are contaminated with noise and outliers …

[HTML][HTML] Adaptive frequency-domain filtering for neural signal preprocessing

E Bedoyan, JW Reddy, A Kalmykov, T Cohen-Karni… - NeuroImage, 2023 - Elsevier
Electrical interference from various sources is a common issue for experimental extracellular
electrophysiology recordings collected using multi-electrode array neural recording systems …

Introducing new algorithms for realising an FIR filter with less hardware in order to eliminate power line interference from the ECG signal

M Meidani, B Mashoufi - IET Signal Processing, 2016 - Wiley Online Library
Power line interference (PLI) corrupts biomedical recordings. A notch filter is one of the filters
that has been suggested to suppress the fundamental PLI and its harmonics in …

[PDF][PDF] Modified variational mode decomposition for power line interference removal in ECG signals

N Mohan, S Kumar… - … Journal of Electrical …, 2016 - pdfs.semanticscholar.org
Power line interferences (PLI) occurring at 50/60 Hz can corrupt the biomedical recordings
like ECG signals and which leads to an improper diagnosis of disease conditions. Proper …

Nonlinear technique-based ECG signal analysis for improved healthcare systems

V Gupta, M Mittal, V Mittal, NK Saxena… - … on Communication and …, 2021 - Springer
Healthcare community of any country should be strong and ready to control spectrum of
diseases. Today, cardiac-related diseases are dominating around the world becoming prime …