A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges

AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

A movable unshielded magnetocardiography system

W **ao, C Sun, L Shen, Y Feng, M Liu, Y Wu, X Liu… - Science …, 2023 - science.org
Magnetocardiography (MCG), which uses high-sensitivity magnetometers to record
magnetic field signals generated by electrical activity in the heart, is a noninvasive method …

Explainable AI decision model for ECG data of cardiac disorders

A Anand, T Kadian, MK Shetty, A Gupta - Biomedical Signal Processing …, 2022 - Elsevier
Electrocardiogram (ECG) data is used to monitor the electrical activity of the heart. It is
known that ECG data could help in detecting cardiac (heart) abnormalities. AI-enabled …

An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique

A Singhal, P Singh, B Fatimah, RB Pachori - Biomedical Signal Processing …, 2020 - Elsevier
Baseline wander (BW) and power-line interference (PLI) tend to occur in every recorded
electrocardiogram (ECG) signal and can significantly deteriorate the quality of the signal …

A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT

S Boda, M Mahadevappa, PK Dutta - Biomedical Signal Processing and …, 2021 - Elsevier
The removal of power line interference (PLI) and baseline wander (BW) is an essential task
for the analysis of the ECG signal. This paper presents a new method to suppress PLI and …

Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition

RR Sharma, RB Pachori - Biomedical Signal Processing and Control, 2018 - Elsevier
In this paper, a novel method is proposed for baseline wander (BW) and power line
interference (PLI) removal from electrocardiogram (ECG) signals. The proposed …

An efficient ECG denoising method based on empirical mode decomposition, sample entropy, and improved threshold function

D Zhang, S Wang, F Li, S Tian, J Wang… - Wireless …, 2020 - Wiley Online Library
The electrocardiogram (ECG) signal can easily be affected by various types of noises while
being recorded, which decreases the accuracy of subsequent diagnosis. Therefore, the …

Atrial fibrillation classification and detection from ECG recordings

AF Gündüz, MF Talu - Biomedical Signal Processing and Control, 2023 - Elsevier
Objective Atrial fibrillation (AF) heart rhythm disorder is investigated under two topics:
Persistent AF (PeAF) and Paroxysmal AF (PAF). Diagnosis and detection of PeAF is …

ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects

A Agrawal, A Chauhan, MK Shetty, MD Gupta… - Computers in Biology …, 2022 - Elsevier
Objective Studies showed that many COVID-19 survivors develop sub-clinical to clinical
heart damage, even if subjects did not have underlying heart disease before COVID. Since …

ECG signal denoising via empirical wavelet transform

O Singh, RK Sunkaria - Australasian physical & engineering sciences in …, 2017 - Springer
This paper presents new methods for baseline wander correction and powerline
interference reduction in electrocardiogram (ECG) signals using empirical wavelet transform …