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A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
A movable unshielded magnetocardiography system
Magnetocardiography (MCG), which uses high-sensitivity magnetometers to record
magnetic field signals generated by electrical activity in the heart, is a noninvasive method …
magnetic field signals generated by electrical activity in the heart, is a noninvasive method …
Explainable AI decision model for ECG data of cardiac disorders
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 …
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
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 …
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
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 …
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
In this paper, a novel method is proposed for baseline wander (BW) and power line
interference (PLI) removal from electrocardiogram (ECG) signals. The proposed …
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 …
being recorded, which decreases the accuracy of subsequent diagnosis. Therefore, the …
Atrial fibrillation classification and detection from ECG recordings
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 …
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 …
heart damage, even if subjects did not have underlying heart disease before COVID. Since …
ECG signal denoising via empirical wavelet transform
This paper presents new methods for baseline wander correction and powerline
interference reduction in electrocardiogram (ECG) signals using empirical wavelet transform …
interference reduction in electrocardiogram (ECG) signals using empirical wavelet transform …