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 …
Deep learning models for denoising ECG signals
Effective and powerful methods for denoising electrocardiogram (ECG) signals are important
for wearable sensors and devices. Deep Learning (DL) models have been used extensively …
for wearable sensors and devices. Deep Learning (DL) models have been used extensively …
Practical privacy-preserving ECG-based authentication for IoT-based healthcare
In current healthcare systems, patients use various types of medical Internet of Things
devices for monitoring their health conditions. The collected information (personal health …
devices for monitoring their health conditions. The collected information (personal health …
A new modified wavelet-based ECG denoising
Z Wang, J Zhu, T Yan, L Yang - Computer assisted surgery, 2019 - Taylor & Francis
Purpose: Wavelet denoising is one of the denoising methods commonly used for ECG
signals. However, due to the frequency overlap between the EMG and ECG, the feeble …
signals. However, due to the frequency overlap between the EMG and ECG, the feeble …
Adaptive Fourier decomposition based ECG denoising
A novel ECG denoising method is proposed based on the adaptive Fourier decomposition
(AFD). The AFD decomposes a signal according to its energy distribution, thereby making …
(AFD). The AFD decomposes a signal according to its energy distribution, thereby making …
An ECG denoising method based on the generative adversarial residual network
B Xu, R Liu, M Shu, X Shang… - … Mathematical Methods in …, 2021 - Wiley Online Library
High‐quality and high‐fidelity removal of noise in the Electrocardiogram (ECG) signal is of
great significance to the auxiliary diagnosis of ECG diseases. In view of the single function of …
great significance to the auxiliary diagnosis of ECG diseases. In view of the single function of …
Constructing a guided filter by exploiting the butterworth filter for ECG signal enhancement
M Liu, HQ Hao, P **ong, F Lin, ZG Hou… - Journal of Medical and …, 2018 - Springer
Electrocardiogram (ECG) signal enhancement is necessary in telemedicine. In such ECG
monitoring systems, noises like muscle artifacts, electrode motion and baseline wander are …
monitoring systems, noises like muscle artifacts, electrode motion and baseline wander are …
An AFD-based ILC dynamics adaptive matching method in frequency domain for distributed consensus control of unknown multiagent systems
This paper is concerned with distributed consensus control of unknown multiagent systems.
As the system's dynamics is unknown, an adaptive Fourier decomposition (AFD) based …
As the system's dynamics is unknown, an adaptive Fourier decomposition (AFD) based …
DeepRTSNet: deep robust two-stage networks for ECG denoising in practical use case
In this paper, we develop a low-cost cellular internet of medical things (IoMT)-based
electrocardiogram (ECG) recorder for monitoring heart conditions and used in practical …
electrocardiogram (ECG) recorder for monitoring heart conditions and used in practical …
ECG signal denoising method based on disentangled autoencoder
H Lin, R Liu, Z Liu - Electronics, 2023 - mdpi.com
The electrocardiogram (ECG) is widely used in medicine because it can provide basic
information about different types of heart disease. However, ECG data are usually disturbed …
information about different types of heart disease. However, ECG data are usually disturbed …