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 …
and has recently received significant interest as a promising biometric trait. However, ECG …
ECG signal denoising and baseline wander correction based on the empirical mode decomposition
M Blanco-Velasco, B Weng, KE Barner - Computers in biology and …, 2008 - Elsevier
The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality
ECG are utilized by physicians for interpretation and identification of physiological and …
ECG are utilized by physicians for interpretation and identification of physiological and …
Deep recurrent neural networks for ECG signal denoising
K Antczak - arXiv preprint arXiv:1807.11551, 2018 - arxiv.org
Electrocardiographic signal is a subject to multiple noises, caused by various factors. It is
therefore a standard practice to denoise such signal before further analysis. With advances …
therefore a standard practice to denoise such signal before further analysis. With advances …
A new personalized ECG signal classification algorithm using block-based neural network and particle swarm optimization
S Shadmand, B Mashoufi - Biomedical Signal Processing and Control, 2016 - Elsevier
The purpose of this paper is the classification of ECG heartbeats of a patient in five heartbeat
types according to AAMI recommendation, using an artificial neural network. In this paper a …
types according to AAMI recommendation, using an artificial neural network. In this paper a …
Real-time quality assessment of long-term ECG signals recorded by wearables in free-living conditions
Objective: Nowadays, methods for ECG quality assessment are mostly designed to binary
distinguish between good/bad quality of the whole signal. Such classification is not suitable …
distinguish between good/bad quality of the whole signal. Such classification is not suitable …
Spectral entropy and deep convolutional neural network for ECG beat classification
A Asgharzadeh-Bonab, MC Amirani, A Mehri - … and Biomedical Engineering, 2020 - Elsevier
Sudden cardiac death is the result of abnormal heart conditions. Therefore, early detection
of such abnormal conditions is vital to identify heart problems. Hence, in this paper, we aim …
of such abnormal conditions is vital to identify heart problems. Hence, in this paper, we aim …
Deep learning-based electrocardiogram signal noise detection and screening model
Objectives Biosignal data captured by patient monitoring systems could provide key
evidence for detecting or predicting critical clinical events; however, noise in these data …
evidence for detecting or predicting critical clinical events; however, noise in these data …
Algorithm for EMG noise level approximation in ECG signals
M Marouf, L Saranovac, G Vukomanovic - Biomedical Signal Processing …, 2017 - Elsevier
In this paper, we introduce an approach for Electromyogram (EMG) noise level
approximation in Electrocardiogram (ECG) signals. The stationary wavelet transform (SWT) …
approximation in Electrocardiogram (ECG) signals. The stationary wavelet transform (SWT) …
Multi-purpose ECG telemetry system
M Marouf, G Vukomanovic, L Saranovac… - Biomedical engineering …, 2017 - Springer
Abstract Background The Electrocardiogram ECG is one of the most important non-invasive
tools for cardiac diseases diagnosis. Taking advantage of the developed telecommunication …
tools for cardiac diseases diagnosis. Taking advantage of the developed telecommunication …
Uniform action potential repolarization within the sarcolemma of in situ ventricular cardiomyocytes
G Bu, H Adams, EJ Berbari, M Rubart - Biophysical journal, 2009 - cell.com
Previous studies have speculated, based on indirect evidence, that the action potential at
the transverse (t)-tubules is longer than at the surface membrane in mammalian ventricular …
the transverse (t)-tubules is longer than at the surface membrane in mammalian ventricular …