An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …
artificial intelligence application tasks such as image processing, computer vision, object …
[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
Enhancing dynamic ECG heartbeat classification with lightweight transformer model
Arrhythmia is a common class of Cardiovascular disease which is the cause for over 31% of
all death over the world, according to WHOs' report. Automatic detection and classification of …
all death over the world, according to WHOs' report. Automatic detection and classification of …
Ecg biometric authentication: A comparative analysis
Robust authentication and identification methods become an indispensable urgent task to
protect the integrity of the devices and the sensitive data. Passwords have provided access …
protect the integrity of the devices and the sensitive data. Passwords have provided access …
ECG databases for biometric systems: A systematic review
Computer-based biometric systems (CBBSs) individual recognition are expert and intelligent
systems that are gaining increasing interest in many areas, such as securing financial …
systems that are gaining increasing interest in many areas, such as securing financial …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
Learning deep off-the-person heart biometrics representations
EJ da Silva Luz, GJP Moreira… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Since the beginning of the new millennium, the electrocardiogram (ECG) has been studied
as a biometric trait for security systems and other applications. Recently, with devices such …
as a biometric trait for security systems and other applications. Recently, with devices such …
ECG biometric authentication based on non-fiducial approach using kernel methods
Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
Inter-patient ECG classification using deep convolutional neural networks
J Takalo-Mattila, J Kiljander… - 2018 21st Euromicro …, 2018 - ieeexplore.ieee.org
In this paper we present fully automatic interpatient electrocardiogram (ECG) signal
classification method using deep convolutional neural networks (CNN). ECG is simple and …
classification method using deep convolutional neural networks (CNN). ECG is simple and …