Computational diagnostic techniques for electrocardiogram signal analysis

L Xie, Z Li, Y Zhou, Y He, J Zhu - Sensors, 2020 - mdpi.com
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …

[HTML][HTML] Comprehensive survey of computational ECG analysis: Databases, methods and applications

E Merdjanovska, A Rashkovska - Expert Systems with Applications, 2022 - Elsevier
Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …

Detection of abnormal heart conditions based on characteristics of ECG signals

M Hammad, A Maher, K Wang, F Jiang, M Amrani - Measurement, 2018 - Elsevier
Heart diseases are one of the most important death causes across the globe. Therefore,
early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram …

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 …

Comprehensive electrocardiographic diagnosis based on deep learning

OS Lih, V Jahmunah, TR San, EJ Ciaccio… - Artificial intelligence in …, 2020 - Elsevier
Cardiovascular disease (CVD) is the leading cause of death worldwide, and coronary artery
disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left …

[PDF][PDF] Electrocardiogram (ECG) signal processing

L Sörnmo, P Laguna - Wiley encyclopedia of biomedical …, 2006 - diec.unizar.es
Signal processing today is performed in the vast majority of systems for ECG analysis and
interpretation. The objective of ECG signal processing is manifold and comprises the …

Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey

M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …

Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems

M Elgendi, B Eskofier, S Dokos, D Abbott - PloS one, 2014 - journals.plos.org
Cardiovascular diseases are the number one cause of death worldwide. Currently, portable
battery-operated systems such as mobile phones with wireless ECG sensors have the …

Implementation of a portable device for real-time ECG signal analysis

T Jeon, B Kim, M Jeon, BG Lee - Biomedical engineering online, 2014 - Springer
Background Cardiac disease is one of the main causes of catastrophic mortality. Therefore,
detecting the symptoms of cardiac disease as early as possible is important for increasing …

Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification

A Darmawahyuni, S Nurmaini, MN Rachmatullah… - PeerJ Computer …, 2022 - peerj.com
Background Electrocardiogram (ECG) signal classification plays a critical role in the
automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be …