Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
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 …
Automatic analysis of these recordings can be performed using various computational …
Detection of abnormal heart conditions based on characteristics of ECG signals
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 …
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 …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
Comprehensive electrocardiographic diagnosis based on deep learning
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 …
disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left …
[PDF][PDF] Electrocardiogram (ECG) signal processing
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 …
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 …
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
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 …
battery-operated systems such as mobile phones with wireless ECG sensors have the …
Implementation of a portable device for real-time ECG signal analysis
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 …
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
Background Electrocardiogram (ECG) signal classification plays a critical role in the
automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be …
automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be …