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Arrhythmia detection using deep convolutional neural network with long duration ECG signals
This article presents a new deep learning approach for cardiac arrhythmia (17 classes)
detection based on long-duration electrocardiography (ECG) signal analysis …
detection based on long-duration electrocardiography (ECG) signal analysis …
[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 …
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
P Pławiak - Expert Systems with Applications, 2018 - Elsevier
This article presents an innovative research methodology that enables the efficient
classification of cardiac disorders (17 classes) based on ECG signal analysis and an …
classification of cardiac disorders (17 classes) based on ECG signal analysis and an …
Subject-aware contrastive learning for biosignals
Datasets for biosignals, such as electroencephalogram (EEG) and electrocardiogram (ECG),
often have noisy labels and have limited number of subjects (< 100). To handle these …
often have noisy labels and have limited number of subjects (< 100). To handle these …
Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
Computer-aided heartbeat classification has a significant role in the diagnosis of cardiac
dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this …
dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this …
A framework for cardiac arrhythmia detection from IoT-based ECGs
Cardiac arrhythmia has been identified as a type of cardiovascular diseases (CVDs) that
causes approximately 12% of all deaths globally. The development of Internet-of-Things has …
causes approximately 12% of all deaths globally. The development of Internet-of-Things has …
Weighted conditional random fields for supervised interpatient heartbeat classification
G De Lannoy, D François, J Delbeke… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper proposes a method for the automatic classification of heartbeats in an ECG
signal. Since this task has specific characteristics such as time dependences between …
signal. Since this task has specific characteristics such as time dependences between …
A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
H Huang, J Liu, Q Zhu, R Wang, G Hu - Biomedical engineering online, 2014 - Springer
Background The inter-patient classification schema and the Association for the
Advancement of Medical Instrumentation (AAMI) standards are important to the construction …
Advancement of Medical Instrumentation (AAMI) standards are important to the construction …
Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach
CK Jha - Computer Methods in Biomechanics and Biomedical …, 2024 - Taylor & Francis
Abnormal cardiac functionality produces irregular heart rhythms which are commonly known
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study
Accurate detection of cardiac pathological events is an important part of electrocardiogram
(ECG) evaluation and subsequent correct treatment of the patient. The paper introduces the …
(ECG) evaluation and subsequent correct treatment of the patient. The paper introduces the …