Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
An electrocardiogram (ECG) is one of the most promising approaches used for the detection
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
A systematic review on artificial intelligence-based techniques for diagnosis of cardiovascular arrhythmia diseases: challenges and opportunities
Cardiovascular health-related problem is a rapidly increasing integrated field concerning the
processing and fetching the information from cardiovascular systems for early detection and …
processing and fetching the information from cardiovascular systems for early detection and …
Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification
M Cucchi, C Gruener, L Petrauskas, P Steiner… - Science …, 2021 - science.org
Early detection of malign patterns in patients' biological signals can save millions of lives.
Despite the steady improvement of artificial intelligence–based techniques, the practical …
Despite the steady improvement of artificial intelligence–based techniques, the practical …
[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 …
Inter-and intra-patient ecg heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
Electrocardiogram (ECG) signal is a common and powerful tool to study heart function and
diagnose several abnormal arrhythmias. While there have been remarkable improvements …
diagnose several abnormal arrhythmias. While there have been remarkable improvements …
Spatiotemporal Data Processing with Memristor Crossbar‐Array‐Based Graph Reservoir
Memristor‐based physical reservoir computing (RC) is a robust framework for processing
complex spatiotemporal data parallelly. However, conventional memristor‐based reservoirs …
complex spatiotemporal data parallelly. However, conventional memristor‐based reservoirs …
Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals
P Pławiak - Swarm and evolutionary computation, 2018 - Elsevier
This article presents an innovative genetic ensembles of classifiers applied to classification
of cardiac disorders (17 classes) based on electrocardiography (ECG) signal analysis. From …
of cardiac disorders (17 classes) based on electrocardiography (ECG) signal analysis. From …
A global and updatable ECG beat classification system based on recurrent neural networks and active learning
The key challenges faced in the automatic diagnosis of arrhythmia by electrocardiogram
(ECG) is enormous differences among individual patients and high cost of labeling clinical …
(ECG) is enormous differences among individual patients and high cost of labeling clinical …
Arrhythmia recognition and classification using combined parametric and visual pattern features of ECG morphology
H Yang, Z Wei - IEEE Access, 2020 - ieeexplore.ieee.org
ECG is a non-invasive tool used to detect cardiac arrhythmias. Many arrhythmias
classification solutions with various ECG features have been reported in literature. In this …
classification solutions with various ECG features have been reported in literature. In this …