A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
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 …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Semi-supervised learning for ECG classification without patient-specific labeled data
In this paper, we propose a semi-supervised learning-based ECG classification system for
detection of supraventricular ectopic beats (SVEB or S beats) and ventricular ectopic beats …
detection of supraventricular ectopic beats (SVEB or S beats) and ventricular ectopic beats …
Multiclass ECG signal analysis using global average-based 2-D convolutional neural network modeling
Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
A modular low-complexity ECG delineation algorithm for real-time embedded systems
This work presents a new modular and low-complexity algorithm for the delineation of the
different ECG waves (QRS, P and T peaks, onsets, and end). Involving a reduced number of …
different ECG waves (QRS, P and T peaks, onsets, and end). Involving a reduced number of …
Path vector face routing: Geographic routing with local face information
Existing geographic routing algorithms depend on the planarization of the network
connectivity graph for correctness, and the planarization process gives rise to a well-defined …
connectivity graph for correctness, and the planarization process gives rise to a well-defined …
LUDB: a new open-access validation tool for electrocardiogram delineation algorithms
AI Kalyakulina, II Yusipov, VA Moskalenko… - IEEE …, 2020 - ieeexplore.ieee.org
We report Lobachevsky University Database (LUDB) of ECG signals, an open tool for
validating ECG delineation algorithms, that is superior to the existing publicly available data …
validating ECG delineation algorithms, that is superior to the existing publicly available data …
Long-term wearable electrocardiogram signal monitoring and analysis based on convolutional neural network
L Meng, K Ge, Y Song, D Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Wearable devices are increasingly popular for health monitoring via electrocardiograms
(ECGs) as they can portably monitor heart conditions over a long time. However, so far there …
(ECGs) as they can portably monitor heart conditions over a long time. However, so far there …
Clinical knowledge-based ECG abnormalities detection using dual-view CNN-Transformer and external attention mechanism
H Li, J Han, H Zhang, X Zhang, Y Si, Y Zhang… - Computers in Biology …, 2024 - Elsevier
Background: Automatic abnormalities detection based on Electrocardiogram (ECG)
contributes greatly to early prevention, computer aided diagnosis, and dynamic analysis of …
contributes greatly to early prevention, computer aided diagnosis, and dynamic analysis of …