ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01479-4
Abstract: AbstractECG signals reflect all the electrical activities of the heart. Consequently, it plays a key role in the diagnosis of the cardiac disorder and arrhythmia detection. Based on tiny alterations in the amplitude, duration and… read more here.
Keywords: arrhythmia classification; arrhythmia; decomposition; nonstationary decomposition ... See more keywords
Interpatient ECG Arrhythmia Detection by Residual Attention CNN
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/2323625
Abstract: The precise identification of arrhythmia is critical in electrocardiogram (ECG) research. Many automatic classification methods have been suggested so far. However, efficient and accurate classification is still a challenge due to the limited feature extraction… read more here.
Keywords: interpatient ecg; residual attention; ecg arrhythmia; cnn ... See more keywords
An Efficient and Automatic ECG Arrhythmia Diagnosis System using DWT and HOS Features and Entropy- Based Feature Selection Procedure
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electrical Bioimpedance"
DOI: 10.2478/joeb-2019-0007
Abstract: Abstract Primary recognition of heart diseases by exploiting computer aided diagnosis (CAD) machines, decreases the vast rate of fatality among cardiac patients. Recognition of heart abnormalities is a staggering task because the low changes in… read more here.
Keywords: feature selection; diagnosis; arrhythmia diagnosis; entropy based ... See more keywords