The aim of this work is to develop an efficient diagnosis method for atrial fibrillation (AF) arrhythmia based on inter-beat interval time series analysis ...
In this study we propose a new method to characterize atrioventricular (AV) coupling during atrial arrhythmias, based on the quantification of the ...
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An Efficient Pattern Recognition Kernel-Based Method for Atrial Fibrillation Diagnosis. Overview of attention for article published in 2016 Computing in ...
Bibliographic details on An Efficient Pattern Recognition Kernel-Based Method for Atrial Fibrillation Diagnosis.
Nov 15, 2020 · Our model registers average accuracy of 95%, specificity of 96% and sensitivity of 93% for the diagnosis of AF events, handily outperforming ...
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Jul 21, 2023 · PPG detects variations in blood volume, whereas ECG delivers electrical signals from the heart. The model is able to efficiently process and ...
In this work, we present a novel intelligent approach based on the multi-scale convolution kernel (MCK) and Squeeze-and-Excitation network (SENet) for AF ...
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In this paper, we review how the RR interval and Electrocardiogram (ECG) signals, incorporated into a monitoring system, can be useful to track AF events.
An Efficient Pattern Recognition Kernel-Based Method for Atrial Fibrillation Diagnosis · Z. HaddiB. Ananou +4 authors. J. Deharo. Medicine, Computer Science.
An Efficient Pattern Recognition Kernel-Based Method for Atrial Fibrillation Diagnosis. Conference Paper. Dec 2018. Zouhair Haddi · Bouchra Ananou ...