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The CFAEs are widely reported as targeted areas for ablation in attempts to stop the atrial fibrillation. This paper presents a system for detection of CFAE's areas based on unsupervised machines learning K-means and self-organized maps (SOM) over an electrogram signals provided by a 2D model of atrial fibrillation on simulated human atrial tissue. The signals were characterized using statistics measurements...
In this paper the use of Bandt and Pompe method and entropy are analyzed in order to detect the anomalous behaviors in a voice over IP (VoIP) system. Also, it is shown how the use of generalized entropies improves the anomalous behaviors detection by means of the entropic index. We use the entropic index in order to increase the variation between the entropy measure of normal and anomalous behavior,...
It is demonstrated that wavelet Tsallis q-entropies of 1/fα signals behave in accordance with a sum-cosh window. Closed-form expressions for such windowing functions, defined in the α domain, are obtained and potential applications in the analysis of power-law processes discussed. An example application using pure power-law models validates its utility.
Attacks, such as port scans, DDoS and worms, threaten the functionality and reliability of IP networks. Early and accurate detection is crucial to mitigate their impact. We use the Method of Remaining Elements (MRE) to detect anomalies based on the characterization of traffic features through a proportional uncertainty measure. MRE has the functionality and performance to detect abnormal behavior...
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