An improved Epidemiological-Unscented Kalman Filter (Hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data

no code implementations • 3 Jul 2022 • Vasileios E. Papageorgiou, George Tsaklidis

The prevalence of COVID-19 has been the most serious health challenge of the 21th century to date, concerning national health systems on a daily basis, since December 2019 when it appeared in Wuhan City.

Analysis of Digitalized ECG Signals Based on Artificial Intelligence and Spectral Analysis Methods Specialized in ARVC

no code implementations • 28 Feb 2022 • Vasileios E. Papageorgiou, Thomas Zegkos, Georgios Efthimiadis, George Tsaklidis

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible for 20% of sudden cardiac deaths before the age of 35.

An Improved Tobit Kalman Filter with Adaptive Censoring Limits

no code implementations • 14 Nov 2019 • Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras

Firstly, the exact covariance matrix of the censored measurements is calculated by taking into account the censoring limits.