COVID-19 detection using a model of photoplethysmography (PPG) signals

• Published in: Medical engineering & physics Vol. 109; p. 103904
• Main Authors: Rossi, Eva, Aliani, Cosimo, Francia, Piergiorgio, Deodati, Rossella, Calamai, Italo, Luchini, Marco, Spina, Rosario, Bocchi, Leonardo
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.11.2022; Published by Elsevier Ltd on behalf of IPEM
• Subjects: Algorithms; Bayes Theorem; COVID-19; COVID-19 - diagnosis; Heart Rate; Humans; Microcirculation; Modelling; Photoplethysmography - methods; PPG; Signal Processing, Computer-Assisted; COVID-19; Microcirculation; Modelling; PPG

•PPG signals modelling was validated for detecting the infection from Covid-19.•Fitting procedures reaches about 98% both on Control signals and Patient signals.•Bayes classifier reaches an accuracy of 79% in the distinction between Control and moderate Covid-19 groups.•High values of sensibility ma...