COVID-19 Detection Using Photoplethysmography and Neural Networks

COVID-19 Detection Using Photoplethysmography and Neural Networks

The early identification of microvascular changes in patients with Coronavirus Disease 2019 (COVID-19) may offer an important clinical opportunity. This study aimed to define a method, based on deep learning approaches, for the identification of COVID-19 patients from the analysis of the raw PPG sig...

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Bibliographic Details
Main Authors: Sara Lombardi, Piergiorgio Francia, Rossella Deodati, Italo Calamai, Marco Luchini, Rosario Spina, Leonardo Bocchi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
photoplethysmogram
microcirculation
deep learning
convolutional neural network
modelling
classification
Online Access:https://www.mdpi.com/1424-8220/23/5/2561

Internet

https://www.mdpi.com/1424-8220/23/5/2561

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