Machine Learning and Multiparametric Analysis of Cardiorespiratory Biosignals and Environmental Parameters

Paulo De Carvalho1, Luis Mendes, Nikolaos Maglaveras2, Ioanna Chouvarda3, Jorge Henriques, César Teixeira, Rui Pedro Paiva

  • 1University of Coimbra
  • 2Aristotle University of Thessaloniki
  • 3Aristotle University

Details

16:20 - 16:30 | Thu 16 Feb | Salon 6-7 | ThC2.3

Session: Thu2.3: New Generation Personal Health Systems (PHS) for Smart Connected Health

Abstract

The analysis of the respiratory sounds is a valuable diagnostic tool for the detection and follow-up of respiratory diseases such as Chronic Obstructive Pulmonary Disease (COPD). Adventitious sounds, such as wheezes, stridors, squawks and crackles, refer to additional respiratory sounds superimposed on breath sounds and are highly correlated to the respiratory function and therefore have a high potential to deploy pHealth solutions for COPD management. EIT is another biosignal that potentially can allow the continuous assessment of the ventilation function. In this talk we shall present the auscultation sound and EIT processing modules developed in the context of the EU Welcome (FP7-ICT-2013-10) project related to the integrated care of COPD patients