To measure vital parameters, traditional devices are equipped with sensors that need to be used through contact with the subject’s skin. In recent years photoplethysmography has been developed as a contactless method to monitor vital signs. Thanks to this method, difficulties concerning the detection of parameters through contact devices can be overcome, especially in elderly subjects. In this work we use remote photoplethysmography to estimate cardiovascular parameters through the use of a contactless device equipped with a reflective mirror and a webcam that captures video frames of people’s faces. Besides, we use the clustering technique to automatically estimate the lips colour. Finally, the measured parameters are used as input to fuzzy inference rules integrated into our system, in order to predict cardiovascular risk.

Monitoring Cardiovascular Risk by Video Processing and Fuzzy Rules

Gianluca Zaza
2019

Abstract

To measure vital parameters, traditional devices are equipped with sensors that need to be used through contact with the subject’s skin. In recent years photoplethysmography has been developed as a contactless method to monitor vital signs. Thanks to this method, difficulties concerning the detection of parameters through contact devices can be overcome, especially in elderly subjects. In this work we use remote photoplethysmography to estimate cardiovascular parameters through the use of a contactless device equipped with a reflective mirror and a webcam that captures video frames of people’s faces. Besides, we use the clustering technique to automatically estimate the lips colour. Finally, the measured parameters are used as input to fuzzy inference rules integrated into our system, in order to predict cardiovascular risk.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/251656
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact