Monitoring Cardiovascular Risk by Video Processing and Fuzzy Rules

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.