Monitoramento de batimentos cardíacos usando imagens de vídeo.

Abstract

Measurements of cardiac activity from video images can produce physiologic evaluations, ensuring the comfort of individuals. Currently, the standard measurement method is the electrocardiogram (ECG), in which measurements are realized using electrodes placed on the patient's body. This work presents two methods for monitoring heart rate through video images. Both are based on automatic detection of the human face, using as technique to Blind Source Separation (BSS) by Principal Component Analysis (PCA) to measure the frequency of the heartbeat, which corresponds to the frequency of the first harmonic in more representative component, this frequency is identified by calculating the power spectral density of the components.