POF-based specklegram sensor post processing comparative: methods for extracting breath and heart rate

Abstract

Continuous patient monitoring has been evidenced as very beneficious for reducing degeneration1. Due to this, a POF specklegram sensor has been developed based on a previous work2. This work presents a comparative between analysis methods of the specklegram signal for achieving a precise and robust non-contact monitor system. Two different techniques have been used: one based on the Fast Fourier Transform (FFT) and the other based on the Hilbert Transform (HT). Each technique has been employed with two different methods, for heart rate and breath rhythm. The different algorithms are tested on 10 volunteers of different ages and sex.