@conference{10902/18282,
year = {2019},
month = {8},
url = {http://hdl.handle.net/10902/18282},
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.},
organization = {This work has been sponsored by the Spanish Ministry of Science, Innovation and Universities and European Regional Development Fund (ERDF) across projects RTC-2017-6321-1 AEI/FEDER,UE and TEC2016-76021-C2-2-R AEI/FEDER, UE.},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2019, 11199, 1119911},
publisher = {Seventh European Workshop on Optical Fibre Sensors (EWOFS 2019), Limassol, Chipre, 2019},
title = {POF-based specklegram sensor post processing comparative: methods for extracting breath and heart rate},
author = {Reyes González, Luis Rafael and Anabitarte García, Francisco and Real Peña, Eusebio and Rodríguez Cobo, Luis and Lomer Barboza, Mauro Matías and López Higuera, José Miguel},
}