Author, as appears in the article.: Milici, Stefano; Lorenzo, Javier; Lazaro, Antonio; Villarino, Ramon; Girbau, David;
Department: Enginyeria Electrònica, Elèctrica i Automàtica
URV's Author/s: Girbau Sala, David / Lázaro Guillén, Antonio Ramon / Villarino Villarino, Ramón Maria
Keywords: Wireless body area networks Wearable sensors Radio frequency identification Frequency selective surface Breathing sensor Backscattering
Abstract: This paper presents a wireless apnoea detector using a passive breathing sensor. The device is based on the measurement of the airflow temperature changes that are produced during breathing. The sensor is a negative temperature coefficient resistor, which is to be placed close to the nose. The functional principle is based on the change of resistance, since the body increases the temperature of the airflow, which the device receives during breathing. The wireless communication is performed using the backscattered field technique, and is based on the modulation of the response from a transponder. This backscattering technique saves a lot of energy in comparison to its alternatives and guarantees a long lifetime for the device. The transponder is composed of an array of dipoles, loaded with varactor diodes, which implement a frequency selective surface. NTC measured temperature controls the oscillation frequency of a low-frequency, two-inverter oscillator. The output of the latter modulates the varactor diodes which, in turn, modulate the backscattered response of the transponder. An algorithm, which is based on the detection of the peaks on the breathing signal in order to calculate real-time respiration and apnoea intervals, has been implemented. The reader used is also presented and experimental results are shown. The sensor can be used to perform continuous real-time measurements for long period on time due to its low-power consumption.
Thematic Areas: Química Physics, applied Nutrição Medicina veterinaria Medicina ii Materiais Matemática / probabilidade e estatística Interdisciplinar Instruments & instrumentation Instrumentation Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrical and electronic engineering Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: antonioramon.lazaro@urv.cat david.girbau@urv.cat ramon.villarino@urv.cat
Author identifier: 0000-0003-3160-5777 0000-0001-9692-8943
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://ieeexplore.ieee.org/document/7801059
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Ieee Sensors Journal. 17 (5): 1285-1292
APA: Milici, Stefano; Lorenzo, Javier; Lazaro, Antonio; Villarino, Ramon; Girbau, David; (2017). Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface. Ieee Sensors Journal, 17(5), 1285-1292. DOI: 10.1109/JSEN.2016.2645766
Article's DOI: 10.1109/JSEN.2016.2645766
Entity: Universitat Rovira i Virgili
Journal publication year: 2017
Publication Type: Journal Publications
Repositori URV