Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface

  • Identification data

    Identifier:  imarina:5130898
    Authors:  Milici, Stefano; Lorenzo, Javier; Lazaro, Antonio; Villarino, Ramon; Girbau, David
    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.
  • Others:

    Link to the original source: https://ieeexplore.ieee.org/document/7801059
    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
    Paper original source: Ieee Sensors Journal. 17 (5): 1285-1292
    Article's DOI: 10.1109/JSEN.2016.2645766
    Journal publication year: 2017
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/acceptedVersion
    Record's date: 2025-02-08
    URV's Author/s: Girbau Sala, David / Lázaro Guillén, Antonio Ramon / Villarino Villarino, Ramón Maria
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Milici, Stefano; Lorenzo, Javier; Lazaro, Antonio; Villarino, Ramon; Girbau, David
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    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
    Author's mail: antonioramon.lazaro@urv.cat, david.girbau@urv.cat, ramon.villarino@urv.cat
  • Keywords:

    Wireless body area networks
    Wearable sensors
    Radio frequency identification
    Frequency selective surface
    Breathing sensor
    Backscattering
    Electrical and Electronic Engineering
    Engineering
    Electrical & Electronic
    Instrumentation
    Instruments & Instrumentation
    Physics
    Applied
    Química
    Nutrição
    Medicina veterinaria
    Medicina ii
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Ciências biológicas ii
    Ciências biológicas i
    Ciência da computação
    Biotecnología
    Astronomia / física
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