A single-input and single-output (SISO) frequency modulated continuous wave (FMCW) radar architecture is proposed and in vivo demonstrated for remote 2-D localization (range and angular information) and vital signs monitoring of multiple subjects. The radar sensor integrates two frequency scanning antennas which allow angular separation and enable determining a 2-D map (range versus angle) of a room environment from which people can be distinguished from objects and clutter. After technical tests to validate the functionality of the proposed architecture and data processing algorithm, a practical setup was successfully demonstrated to locate human volunteers, at different absolute distances and orientations, and to retrieve their respiratory and heart rate information. Experimental results show that this radar sensor can monitor accurately the vital signs of multiple subjects within typical room settings, reporting maximum mean absolute errors of 0.747 breaths-per-minute and 2.645 beats-per-minute, respectively, for respiration rate and heartbeat. Practical applications arise for Internet of Things (IoT), ambient-assisted living, healthcare, geriatric and quarantine medicine, automotive, rescue and security purposes.

2-D localization, angular separation and vital signs monitoring using a SISO FMCW radar for smart long-term health monitoring environments / Mercuri, Marco; Sacco, Giulia; Hornung, Rainer; Zhang, Peng; Visser, Hubregt J.; Hijdra, Martijn; Liu, Yao-Hong; Pisa, Stefano; van Liempd, Barend; Tom Torfs, And. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 8:14(2021), pp. 11065-11077. [10.1109/JIOT.2021.3051580]

2-D localization, angular separation and vital signs monitoring using a SISO FMCW radar for smart long-term health monitoring environments

Giulia Sacco;Stefano Pisa;
2021

Abstract

A single-input and single-output (SISO) frequency modulated continuous wave (FMCW) radar architecture is proposed and in vivo demonstrated for remote 2-D localization (range and angular information) and vital signs monitoring of multiple subjects. The radar sensor integrates two frequency scanning antennas which allow angular separation and enable determining a 2-D map (range versus angle) of a room environment from which people can be distinguished from objects and clutter. After technical tests to validate the functionality of the proposed architecture and data processing algorithm, a practical setup was successfully demonstrated to locate human volunteers, at different absolute distances and orientations, and to retrieve their respiratory and heart rate information. Experimental results show that this radar sensor can monitor accurately the vital signs of multiple subjects within typical room settings, reporting maximum mean absolute errors of 0.747 breaths-per-minute and 2.645 beats-per-minute, respectively, for respiration rate and heartbeat. Practical applications arise for Internet of Things (IoT), ambient-assisted living, healthcare, geriatric and quarantine medicine, automotive, rescue and security purposes.
2021
2-D localization; angular separation; biomedical applications; contactless; doppler; frequency-modulated continuous wave (FMCW); Internet-of-Things (IoT) system architecture; rampart antenna; remote radar sensing; single-input and single-output (SISO) radar; vital signs monitoring.
01 Pubblicazione su rivista::01a Articolo in rivista
2-D localization, angular separation and vital signs monitoring using a SISO FMCW radar for smart long-term health monitoring environments / Mercuri, Marco; Sacco, Giulia; Hornung, Rainer; Zhang, Peng; Visser, Hubregt J.; Hijdra, Martijn; Liu, Yao-Hong; Pisa, Stefano; van Liempd, Barend; Tom Torfs, And. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 8:14(2021), pp. 11065-11077. [10.1109/JIOT.2021.3051580]
File allegati a questo prodotto
File Dimensione Formato  
Mercuri_2-D-localization_2021.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.99 MB
Formato Adobe PDF
2.99 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1488748
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 56
  • ???jsp.display-item.citation.isi??? 39
social impact