In this manuscript, the problem of estimating human vital signs through a plurality of single-input multiple-output frequency modulated continuous wave radars is investigated. A novel algorithm for real-time estimation of heart rate and respiration rate, and for apnea detection is developed. It employs a selection combining technique and a filtering method inspired by Bayesian filtering principles. Our experimental results evidence that the proposed algorithm, tested on commercial radar devices, outperforms well known vital signs estimation methods available in the technical literature at the price of a limited increase in computational complexity.
A Deterministic Method for Contactless Monitoring of Vital Signs Using Multiple FMCW Radars in the 24 GHz Band / Vignoli, Elia; Di Viesti, Pasquale; Matteo Vitetta, Giorgio. - In: IEEE ACCESS. - ISSN 2169-3536. - 13:(2025), pp. 27868-27892. [10.1109/access.2025.3540316]
A Deterministic Method for Contactless Monitoring of Vital Signs Using Multiple FMCW Radars in the 24 GHz Band
Vignoli, Elia
;Di Viesti, Pasquale;Matteo Vitetta, Giorgio
2025
Abstract
In this manuscript, the problem of estimating human vital signs through a plurality of single-input multiple-output frequency modulated continuous wave radars is investigated. A novel algorithm for real-time estimation of heart rate and respiration rate, and for apnea detection is developed. It employs a selection combining technique and a filtering method inspired by Bayesian filtering principles. Our experimental results evidence that the proposed algorithm, tested on commercial radar devices, outperforms well known vital signs estimation methods available in the technical literature at the price of a limited increase in computational complexity.File | Dimensione | Formato | |
---|---|---|---|
A_Deterministic_Method_for_Contactless_Monitoring_of_Vital_Signs_Using_Multiple_FMCW_Radars_in_the_24_GHz_Band.pdf
Open access
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
3.93 MB
Formato
Adobe PDF
|
3.93 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris