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Iterative Adaptive Approach for Respiratory Estimation Using SISO, SIMO, and MIMO Radars
MIRHOSSEINI, Seyedeh Fatemeh; Alaee-Kerahroodi, Mohammad; Dave, Palak et al.
2025In 2025 26th International Radar Symposium, IRS 2025
Peer reviewed
 

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Keywords :
Adaptive approach; Camera-based; ECG electrodes; Experimental analysis; Infineons; Non-contact and non-invasive; Respiration rate; Signal-processing; Texas Instruments'; Vital signs monitoring; Computer Networks and Communications; Computer Science Applications; Signal Processing; Electrical and Electronic Engineering; Astronomy and Astrophysics; Instrumentation
Abstract :
[en] Radar-based vital sign monitoring has gained attention due to its non-contact and non-invasive nature, offering advantages over traditional methods such as ECG electrodes and camera-based systems. This paper presents the Iterative Adaptive Approach (IAA) for robustly estimating respiration rate using BGT60LTR11AIP, and BGT60TR13C from Infineon and IWR6843ISK from Texas Instruments, which are respectively, SISO, SIMO, and MIMO radar demo boards. By adaptively refining signal processing, through experimental analysis the proposed method steps to mitigate the impact of environmental disturbances and enhance the fidelity of vital sign measurements.
Disciplines :
Electrical & electronics engineering
Author, co-author :
MIRHOSSEINI, Seyedeh Fatemeh  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Alaee-Kerahroodi, Mohammad;  University of Luxembourg, Luxembourg
Dave, Palak;  IEE S.A., Luxembourg
Olk, Andreas;  IEE S.A., Luxembourg
Schroeder, Udo;  IEE S.A., Luxembourg
External co-authors :
no
Language :
English
Title :
Iterative Adaptive Approach for Respiratory Estimation Using SISO, SIMO, and MIMO Radars
Publication date :
30 June 2025
Event name :
2025 26th International Radar Symposium (IRS)
Event place :
Hamburg, Germany
Event date :
21-05-2025 => 23-05-2025
Main work title :
2025 26th International Radar Symposium, IRS 2025
Publisher :
IEEE Computer Society
ISBN/EAN :
978-3-00-079305-9
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 October 2025

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