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Statistical Performance Analysis of Radar-Based Vital-Sign Processing Techniques
Tedgue Beltrao, Gabriel; Alaeekerahroodi, Mohammad; Schroeder, Udo et al.
2022International Conference on Sensing Technology (ICST)
 

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Abstract :
[en] Radar-based vital-sign monitoring provides several advantages over standard methodologies. Despite the huge amount of recent work, the preference for particular technique(s) is in debt, due to lack of a formal comparison between them. In addition, collection of real data is a time-consuming process and therefore most of the proposed solutions are only evaluated under very limited scenarios. In this paper we present a simulation framework and a selection of results which allow easy performance comparison between radar-based vital-sign processing techniques. The proposed simulation tool scans over multiple breathing and heartbeat frequencies, and the combined effects along the entire signal processing chain can be analyzed, for different combinations of scenarios and techniques. The results have shown specific limitations for each method, thus indicating a need for proper selection based on operating conditions. In addition, while breathing estimation performance is only limited by noise, heartbeat estimation is limited by the presence of breathing harmonics and, despite promising results at specific breathing/heartbeat frequencies, the presented methods fail to fully mitigate this type of interference in all scenarios.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Tedgue Beltrao, Gabriel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Alaeekerahroodi, Mohammad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Schroeder, Udo
Tatarinov, Dimitri
Mysore Rama Rao, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
External co-authors :
no
Language :
English
Title :
Statistical Performance Analysis of Radar-Based Vital-Sign Processing Techniques
Publication date :
2022
Number of pages :
101--112
Event name :
International Conference on Sensing Technology (ICST)
Event date :
2022
FnR Project :
FNR14269859 - Mimo Distributed Radar For Indoor Applications, 2019 (01/10/2019-31/08/2023) - Gabriel Tedgue Beltrão
Funders :
FNR - Fonds National de la Recherche [LU]
Commentary :
Springer International Publishing 978-3-030-98886-9 Cham
Available on ORBilu :
since 02 December 2022

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