VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation

Fahad Ayaz; Basim Alhumaily; Sajjad Hussain; Muhammad Ali Imran; Ahmed Zoha

doi:10.1109/CAMAD59638.2023.10478425

VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation

Fahad Ayaz
, Basim Alhumaily
, Sajjad Hussain
, Muhammad Ali Imran
, Ahmed Zoha

University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In pediatric care, non-invasive monitoring of the heart rate (HR) and respiratory rate (RR) faces challenges due to random child movements. These random movements can significantly degrade the accuracy of estimates derived from non-invasive radar systems. This study addressed this challenge by incorporating the variational mode decomposition (VMD) technique as a denoising tool in conjunction with the conventional signal processing method using frequency modulated continuous wave (FMCW) radar. This combined approach markedly reduced the motion-induced effects on HR and RR radar measurements. Validation was achieved by comparing the mean absolute error (MAE) and root mean square error (RMSE) of the VMDenhanced radar sensor readings against a reference sensor: On applying VMD for vital sign estimation of children in motion, an average overall improvement of 40.59% in HR and RR precision was noted compared to traditional methods. Our findings emphasize the viability of this integrated technique for non-invasive pediatric vital sign monitoring, particularly amidst movement, suggesting a valuable solution for practical pediatric settings.

Original language	English
Title of host publication	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	264-269
Number of pages	6
ISBN (Electronic)	9798350303490
DOIs	https://doi.org/10.1109/CAMAD59638.2023.10478425
State	Published - 2023
Externally published	Yes
Event	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 - Edinburgh, United Kingdom Duration: 6 Nov 2023 → 8 Nov 2023

Publication series

Name	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Electronic)	2378-4873

Conference

Conference	2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Country/Territory	United Kingdom
City	Edinburgh
Period	6/11/23 → 8/11/23

Keywords

Child's Movement
FMCW Radar
Non-Invasive
Pediatric care
VMD
Vital Sign

Access to Document

10.1109/CAMAD59638.2023.10478425

Cite this

Ayaz, F., Alhumaily, B., Hussain, S., Imran, M. A., & Zoha, A. (2023). VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 (pp. 264-269). (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD59638.2023.10478425

Ayaz, Fahad ; Alhumaily, Basim ; Hussain, Sajjad et al. / VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 264-269 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

@inproceedings{bf765cd9b51e4f9b8df0e5c11124fd8a,

title = "VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation",

abstract = "In pediatric care, non-invasive monitoring of the heart rate (HR) and respiratory rate (RR) faces challenges due to random child movements. These random movements can significantly degrade the accuracy of estimates derived from non-invasive radar systems. This study addressed this challenge by incorporating the variational mode decomposition (VMD) technique as a denoising tool in conjunction with the conventional signal processing method using frequency modulated continuous wave (FMCW) radar. This combined approach markedly reduced the motion-induced effects on HR and RR radar measurements. Validation was achieved by comparing the mean absolute error (MAE) and root mean square error (RMSE) of the VMDenhanced radar sensor readings against a reference sensor: On applying VMD for vital sign estimation of children in motion, an average overall improvement of 40.59\% in HR and RR precision was noted compared to traditional methods. Our findings emphasize the viability of this integrated technique for non-invasive pediatric vital sign monitoring, particularly amidst movement, suggesting a valuable solution for practical pediatric settings.",

keywords = "Child's Movement, FMCW Radar, Non-Invasive, Pediatric care, VMD, Vital Sign",

author = "Fahad Ayaz and Basim Alhumaily and Sajjad Hussain and Imran, \{Muhammad Ali\} and Ahmed Zoha",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 ; Conference date: 06-11-2023 Through 08-11-2023",

year = "2023",

doi = "10.1109/CAMAD59638.2023.10478425",

language = "English",

series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "264--269",

booktitle = "2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023",

address = "United States",

}

Ayaz, F, Alhumaily, B, Hussain, S, Imran, MA & Zoha, A 2023, VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. in 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, Institute of Electrical and Electronics Engineers Inc., pp. 264-269, 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023, Edinburgh, United Kingdom, 6/11/23. https://doi.org/10.1109/CAMAD59638.2023.10478425

VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. / Ayaz, Fahad; Alhumaily, Basim; Hussain, Sajjad et al.
2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 264-269 (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation

AU - Ayaz, Fahad

AU - Alhumaily, Basim

AU - Hussain, Sajjad

AU - Imran, Muhammad Ali

AU - Zoha, Ahmed

PY - 2023

Y1 - 2023

N2 - In pediatric care, non-invasive monitoring of the heart rate (HR) and respiratory rate (RR) faces challenges due to random child movements. These random movements can significantly degrade the accuracy of estimates derived from non-invasive radar systems. This study addressed this challenge by incorporating the variational mode decomposition (VMD) technique as a denoising tool in conjunction with the conventional signal processing method using frequency modulated continuous wave (FMCW) radar. This combined approach markedly reduced the motion-induced effects on HR and RR radar measurements. Validation was achieved by comparing the mean absolute error (MAE) and root mean square error (RMSE) of the VMDenhanced radar sensor readings against a reference sensor: On applying VMD for vital sign estimation of children in motion, an average overall improvement of 40.59% in HR and RR precision was noted compared to traditional methods. Our findings emphasize the viability of this integrated technique for non-invasive pediatric vital sign monitoring, particularly amidst movement, suggesting a valuable solution for practical pediatric settings.

AB - In pediatric care, non-invasive monitoring of the heart rate (HR) and respiratory rate (RR) faces challenges due to random child movements. These random movements can significantly degrade the accuracy of estimates derived from non-invasive radar systems. This study addressed this challenge by incorporating the variational mode decomposition (VMD) technique as a denoising tool in conjunction with the conventional signal processing method using frequency modulated continuous wave (FMCW) radar. This combined approach markedly reduced the motion-induced effects on HR and RR radar measurements. Validation was achieved by comparing the mean absolute error (MAE) and root mean square error (RMSE) of the VMDenhanced radar sensor readings against a reference sensor: On applying VMD for vital sign estimation of children in motion, an average overall improvement of 40.59% in HR and RR precision was noted compared to traditional methods. Our findings emphasize the viability of this integrated technique for non-invasive pediatric vital sign monitoring, particularly amidst movement, suggesting a valuable solution for practical pediatric settings.

KW - Child's Movement

KW - FMCW Radar

KW - Non-Invasive

KW - Pediatric care

KW - VMD

KW - Vital Sign

UR - https://www.scopus.com/pages/publications/85190551698

U2 - 10.1109/CAMAD59638.2023.10478425

DO - 10.1109/CAMAD59638.2023.10478425

M3 - Conference contribution

AN - SCOPUS:85190551698

T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD

SP - 264

EP - 269

BT - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023

Y2 - 6 November 2023 through 8 November 2023

ER -

Ayaz F, Alhumaily B, Hussain S, Imran MA, Zoha A. VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 264-269. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). doi: 10.1109/CAMAD59638.2023.10478425

VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation

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