Contactless Heart Sound detection using Advanced Signal Processing Exploiting Radar Signals

Muhammad Farooq; Syed Aziz Shah; Dingchang Zheng; Ahmad Taha; Muhammad Imran; Qammer H. Abbasi; Hasan Tahir Abbas

doi:10.1109/JBHI.2024.3490992

Contactless Heart Sound detection using Advanced Signal Processing Exploiting Radar Signals

Muhammad Farooq
, Syed Aziz Shah
, Dingchang Zheng
, Ahmad Taha
, Muhammad Imran
, Qammer H. Abbasi
, Hasan Tahir Abbas

University of Glasgow
Ajman University

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

102 Downloads (Pure)

Abstract

Contactless vital signs detection has the potential to advance healthcare by offering precise and convenient patient monitoring. This groundbreaking approach not only streamlines the monitoring process, but also allows continuous, real-time assessment of vital signs, allowing early detection of anomalies and prompt intervention. This paper presents a novel framework for contactless vital signs detection using continuous-wave (CW) radar and advanced signal processing techniques. We achieved unprecedented precision in capturing 1,261 samples for radar based heart sound waveforms compared to the ground truth ECG signal. Further, our heart sounds method yields highly accurate human heart pulse readings, surpassing previous benchmarks with a mean absolute percentage error (MAPE) of 0.0129 and mean absolute error (MAE) below one (0.8712). In addition, we derived heart rates from the heart sound waveforms and compare them with conventional radar-derived heart rates and ground truth ECG signal. Through analysis, we identified regions where conventional radar based methods exhibit limitations. Our approach demonstrates minimal errors and superior accuracy across all heart rate states, which can potentially set new standards for noninvasive vital sign monitoring.

Original language	English
Pages (from-to)	1009-1020
Number of pages	12
Journal	IEEE Journal of Biomedical and Health Informatics
Volume	29
Issue number	2
Early online date	5 Nov 2024
DOIs	https://doi.org/10.1109/JBHI.2024.3490992
Publication status	Published - Feb 2025

Bibliographical note

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funding

This work was supported by Engineering and Physical Sciences Research Council (EPSRC) grants: EP/X040518/1, EP/T021020/1, EP/T021063/01, and EP/W037076/1.

Funders	Funder number
Engineering and Physical Sciences Research Council	EP/X040518/1, EP/T021020/1, EP/T021063/01, EP/W037076/1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Contactless sensing
continuous-wave radar
heart rate detection
heart sounds detection
pulse rate detection
vital signs detection

ASJC Scopus subject areas

Computer Science Applications
Health Informatics
Electrical and Electronic Engineering
Health Information Management

Access to Document

10.1109/JBHI.2024.3490992

Zheng2024AAMAccepted author manuscript, 2.48 MB

Cite this

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title = "Contactless Heart Sound detection using Advanced Signal Processing Exploiting Radar Signals",

abstract = "Contactless vital signs detection has the potential to advance healthcare by offering precise and convenient patient monitoring. This groundbreaking approach not only streamlines the monitoring process, but also allows continuous, real-time assessment of vital signs, allowing early detection of anomalies and prompt intervention. This paper presents a novel framework for contactless vital signs detection using continuous-wave (CW) radar and advanced signal processing techniques. We achieved unprecedented precision in capturing 1,261 samples for radar based heart sound waveforms compared to the ground truth ECG signal. Further, our heart sounds method yields highly accurate human heart pulse readings, surpassing previous benchmarks with a mean absolute percentage error (MAPE) of 0.0129 and mean absolute error (MAE) below one (0.8712). In addition, we derived heart rates from the heart sound waveforms and compare them with conventional radar-derived heart rates and ground truth ECG signal. Through analysis, we identified regions where conventional radar based methods exhibit limitations. Our approach demonstrates minimal errors and superior accuracy across all heart rate states, which can potentially set new standards for noninvasive vital sign monitoring.",

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AU - Abbasi, Qammer H.

AU - Abbas, Hasan Tahir

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Contactless Heart Sound detection using Advanced Signal Processing Exploiting Radar Signals

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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