Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR
This work presents a novel non-contact heart sound monitoring approach using millimeter-wave RADAR technology. The proposed system enables simultaneous heart sound acquisition from multiple subjects, offering a contactless and efficient alternative to traditional stethoscopes, which are limited by t...
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IEEE
2025-01-01
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Series: | IEEE Journal of Microwaves |
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Online Access: | https://ieeexplore.ieee.org/document/11075562/ |
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author | Isabella Lenz Yu Rong Adarsh A. Venkataramani Daniel W. Bliss |
author_facet | Isabella Lenz Yu Rong Adarsh A. Venkataramani Daniel W. Bliss |
author_sort | Isabella Lenz |
collection | DOAJ |
description | This work presents a novel non-contact heart sound monitoring approach using millimeter-wave RADAR technology. The proposed system enables simultaneous heart sound acquisition from multiple subjects, offering a contactless and efficient alternative to traditional stethoscopes, which are limited by the need for direct contact and the inability to monitor multiple subjects concurrently. The RADAR-based heart sound system detects surface skin vibrations induced by the heart's mechanical motions through the chest cavity. It translates these mechanical displacements into time-frequency signals for heart sound analysis. The system employs a Frequency-Modulated Continuous-Wave RADAR with optimized parameters for heart sound recording. A complete RADAR signal processing chain is developed, incorporating automatic subject detection and localization using temporal features, spatial beamforming to separate signals from multiple subjects, and heart sound signal extraction. Experimental results demonstrate the system's capability to capture distinct heart sound signatures from up to three subjects simultaneously, with heart rates matching those obtained from reference digital stethoscopes. These findings highlight the potential of millimeter-wave RADAR technology for advanced biomedical sensing applications, enabling remote and simultaneous monitoring of multiple individuals in clinical and non-clinical environments. |
format | Article |
id | doaj-art-9cc606d5ea4f4ba1b0f8f6da876e0da7 |
institution | Matheson Library |
issn | 2692-8388 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Journal of Microwaves |
spelling | doaj-art-9cc606d5ea4f4ba1b0f8f6da876e0da72025-07-09T23:00:26ZengIEEEIEEE Journal of Microwaves2692-83882025-01-015476777510.1109/JMW.2025.357966811075562Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADARIsabella Lenz0Yu Rong1https://orcid.org/0000-0003-3365-5786Adarsh A. Venkataramani2Daniel W. Bliss3https://orcid.org/0000-0001-8962-2954Center for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USACenter for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USAThis work presents a novel non-contact heart sound monitoring approach using millimeter-wave RADAR technology. The proposed system enables simultaneous heart sound acquisition from multiple subjects, offering a contactless and efficient alternative to traditional stethoscopes, which are limited by the need for direct contact and the inability to monitor multiple subjects concurrently. The RADAR-based heart sound system detects surface skin vibrations induced by the heart's mechanical motions through the chest cavity. It translates these mechanical displacements into time-frequency signals for heart sound analysis. The system employs a Frequency-Modulated Continuous-Wave RADAR with optimized parameters for heart sound recording. A complete RADAR signal processing chain is developed, incorporating automatic subject detection and localization using temporal features, spatial beamforming to separate signals from multiple subjects, and heart sound signal extraction. Experimental results demonstrate the system's capability to capture distinct heart sound signatures from up to three subjects simultaneously, with heart rates matching those obtained from reference digital stethoscopes. These findings highlight the potential of millimeter-wave RADAR technology for advanced biomedical sensing applications, enabling remote and simultaneous monitoring of multiple individuals in clinical and non-clinical environments.https://ieeexplore.ieee.org/document/11075562/Cardiographheart soundmillimeter waveMIMORADARsignal processing |
spellingShingle | Isabella Lenz Yu Rong Adarsh A. Venkataramani Daniel W. Bliss Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR IEEE Journal of Microwaves Cardiograph heart sound millimeter wave MIMO RADAR signal processing |
title | Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR |
title_full | Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR |
title_fullStr | Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR |
title_full_unstemmed | Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR |
title_short | Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR |
title_sort | multi subject remote heart sound monitoring using mmwave mimo radar |
topic | Cardiograph heart sound millimeter wave MIMO RADAR signal processing |
url | https://ieeexplore.ieee.org/document/11075562/ |
work_keys_str_mv | AT isabellalenz multisubjectremoteheartsoundmonitoringusingmmwavemimoradar AT yurong multisubjectremoteheartsoundmonitoringusingmmwavemimoradar AT adarshavenkataramani multisubjectremoteheartsoundmonitoringusingmmwavemimoradar AT danielwbliss multisubjectremoteheartsoundmonitoringusingmmwavemimoradar |