Know Your Heart Better: Multimodal Cardiac Output Monitoring using Earbuds

Cardiac Output (CO) is a critical indicator of health, offering insights into cardiac dysfunction, acute stress responses, and cognitive decline. Traditional CO monitoring methods, like impedance cardiography, are invasive and impractical for daily use, leading to a gap in continuous, non-invasive monitoring. Although recent advancements explored wearables on heart rate monitoring, these approaches face challenges in accurately estimating CO due to the indirect nature of the signals. To address these challenges, we introduce EarCO, a non-invasive multimodal CO monitoring system with Photoplethysmography and Ballistocardiogram signals on commodity earbuds. A novel feature fusion method is proposed to integrate raw signals and prior knowledge from both modalities, improving the system’s interpretability and accuracy. EarCO achieves an error of 1.080 L/min in the leave-one-subject-out settings with 62 subjects, making cardiovascular health monitoring accessible and practical for daily use.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10890816
Citations
2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
1.35
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article

Know Your Heart Better: Multimodal Cardiac Output Monitoring using Earbuds

Jilong Kuang, Wendy Berry Mendes, Md Saiful Islam, Larry Zhang et al.
2 citations
Non-Invasive Vital Sign Monitoring
1.35
article

Know Your Heart Better: Multimodal Cardiac Output Monitoring using Earbuds

Jilong Kuang, Wendy Berry Mendes, Md Saiful Islam, Larry Zhang, Christina Rosa, Yunzhi Li, Mehrab Bin Morshed, Hui Zhou, Jungmok Bae, Md. Mahbubur Rahman
article en
2 citations

Abstract

Cardiac Output (CO) is a critical indicator of health, offering insights into cardiac dysfunction, acute stress responses, and cognitive decline. Traditional CO monitoring methods, like impedance cardiography, are invasive and impractical for daily use, leading to a gap in continuous, non-invasive monitoring. Although recent advancements explored wearables on heart rate monitoring, these approaches face challenges in accurately estimating CO due to the indirect nature of the signals. To address these challenges, we introduce EarCO, a non-invasive multimodal CO monitoring system with Photoplethysmography and Ballistocardiogram signals on commodity earbuds. A novel feature fusion method is proposed to integrate raw signals and prior knowledge from both modalities, improving the system’s interpretability and accuracy. EarCO achieves an error of 1.080 L/min in the leave-one-subject-out settings with 62 subjects, making cardiovascular health monitoring accessible and practical for daily use.

Pennsylvania State University (US), Yale University (US), Samsung (United States) (US), Universidad Católica de Santa Fe (AR), Indiana University Bloomington (US), Research!America (United States) (US), University of Rochester (US), Carnegie Mellon University (US)
Openalex Percentile: Top 22%
Non-Invasive Vital Sign Monitoring
1.35
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