Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915099386576896 |
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| author | Fu, Yongjian Sun, Ke Wang, Ruyao Li, Xinyi Ren, Ju Zhang, Yaoxue Zhang, Xinyu |
| author_facet | Fu, Yongjian Sun, Ke Wang, Ruyao Li, Xinyi Ren, Ju Zhang, Yaoxue Zhang, Xinyu |
| contents | The human ear offers a unique opportunity for cardiac monitoring due to its physiological and practical advantages. However, existing earable solutions require additional hardware and complex processing, posing challenges for commercial True Wireless Stereo (TWS) earbuds which are limited by their form factor and resources. In this paper, we propose TWSCardio, a novel system that repurposes the IMU sensors in TWS earbuds for cardiac monitoring. Our key finding is that these sensors can capture in-ear ballistocardiogram (BCG) signals. TWSCardio reuses the unstable Bluetooth channel to stream the IMU data to a smartphone for BCG processing. It incorporates a signal enhancement framework to address issues related to missing data and low sampling rate, while mitigating motion artifacts by fusing multi-axis information. Furthermore, it employs a region-focused signal reconstruction method to translate the multi-axis in-ear BCG signals into fine-grained seismocardiogram (SCG) signals. We have implemented TWSCardio as an efficient real-time app. Our experiments on 100 subjects verify that TWSCardio can accurately reconstruct cardiac signals while showing resilience to motion artifacts, missing data, and low sampling rates. Our case studies further demonstrate that TWSCardio can support diverse cardiac monitoring applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06744 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds Fu, Yongjian Sun, Ke Wang, Ruyao Li, Xinyi Ren, Ju Zhang, Yaoxue Zhang, Xinyu Human-Computer Interaction Signal Processing The human ear offers a unique opportunity for cardiac monitoring due to its physiological and practical advantages. However, existing earable solutions require additional hardware and complex processing, posing challenges for commercial True Wireless Stereo (TWS) earbuds which are limited by their form factor and resources. In this paper, we propose TWSCardio, a novel system that repurposes the IMU sensors in TWS earbuds for cardiac monitoring. Our key finding is that these sensors can capture in-ear ballistocardiogram (BCG) signals. TWSCardio reuses the unstable Bluetooth channel to stream the IMU data to a smartphone for BCG processing. It incorporates a signal enhancement framework to address issues related to missing data and low sampling rate, while mitigating motion artifacts by fusing multi-axis information. Furthermore, it employs a region-focused signal reconstruction method to translate the multi-axis in-ear BCG signals into fine-grained seismocardiogram (SCG) signals. We have implemented TWSCardio as an efficient real-time app. Our experiments on 100 subjects verify that TWSCardio can accurately reconstruct cardiac signals while showing resilience to motion artifacts, missing data, and low sampling rates. Our case studies further demonstrate that TWSCardio can support diverse cardiac monitoring applications. |
| title | Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds |
| topic | Human-Computer Interaction Signal Processing |
| url | https://arxiv.org/abs/2501.06744 |