APG: Audioplethysmography for Cardiac Monitoring in Hearables
Xiaoran Fan, David Pearl, Richard E. Howard, Longfei Shangguan, Trausti Thormundsson
摘要
This paper presents Audioplethysmography (APG), a novel cardiac monitoring modality for active noise cancellation (ANC) headphones. APG sends a low intensity ultrasound probing signal using an ANC headphone's speakers and receives the echoes via the on-board feedback microphones. We observed that, as the volume of ear canals slightly changes with blood vessel deformations, the heartbeats will modulate these ultrasound echoes. We built mathematical models to analyze the underlying physics and propose a multi-tone APG signal processing pipeline to derive the heart rate and heart rate variability in both constrained and unconstrained settings. APG enables robust monitoring of cardiac activities using mass-market ANC headphones in the presence of music playback and body motion such as running.
We conducted an eight-month field study with 153 participants to evaluate APG in various conditions. Our studies conform to the (Institutional Review Board) IRB policies from our company. The presented technology, experimental design, and results have been reviewed and further improved by feedback garnered from our internal Health Team, Product Team, User Experience (UX) Team and Legal team. Our results demonstrate that APG achieves consistently high HR (3.21% median error across 153 participants in all scenarios) and HRV (2.70% median error in interbeat interval, IBI) measurement accuracy. Our UX study further shows that APG is resilient to variation in: skin tone, sub-optimal seal conditions, and ear canal size.
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引用它的顶会 Paper8
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- A Survey of Earable Technology: Trends, Tools, and the Road AheadChangshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger 等UbiComp 2026 · 被引用 4 次
- ESPIRO: Natural Pulmonary Function Monitoring via Earphone-Acquired SpeechYetong Cao, Dong Ma, Wentao Xie, Qian Zhang 等MobiCom 2025 · 被引用 3 次
它引用的顶会 Paper5
- Sensing with Earables: A Systematic Literature Review and Taxonomy of PhenomenaTobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans 等UbiComp 2022 · 被引用 102 次
- EarGate: gait-based user identification with in-ear microphonesAndrea Ferlini, Dong Ma, Robert Harle, Cecilia MascoloMobiCom 2021 · 被引用 82 次
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- ToothSonic: Earable Authentication via Acoustic ToothprintZi Wang, Yili Ren, Yingying Chen, Jie YangUbiComp 2022 · 被引用 52 次
- Earmonitor: In-ear Motion-resilient Acoustic Sensing Using Commodity EarphonesXue Sun, Jie Xiong, Chao Feng, Wenwen Deng 等UbiComp 2023 · 被引用 28 次
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