Acoustoscillogram: Unlocking Arterial Health Insights via Acoustic Sensing with Low-cost Wired Earphones
Xiaoxuan Liang, Zhaolong Wei, Shirui Cao, Quan Zhang, Longfei Shangguan, Dong Li, Jeremy Gummeson
Abstract
Cardiovascular disease is a leading cause of mortality worldwide and a major contributor to rising healthcare costs. Early detection of arterial stiffness through metrics such as Pulse Wave Velocity (PWV) and Augmentation Index (AIx) is essential for cardiovascular disease prevention and treatment. However, conventional measurement methods typically require expensive, specialized equipment and clinical settings. In this paper, we explore the use of everyday earphones to monitor PWV and AIx in daily life by capturing skin displacement waveforms induced by arterial pulsation. However, several key challenges must be addressed. First, detecting subtle skin displacement is difficult due to strong self-interference from the speaker to microphone. To address this, we propose a Doppler shift-based displacement estimation approach to isolate dynamic movements from static interference. Second, estimating PWV requires simultaneous two-point measurements, which is non-trivial with standard earphones. We address this with a hardware-software co-design that connects two earphone pairs via a commercial audio splitter and uses orthogonal frequency division multiplexing (OFDM)-based signal separation to extract displacement signals from both sites. Third, enabling general public use without medical training requires thoughtful system design. To this end, we develop a user-friendly mobile application that provides real-time feedback, along with a 3D-printed enclosure to facilitate ease of use and wide accessibility. We conducted IRB-approved clinical studies with 32 participants, comparing our measurements against ground truths from medical devices. Results show that our method achieves a PWV error of less than 0.5 m/s and an AIx error of less than 4%, meeting established medical standards. Please find the demo of our system here .
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get bd8ebc96-bbf1-44d8-a5b2-d014932e91cfRelated papers
- RF-AE: Single-site Arterial Elasticity Estimation Using UWB SignalsZhi Wang, Beihong Jin, Yuhui Chen, Fusang Zhang et al.UbiComp 2025 · 1 citation
- ArtEARial: Arterial Pressure Waveform Reconstruction Using Earbud AudioKenneth Christofferson, Michelle Lin, Joseph A. Cafazzo, Alex MariakakisUbiComp 2026
- APG: Audioplethysmography for Cardiac Monitoring in HearablesXiaoran Fan, David Pearl, Richard E. Howard, Longfei Shangguan et al.MobiCom 2023 · 42 citations
- Continuous Pulmonary Artery Pressure Monitoring using In-ear MicrophoneJunyi Zhou, Chaoyi Sun, Di Fan, Yiyi Zhang et al.INFOCOM 2026
- HearBP: Hear Your Blood Pressure via In-ear Acoustic Sensing Based on Heart SoundsZhiyuan Zhao, Fan Li, Yadong Xie, Huanran Xie et al.INFOCOM 2024 · 11 citations
