Your Smart Speaker Can "Hear" Your Heartbeat!

Author:

Zhang Fusang1,Wang Zhi1,Jin Beihong1,Xiong Jie2,Zhang Daqing3

Affiliation:

1. State Key Laboratory of Computer Sciences, Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China

2. College of Information and Computer Sciences, University of Massachusetts Amherst, USA

3. Key Laboratory of High Confidence Software Technologies (Ministryof Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China, Telecom SudParis, InstitutPolytechnique de Paris, Evry, France

Abstract

Vital sign monitoring is a common practice amongst medical professionals, and plays a key role in patient care and clinical diagnosis. Traditionally, dedicated equipment is employed to monitor these vital signs. For example, electrocardiograms (ECG) with 3-12 electrodes are attached to the target chest for heartbeat monitoring. In the last few years, wireless sensing becomes a hot research topic and wireless signal itself is utilized for sensing purposes without requiring the target to wear any sensors. The contact-free nature of wireless sensing makes it particularly appealing in current COVID-19 pandemic. Recently, promising progress has been achieved and the sensing granularity has been pushed to millimeter level, fine enough to monitor respiration which causes a chest displacement of 5 mm. While a great success with respiration monitoring, it is still very challenging to monitor heartbeat due to the extremely subtle chest displacement (0.1 - 0.5 mm) - smaller than 10% of that caused by respiration. What makes it worse is that the tiny heartbeat-caused chest displacement is buried inside the respiration-caused displacement. In this paper, we show the feasibility of employing the popular smart speakers (e.g., Amazon Echo) to monitor an individual's heartbeats in a contact-free manner. To extract the submillimeter heartbeat motion in the presence of other interference movements, a series of novel signal processing schemes are employed. We successfully prototype the first real-time heartbeat monitoring system using a commodity smart speaker. Experiment results show that the proposed system can monitor a target's heartbeat accurately, achieving a median heart rate estimation error of 0.75 beat per minute (bpm), and a median heartbeat interval estimation error of 13.28 ms (less than 1.8%), outperforming even some popular commodity products available on the market.

Funder

National Natural Science Foundation of China

EU Horizon 2020 research and innovation programme IDEA-FAST

Youth Innovation Promotion Association, Chinese Academy of Sciences

EU CHIST-ERA RadioSense Project

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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