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Your Smart Speaker Can "hear" Your Heartbeat!

  • Fusang Zhang
  • , Zhi Wang
  • , Beihong Jin
  • , Jie Xiong
  • , Daqing Zhang
  • Institute of Software Chinese Academy of Sciences
  • University of Massachusetts
  • Tsinghua University

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

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.

langue originaleAnglais
Numéro d'article3432237
journalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume4
Numéro de publication4
Les DOIs
étatPublié - 17 déc. 2020
Modification externeOui

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