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Using Smart Speakers to Contactlessly Monitor Heart Rhythms

Overview
Journal Commun Biol
Specialty Biology
Date 2021 Mar 22
PMID 33750897
Citations 11
Authors
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Abstract

Heart rhythm assessment is indispensable in diagnosis and management of many cardiac conditions and to study heart rate variability in healthy individuals. We present a proof-of-concept system for acquiring individual heart beats using smart speakers in a fully contact-free manner. Our algorithms transform the smart speaker into a short-range active sonar system and measure heart rate and inter-beat intervals (R-R intervals) for both regular and irregular rhythms. The smart speaker emits inaudible 18-22 kHz sound and receives echoes reflected from the human body that encode sub-mm displacements due to heart beats. We conducted a clinical study with both healthy participants and hospitalized cardiac patients with diverse structural and arrhythmic cardiac abnormalities including atrial fibrillation, flutter and congestive heart failure. Compared to electrocardiogram (ECG) data, our system computed R-R intervals for healthy participants with a median error of 28 ms over 12,280 heart beats and a correlation coefficient of 0.929. For hospitalized cardiac patients, the median error was 30 ms over 5639 heart beats with a correlation coefficient of 0.901. The increasing adoption of smart speakers in hospitals and homes may provide a means to realize the potential of our non-contact cardiac rhythm monitoring system for monitoring of contagious or quarantined patients, skin sensitive patients and in telemedicine settings.

Citing Articles

Identification of Use Cases, Target Groups, and Motivations Around Adopting Smart Speakers for Health Care and Social Care Settings: Scoping Review.

Merkel S, Schorr S JMIR AI. 2025; 4:e55673.

PMID: 39804689 PMC: 11773277. DOI: 10.2196/55673.


HSF-IBI: A Universal Framework for Extracting Inter-Beat Interval from Heterogeneous Unobtrusive Sensors.

Bai Z, Wu P, Geng F, Zhang H, Chen X, Du L Bioengineering (Basel). 2025; 11(12.

PMID: 39768037 PMC: 11673224. DOI: 10.3390/bioengineering11121219.


State of the art of mobile health technologies use in clinical arrhythmia care.

Sridhar A, Cheung J, Lampert R, Silva J, Gopinathannair R, Sotomonte J Commun Med (Lond). 2024; 4(1):218.

PMID: 39472742 PMC: 11522556. DOI: 10.1038/s43856-024-00618-4.


JCS/JHRS 2022 Guideline on Diagnosis and Risk Assessment of Arrhythmia.

Takase B, Ikeda T, Shimizu W, Abe H, Aiba T, Chinushi M J Arrhythm. 2024; 40(4):655-752.

PMID: 39139890 PMC: 11317726. DOI: 10.1002/joa3.13052.


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