Evidence map›Paper›PMID 33750897›Full record

ArticleCommunications biology2021

Using smart speakers to contactlessly monitor heart rhythms.

Anran Wang, Dan Nguyen, Arun R Sridhar, Shyamnath Gollakota

Open access · goldAbstract readComparative Study
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
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  11. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2022
    Article
  12. Smart Speakers: The Next Frontier in mHealth.JMIR mHealth and uHealth · 2022
    Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Anran WangPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. anranw@uw.edu.ORCID 0000-0003-1204-1785
Dan NguyenDivision of Cardiology, University of Washington, Seattle, WA, USA.
Arun R SridharDivision of Cardiology, University of Washington, Seattle, WA, USA. arun11@cardiology.washington.edu.ORCID 0000-0002-0608-5901
Shyamnath GollakotaPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. gshyam@uw.edu.ORCID 0000-0002-9863-3054
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Heart RateTransducersAcousticsAgedAlgorithmsArrhythmias, CardiacCase-Control StudiesElectrocardiographyEquipment DesignFemaleHeart FailureHospitalizationHumansMaleMiddle AgedPredictive Value of Tests

Identifiers

PMID33750897
PMCPMC7943557
OpenAlexW3133591871

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.