Evidence map›Paper›PMID 36550288›Full record

ArticleNPJ digital medicine2022

In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome.

Francis Roosevelt Gilliam, Robert Ciesielski, Karlen Shahinyan, Pratistha Shakya, John Cunsolo, Jal Mahendra Panchal, Bartlomiej Król-Józaga, Monika Król, Olivia Kierul, Charles Bridges and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

16 authors at 3 institutions in 1 country.

Francis Roosevelt GilliamPrisma Health USC Medical Group, 115 North Sumter Street, Suite 410, Sumter, 29150, SC, USA.
Robert CiesielskiMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.ORCID http://orcid.org/0000-0001-9422-9129
Karlen ShahinyanMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.ORCID http://orcid.org/0000-0001-5128-4160
Pratistha ShakyaMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
John CunsoloMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Jal Mahendra PanchalMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.ORCID http://orcid.org/0000-0003-3788-1983
Bartlomiej Król-JózagaMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.ORCID http://orcid.org/0000-0003-2526-0629
Monika KrólMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Olivia KierulMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Charles BridgesMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Christine ShenHealthcare Innovation & Practice Transformation Laboratory, Division of Cardiology, Scripps Clinic and Research Institute, La Jolla, 92037, CA, USA.ORCID http://orcid.org/0000-0003-4652-0899
Carly E WaldmanHealthcare Innovation & Practice Transformation Laboratory, Division of Cardiology, Scripps Clinic and Research Institute, La Jolla, 92037, CA, USA.
Martin RingMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Tomasz SzepieniecMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA.
Anna BarnackaMindMics, Inc., 86 Sherman Street, Cambridge, 02140, MA, USA. anna.barnacka@mindmics.com.ORCID http://orcid.org/0000-0001-5655-4158
Sanjeev P BhavnaniHealthcare Innovation & Practice Transformation Laboratory, Division of Cardiology, Scripps Clinic and Research Institute, La Jolla, 92037, CA, USA.ORCID http://orcid.org/0000-0001-8161-9523
Scripps Clinic · USMichigan Institute for Neurological Disorders · USUniversity of South Carolina Sumter · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human bodily mechanisms and functions produce low-frequency vibrations. Our ability to perceive these vibrations is limited by our range of hearing. However, in-ear infrasonic hemodynography (IH) can measure low-frequency vibrations (<20 Hz) created by vital organs as an acoustic waveform. This is captured using a technology that can be embedded into wearable devices such as in-ear headphones. IH can acquire sound signals that travel within arteries, fluids, bones, and muscles in proximity to the ear canal, allowing for measurements of an individual's unique audiome. We describe the heart rate and heart rhythm results obtained in time-series analysis of the in-ear IH data taken simultaneously with ECG recordings in two dedicated clinical studies. We demonstrate a high correlation (r = 0.99) between IH and ECG acquired interbeat interval and heart rate measurements and show that IH can continuously monitor physiological changes in heart rate induced by various breathing exercises. We also show that IH can differentiate between atrial fibrillation and sinus rhythm with performance similar to ECG. The results represent a demonstration of IH capabilities to deliver accurate heart rate and heart rhythm measurements comparable to ECG, in a wearable form factor. The development of IH shows promise for monitoring acoustic imprints of the human body that will enable new real-time applications in cardiovascular health that are continuous and noninvasive.

Identifiers

PMID36550288
PMCPMC9780339
OpenAlexW4312140268

What OpenQuestion holds

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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.