Evidence map›Paper›PMID 41775873›Full record

ArticleNPJ cardiovascular health2025

Non-invasive blood pressure monitoring with in-ear infrasonic hemodynography for preventative cardiovascular care.

Robert Ciesielski, Christine S Wong, Jal Panchal, Jacek Grela, Christina Dimalanta, Alison Walton, Hayley Engstrom, Martin D Ring, Jacob Abraham, Curtiss Stinis and 2 more

Abstract read
In one paragraph

Article in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Robert CiesielskiMindMics, Inc, Cambridge, MA, USA.
Christine S WongDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Jal PanchalMindMics, Inc, Cambridge, MA, USA.
Jacek GrelaMindMics, Inc, Cambridge, MA, USA.
Christina DimalantaDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Alison WaltonDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Hayley EngstromDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Martin D RingMindMics, Inc, Cambridge, MA, USA.
Jacob AbrahamCenter for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, OR, USA.
Curtiss StinisDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Steven RomeroDivision of Cardiology, Scripps Clinic, La Jolla, CA, USA.
Anna BarnackaMindMics, Inc, Cambridge, MA, USA. anna.barnacka@mindmics.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrasonic Hemodynography (IH) captures low-frequency vibrations detected by in-ear microphones, offering a new approach to blood pressure monitoring. We report a strong correlation (r = 0.95) between IH waveforms and aortic blood pressure measurements obtained through cardiac catheterization (CC). Temporal analysis confirms the aortic origin of IH signals, with minimal differences in aortic valve opening timings between IH and CC (1.6 ± 12.1 ms), rejecting the hypothesis of peripheral origins. We test an approach to predict systolic (SBP) and diastolic (DBP) blood pressure from waveform morphology. The standard deviations of the differences between predicted and reference BP values averaged across 12 subjects is 4.1 mmHg (SBP) and 2.4 mmHg (DBP) for CC, and 5.8 mmHg (SBP) and 3.7 mmHg (DBP) for IH. These results demonstrate that BP information is encoded in the waveform shape dynamic. By capturing precise cardiovascular signals non-invasively, IH could enable earlier interventions and more personalized treatments.

Identifiers

PMID41775873
PMCPMC12912413

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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.