Evidence map›Paper›PMID 37210561›Full record

ArticleCommunications medicine2023

A Low-power wearable acoustic device for accurate invasive arterial pressure monitoring.

Maruchi Kim, Anran Wang, Srdjan Jelacic, Andrew Bowdle, Shyamnath Gollakota, Kelly Michaelsen

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

6 authors at 1 institution in 1 country.

Maruchi KimPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Anran WangPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Srdjan JelacicDepartment of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA.
Andrew BowdleDepartment of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA.
Shyamnath GollakotaPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. gshyam@cs.washington.edu.ORCID http://orcid.org/0000-0002-9863-3054
Kelly MichaelsenDepartment of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA, USA. kellyem@uw.edu.ORCID http://orcid.org/0000-0003-3472-1335
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMillions of catheters for invasive arterial pressure monitoring are placed annually in intensive care units, emergency rooms, and operating rooms to guide medical treatment decision-making. Accurate assessment of arterial blood pressure requires an IV pole-attached pressure transducer placed at the same height as a reference point on the patient's body, typically, the heart. Every time a patient moves, or the bed is adjusted, a nurse or physician must adjust the height of the pressure transducer. There are no alarms to indicate a discrepancy between the patient and transducer height, leading to inaccurate blood pressure measurements.

methodsWe present a low-power wireless wearable tracking device that uses inaudible acoustic signals emitted from a speaker array to automatically compute height changes and correct the mean arterial blood pressure. Performance of this device was tested in 26 patients with arterial lines in place.

resultsOur system calculates the mean arterial pressure with a bias of 0.19, inter-class correlation coefficients of 0.959 and a median difference of 1.6 mmHg when compared to clinical invasive arterial measurements.

conclusionsGiven the increased workload demands on nurses and physicians, our proof-of concept technology may improve accuracy of pressure measurements and reduce the task burden for medical staff by automating a task that previously required manual manipulation and close patient surveillance.

Identifiers

PMID37210561
PMCPMC10199919
OpenAlexW4377137291

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.