Evidence map›Paper›PMID 40568540›Full record

ArticleRoyal Society open science2025

A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar.

Shatabdi Das, Hadi Afsharan, Girish Dwivedi, Coen Arrow, Omid Kavehei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shatabdi DasSchool of Biomedical Engineering, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0009-0007-3248-0829
Hadi AfsharanAdvanced Clinical and Translational Cardiovascular Imaging, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia.
Girish DwivediAdvanced Clinical and Translational Cardiovascular Imaging, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia.
Coen ArrowSchool of Physics, The University of Western Australia, Perth, Western Australia, Australia.
Omid KaveheiSchool of Biomedical Engineering, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-2753-5553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The jugular venous pulse (JVP) reflects right atrial pressure and provides diagnostic insight into cardiovascular and pulmonary health. However, reliable assessment remains difficult due to neck adiposity, anatomical variability and suboptimal positioning. Although central venous catheterization is the gold standard, its invasive nature restricts routine or long-term use. This study introduces a non-invasive method for JVP estimation using a 60 GHz frequency-modulated continuous wave (FMCW) radar. The system captures venous pulsations at the skin surface and applies eigenbeamforming to enhance signal-to-noise ratio and pulse clarity. Radar parameters were optimized for signal fidelity and validated through morphological comparison with simultaneously recorded photoplethysmography (PPG) signals. Additionally, we compared radar-derived JVP signals with previously recorded catheterization data from a patient with early-stage heart failure to assess clinical relevance. Signal localization was successfully achieved within a direction-of-arrival (DoA) range of

Indexed as

heart failurejugular venous pulsemmWave sensingnoninvasive sensingradio frequencysignal processing

Identifiers

PMID40568540
PMCPMC12187424

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.