Evidence map›Paper›PMID 40263608›Full record

ArticleScientific reports2025

Single-element ultrasound system for high-resolution jugular venous pulse contour detection.

Navya Rose George, P M Nabeel, Kiran V Raj, Rahul Manoj, Mohanasankar Sivaprakasam, Jayaraj Joseph

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Navya Rose GeorgeDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India. navya_george@smail.iitm.ac.in.
P M NabeelDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India.
Kiran V RajDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India.
Rahul ManojDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India.
Mohanasankar SivaprakasamDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India.
Jayaraj JosephDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jugular venous pulse (JVP) waveform contour is directly linked to right atrial hemodynamics and is a potential tool for diagnosing various cardiovascular diseases. The reference standard, central venous line catheterization, while precise, is restricted to critical care units owing to the necessity for surgical procedures and specialized operator skills. Conventional ultrasound imaging systems can reliably measure jugular venous vessel dynamics but are hindered by low operational frame rates, large form factors, and the requirement for trained operators. In this study, we propose a portable system using single-element ultrasound technology for reliable JVP waveform acquisition and methods for quantifying the JVP contour features. The performance of the system and method was validated against a reference ultrasound imaging system in a preclinical study on 65 asymptomatic volunteers (27 female). Operating at an acquisition rate of 250 Hz, the system reliably captures JVP waveforms with a temporal resolution of 4 ms. The maximum and minimum jugular venous diameter measurements showed a statistically significant and strong correlation with the reference measurements (r = 0.93 and r = 0.86, respectively, p < 0.001). The devised algorithms effectively segmented JVP cycles and analyzed their contour features with a sensitivity and specificity of 92%. These results provide preliminary evidence for the potential use of the developed system for high-fidelity JVP waveform acquisition and pulse contour feature assessment. The ability to accurately evaluate the JVP contour characteristics can provide insights into right atrial hemodynamics, potentially facilitating the early detection and monitoring of vascular anomalies.

Indexed as

Jugular VeinsAdultAlgorithmsFemaleHumansMaleMiddle AgedUltrasonographyYoung Adult

Identifiers

PMID40263608
PMCPMC12015375

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.