Evidence map›Paper›PMID 38046935›Full record

ArticleIEEE sensors journal2023

Jugular Venous Pulse Waveform Extraction From a Wearable Radio Frequency Sensor.

Thomas B Conroy, Jianlin Zhou, Edwin C Kan

Open access · greenAbstract read
In one paragraph

Article in IEEE sensors journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Forearm Radiomyography for Character and Writer Identification in Air Writing.IEEE journal of electromagnetics, RF and microwaves in medicine and biology · 2026
    Article
  2. Article
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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

3 authors at 1 institution in 1 country.

Thomas B ConroySchool of Electrical and Computer Engineering at Cornell University, Ithaca, NY 14850 USA.
Jianlin ZhouSchool of Electrical and Computer Engineering at Cornell University, Ithaca, NY 14850 USA.
Edwin C KanSchool of Electrical and Computer Engineering at Cornell University, Ithaca, NY 14850 USA.
Cornell University · US

Funding

An Innovative Wearable Sensor For The Early Detection and Prevention Of Fatal Opioid OverdoseR21DA049566 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L, KAN, EDWIN C · 2020 to 2021
$444k
NIDA NIH HHS R21 DA049566
6 · The paper itself

Abstract

Many prevalent heart diseases can be indicated by the features of the jugular venous pulse (JVP), an efficacious indicator of right heart health. However, JVP dynamics are not widely utilized in clinical settings as its observation and sensing remain cumbersome. Non-invasive measures of cardiac behavior, including the JVP, are of growing interest to enable continuous and at-home monitoring of cardiac disorders. In this work, we propose a wearable near-field radio-frequency (RF) sensor affixed with a neck collar on the clavicle over the internal jugular vein to enable non-invasive JVP sensing. We employed a complex vector injection signal processing method to extract repeatable JVP waveform features in multiple postures. With a 21-subject human study, we demonstrated morphologically consistent JVP sensing with consistent a-, c-, and v-wave feature timings, benchmarked by synchronous electrocardiogram and phonocardiogram. Further, inter-postural experiments demonstrated the capability of the proposed system to quantify morphological changes to the JVP which are present in many cardiac disorders. The results of this work suggest the proposed near-field RF sensor is capable of non-invasive JVP monitoring, potentially enabling improved sensing in both clinical and ambulatory environments.

Indexed as

biomedical signal processingcardiac sensingradio-frequencywearable devices

Identifiers

PMID38046935
PMCPMC10688682
OpenAlexW4361858667

What OpenQuestion holds

Textmetadata
LicenceTDM
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.