Evidence map›Paper›PMID 40969659›Full record

ArticleIEEE sensors journal2025

A Near-Field Radio Frequency System for Continuous Left and Right Lung Volume Sensing.

Aakash Kapoor, Thomas B Conroy, Kapil Gangwar, Edwin C Kan, Joaquin Araos

Abstract read
In one paragraph

Article in IEEE sensors journal, 2025. 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
–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

1 citing paper in PubMed.

  1. Near-Field Radio-Frequency for Real-Time Facial Expression Recognition.IEEE access : practical innovations, open solutions · 2026
    Article
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.

Aakash KapoorDepartment of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Thomas B ConroyDepartment of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Kapil GangwarDepartment of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Edwin C KanDepartment of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.
Joaquin AraosCollege of Veterinary Medicine, Cornell University, Ithaca, NY 14853 USA.

Funding

Non-invasive measurements of central blood pressures by RF sensorsR21EB034562 · NIBIB · CORNELL UNIVERSITY · PI ARAOS, JOAQUIN, KAN, EDWIN C · 2023 to 2024
$407k
NIBIB NIH HHS R21 EB034562
6 · The paper itself

Abstract

Many respiratory disorders are diagnosed by lung function tests, typically performed using spirometers in clinical settings. Non-invasive measures of lung function are of increasing interest to enable convenient, at-home wellness monitoring of respiratory distress. In this work, we used near-field radio-frequency (NFRF) sensors on mechanically ventilated porcine models for continuous acquisition of pulmonary dynamics for each lung independently under various cardiopulmonary interventions. NFRF sensors, previously shown to detect internal tissue motion, were deployed laterally across the pig chest to measure tidal volume during a stepped intervention. A reference spirometer was used for validation. We used bronchial blockers to isolate each lung, allowing us to demonstrate the novel capability of individually monitoring lung volumes. We demonstrated lung volume measurements with an average error of 9.2% between NFRF and reference spirometry. We also showed individual lung dynamics during one-lung obstruction. The results of this work demonstrates NFRF sensors as a novel wearable method for continuous monitoring of individual lung volumes, aiding the management of respiratory distress during acute and chronic conditions, as well as for detecting early onset of life-threatening conditions such as pneumothorax.

Indexed as

Lung volumesnear-field radio-frequencywearable deviceswellness monitoring

Identifiers

PMID40969659
PMCPMC12442732

What OpenQuestion holds

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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 OpenQuestion graph.