Evidence map›Paper›PMID 39131729›Full record

ArticleIEEE sensors journal2024

Passive UHF RFID-based real-time intravenous fluid level sensor.

Md Abu Saleh Tajin, Md Shakir Hossain, William M Mongan, Kapil R Dandekar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE sensors journal, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Md Abu Saleh TajinElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA.
Md Shakir HossainElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA.
William M MonganDepartment of Mathematics and Computer Science, Ursinus College, Collegeville, PA 19426, USA.
Kapil R DandekarElectrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA.

Funding

SCH: INT: Smart and Connected Health for Newborn Ventilation R01EB029364 · NIBIB · DREXEL UNIVERSITY · PI DANDEKAR, KAPIL · 2019 to 2023
$1.0M
NIBIB NIH HHS R01 EB029364
6 · The paper itself

Abstract

Ultra high frequency (UHF) passive radio frequency identification (RFID) tag-based sensors are proposed for intravenous (IV) fluid level monitoring in medical Internet of Things (IoT) applications. Two versions of the sensor are proposed: a binary sensor (i.e., full vs. empty state sensing) and a real-time (

Indexed as

Fluid level sensorIoT (Internet of Things)machine learningpassive sensorRFID (Radio Frequency Identification)smart transfusion

Identifiers

PMID39131729
PMCPMC11315455

What OpenQuestion holds

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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 OpenQuestion graph.