Evidence map›Paper›PMID 25832294›Full record

Trial reportPhysiological measurement2015

A rate-based transcutaneous CO2 sensor for noninvasive respiration monitoring.

M Chatterjee, X Ge, Y Kostov, P Luu, L Tolosa, H Woo, R Viscardi, S Falk, R Potts, G Rao

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Physiological measurement, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Towards accurate transcutaneous COBiosensors & bioelectronics · 2026
    Article
  2. Room temperature sensing of CORSC advances · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. What do masks mask? A study on transdermal COMedical engineering & physics · 2021
    Article
  10. Wearable Transcutaneous COIEEE sensors journal · 2021
    Article
  11. Review
  12. 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

10 authors at 3 institutions in 1 country.

M ChatterjeeCenter for Advanced Sensor Technology, Department of Chemical, Biochemical and Environmental Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
X Ge
Y Kostov
P Luu
L Tolosa
H Woo
R Viscardi
S Falk
R Potts
G Rao
University of Maryland, Baltimore County · USUniversity of Maryland, Baltimore · USFluor (United States) · US

Funding

Non-invasive neonatal respiration monitorR41HD072901 · NICHD · FLUOROMETRIX CORPORATION · PI GE, XUDONG, POTTS, RUSSELL O · 2012 to 2013
$495k
NICHD NIH HHS 1R41HD072901-01NICHD NIH HHS R41 HD072901
6 · The paper itself

Abstract

The pain and risk of infection associated with invasive blood sampling for blood gas measurements necessitate the search for reliable noninvasive techniques. In this work we developed a novel rate-based noninvasive method for a safe and fast assessment of respiratory status. A small sampler was built to collect the gases diffusing out of the skin. It was connected to a CO2 sensor through gas-impermeable tubing. During a measurement, the CO2 initially present in the sampler was first removed by purging it with nitrogen. The gases in the system were then recirculated between the sampler and the CO2 sensor, and the CO2 diffusion rate into the sampler was measured. Because the measurement is based on the initial transcutaneous diffusion rate, reaching mass transfer equilibrium and heating the skin is no longer required, thus, making it much faster and safer than traditional method. A series of designed experiments were performed to analyze the effect of the measurement parameters such as sampler size, measurement location, subject positions, and movement. After the factor analysis tests, the prototype was sent to a level IV NICU for clinical trial. The results show that the measured initial rate of increase in CO2 partial pressure is linearly correlated with the corresponding arterial blood gas measurements. The new approach can be used as a trending tool, making frequent blood sampling unnecessary for respiratory status monitoring.

Indexed as

RespirationSkinAdultBlood Gas AnalysisCarbon DioxideDiffusionFactor Analysis, StatisticalFemaleHumansInfantIntensive Care Units, NeonatalPulmonary VentilationSafetyTime FactorsCarbon Dioxide

Identifiers

PMID25832294
PMCPMC4417034
OpenAlexW2039017805

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.