Optimizing Transcutaneous Carbon Dioxide Measurement Sites on Humans

This study explores the body sites for measuring transcutaneous carbon dioxide (CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>) noninvasively using a miniaturized monitor that employs a technique known as timedomain dual lifetime referencing. Accurate measurement of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels is crucial for patients with respiratory distress who need monitoring in both clinical and home care settings. We tested this novel monitor by calculating ratio values of luminescence light, indicative of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels, at five d ifferent b ody locations: cheek, forearm, forehead, wrist, and fingertip, on f our subjects. We also conducted a repeatability analysis: we tested the sensor on one subject at the fingertip each day for three consecutive days. Our findings show that while all t ested s ites presented reliable data, the forehead and cheek yielded faster settling times, and the forearm, forehead, and wrist produced less variation in readings. The results highlight the significance of c hoosing e ffective sites for accurate transcutaneous CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> monitoring.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/urtc65039.2024.10937528
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Transcutaneous Carbon Dioxide Measurement Sites on Humans

Ülkühan Güler, Işıl Işıksalan, Nilgun Duman, Alper Y. Ozbey
Health, Environment, Cognitive Aging
article

Optimizing Transcutaneous Carbon Dioxide Measurement Sites on Humans

Ülkühan Güler, Işıl Işıksalan, Nilgun Duman, Alper Y. Ozbey
article en

Abstract

This study explores the body sites for measuring transcutaneous carbon dioxide (CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>) noninvasively using a miniaturized monitor that employs a technique known as timedomain dual lifetime referencing. Accurate measurement of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels is crucial for patients with respiratory distress who need monitoring in both clinical and home care settings. We tested this novel monitor by calculating ratio values of luminescence light, indicative of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels, at five d ifferent b ody locations: cheek, forearm, forehead, wrist, and fingertip, on f our subjects. We also conducted a repeatability analysis: we tested the sensor on one subject at the fingertip each day for three consecutive days. Our findings show that while all t ested s ites presented reliable data, the forehead and cheek yielded faster settling times, and the forearm, forehead, and wrist produced less variation in readings. The results highlight the significance of c hoosing e ffective sites for accurate transcutaneous CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> monitoring.

Worcester Polytechnic Institute (US)
National Science Foundation, HORIZON EUROPE Health
Openalex Percentile: Top 63%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.