Issue |
BIO Web Conf.
Volume 75, 2023
The 5th International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering (BioMIC 2023)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 9 | |
Section | Biomedical Sciences and Engineering | |
DOI | https://doi.org/10.1051/bioconf/20237502002 | |
Published online | 15 November 2023 |
Classification of finger pulse oximeter based on their response time using quantitative analysis
1 Biomedical Engineering, The Graduate School, Universitas Gadjah Mada
2 Electrical Engineering and Information Technology Department, Faculty of Engineering, Universitas Gadjah Mada
3 Department of Dental Biomedical Sciences, Faculty of Dentistry, Universitas Gadjah Mada
4 Loka Pengamanan Fasilitas Kesehatan Banjarbaru
* Corresponding author: septiakhairunnisa1996@mail.ugm.ac.id
The measurement of response time of pulse oximeter lacks standardized method and proper thresholds and alternative measurement methods are needed to minimize error and improve efficiency in calibration method of pulse oximeter due to the increasing number of pulse oximeter variations distributed due to the covid 19 pandemic. This study aims to measure the Response Time (RT) of a finger pulse oximeter with 6 different types of conditioning to determine the RT mean and standard deviation in order to classify the pulse oximeter based on their types. We evaluated the response time of 50 finger pulse oximeters (20 patient monitor type, 8 handheld type, and 22 fingertip type) using 6 saturation and desaturation conditioning methods with a SpO2 Simulator. Quantitative analysis used to determine the initial threshold value. From 50 pulse oximeters found the fastest response pulse oximeter are fingertip type with mean time are 9.71 seconds and the most stable of each conditioning pulse oximeter are patient monitor type with the average RT 3.47 seconds, and Handheld type are put in the middle. With the conclusion that Patient monitor type are classified in monitoring class, Handheld type are classified both in monitoring and diagnostic class and Fingertip both classified in diagnostic and preventive class.
Key words: Response time / Calibration / Quantitative Analysis / Patient Monitor / Handheld / Fingertip
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.