Screening of Finger Pulse Oximeter Pre-calibration Function Test with Response Time Analysis using Machine Learning Model
Pages 184 - 190
Abstract
The assessment of pulse oximeter Response Time (RT) during the screening process for pulse oximeter function calibration still relies on manual Excel calculations. This study aims to enhance the efficiency and effectiveness of the screening process by employing a machine learning (ML) model. The goal is to reduce the risk of passing a pulse oximeter with slow response time. We categorize RT data into three classes: monitoring, diagnostic, and preventive. Labeled datasets are fed into various ML models to identify the most effective classifier. The analysis considers RT measurements obtained from finger-attached devices, encompassing various conditions, device types, body temperature, and environmental humidity. Among the evaluated algorithms (SVM, Random Forests, Decision Tree, and KNN), the random forest and decision tree models exhibit superior precision and accuracy compared to other algorithms.
References
[1]
D. M. Das, “A pulse oximeter system, OxiSense, with embedded signal processing using an ultra-low power ASIC designed for testability,” Microelectronics J, vol. 72, pp. 1–10, Feb. 2018.
[2]
A. Jubran, “Pulse oximetry,” Crit Care, vol. 19, no. 1, Jul. 2015.
[3]
Kementerian Kesehatan Republik Indonesia, Pengujian dan Kalibrasi Alat Kesehatan. Indonesia, 2015.
[4]
A. Saguni, “METODE KERJA PENGUJIAN DAN ATAU KALIBRASI ALAT KESEHATAN,” Jakarta, 2018.
[5]
S. J. Choi, “Comparison of desaturation and resaturation response times between transmission and reflectance pulse oximeters,” Acta Anaesthesiol Scand, vol. 54, no. 2, pp. 212–217, Feb. 2010.
[6]
A. Widysanto, “Happy hypoxia in critical COVID-19 patient: A case report in Tangerang, Indonesia,” Physiol Rep, vol. 8, no. 20, Oct. 2020.
[7]
D. B. McLeod, “The Desaturation Response Time of Finger Pulse Oximeters During Mild Hypothermia,” Survey of Anesthesiology, vol. 49, no. 5, p. 284, Oct. 2005.
[8]
D. Young, C. Jewkes, M. Spittal, C. Blogg, J. Weissman, and D. Gradwell, “Response Time of Pulse Oximeters Assessed Using Acute Decompression,” Crit Care, vol. 74, pp. 189–195, 1992.
[9]
L. Wang, W. Wei, M. Gong, and L. Mu, “A comparison of response time to desaturation between tracheal oximetry and peripheral oximetry,” J Clin Monit Comput, vol. 24, no. 2, pp. 149–153, Apr. 2010.
[10]
R. Rizzo and A. Módica, “Accuracy and Response Time of a Portable Pulse Oximeter The Pulsox-7 with a Finger Probe,” 1991.
[11]
E. Y. Boateng, J. Otoo, and D. A. Abaye, “Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review,” Journal of Data Analysis and Information Processing, vol. 08, no. 04, pp. 341–357, 2020.
[12]
MonkeyLearn, “5 Types of Classification Algorithms in Machine Learning.” Accessed: Dec. 24, 2023. [Online]. Available: https://monkeylearn.com/blog/classification-algorithms/
[13]
D. Gong, “Top 6 Machine Learning Algorithms for Classification _ by Destin Gong _ Towards Data Science.” Accessed: Dec. 24, 2023. [Online]. Available: https://towardsdatascience.com/top-machine-learning-algorithms-for-classification-2197870ff501
[14]
Analytics Vindhya, “Top 10 Machine Learning Algorithms to Use in 2024”, Accessed: Dec. 24, 2023. [Online]. Available: https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/
[15]
S. Khairunnisa, I. Soesanti, and D. Listyarifah, “Classification of finger pulse oximeter based on their response time using quantitative analysis,” BIO Web Conf, vol. 75, p. 02002, Nov. 2023.
[16]
M. A. J. M. Navarro, J. A. I. Nicdao, and J. C. Dela Cruz, “Machine Learning Based Sleep Phase Monitoring using Pulse Oximeter and Accelerometer,” in 2021 5th International Conference on Electrical, Telecommunication and Computer Engineering, ELTICOM 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Sep. 2021, pp. 88–93.
[17]
N. Cetinkaya, S. Turhan, and O. Pinarer, “Respiratory Rate Prediction Algorithm based on Pulse Oximeter,” in Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 4652–4658.
[18]
I. Medical Equipment Research, “Medical Equipment Resource.” Accessed: Apr. 09, 2023. [Online]. Available: https://medicalequipmentresource.com/medsource-labs-fingertip-pulse-oximeter/
[19]
Soma Technology, “GE Datex Ohmeda Tuffsat.” Accessed: Apr. 09, 2023. [Online]. Available: https://www.somatechnology.com/Pulse-Oximeters/GE-Datex-Ohmeda-Tuffstat.aspx
[20]
Coast Biomedical Equipment, “Philips SureSigns VM6 Patient Monitor With ECG, NIBP, SPO2, & Temp – Refurbished.” Accessed: Apr. 09, 2023. [Online]. Available: https://coastbiomed.com/product/philips-vm6-vital-signs-monitor-with-ecg-nibp-spo2-temp-refurbished/
Index Terms
- Screening of Finger Pulse Oximeter Pre-calibration Function Test with Response Time Analysis using Machine Learning Model
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Published In
April 2024
491 pages
ISBN:9798400717055
DOI:10.1145/3669754
Copyright © 2024 Owner/Author.
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Association for Computing Machinery
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Published: 30 August 2024
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ICCAI 2024
ICCAI 2024: 2024 10th International Conference on Computing and Artificial Intelligence
April 26 - 29, 2024
Bali Island, Indonesia
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