Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic

Authors

  • Mazaya Zata Dini Telkom University
  • Andrian Rakhmatsyah Telkom University
  • Aulia Arif Wardana Telkom University

DOI:

https://doi.org/10.26555/jiteki.v8i1.22139

Keywords:

Hypoxemia Classification, Fuzzy Logic, Pulse Oximeter, Oxygen Levels, Heart Rate

Abstract

This study made the digital system to perform screening (early prediction) of Hypoxemia using MAX30102 sensor with the fuzzy value from SpO2 level and heart rate. This research also uses the Internet of Things (IoT) system to gather data from devices to the cloud. Hypoxemia is a lack of oxygen in the blood flowing in the body. Hypoxemia conditions in the body due to lack of oxygen levels in the blood will cause an increased heart rate. Hypoxemia conditions that are not immediately recognized cause damage to cells, tissues, and organs. Hypoxemia is an essential condition because information about oxygen levels in the blood is closely related to health conditions. In this project, researchers built a Hypoxemia early detection system. From the research results, it is found that the accuracy rate of the system to detect hypoxemia is 80%, with 60% sensitivity and 100% specificity. Based on the experiment, this research is able to help screening detection (early prediction) of Hypoxemia.

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Published

2022-04-06

How to Cite

Dini, M. Z., Rakhmatsyah, A., & Wardana, A. A. (2022). Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic. Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika, 8(1), 17–26. https://doi.org/10.26555/jiteki.v8i1.22139

Issue

Vol. 8 No. 1 (2022): March

Section

Articles

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