Monitoring System of Self-Isolation COVID-19 Patient Based on Internet of Things
- DOI
- 10.2991/aer.k.211215.126How to use a DOI?
- Keywords
- ESP32; IoT ThingSpeak; MAX30102; DS18B20; Bluetooth
- Abstract
The emergence of Coronavirus Disease 2019 (COVID-19) has made many people affected by this disease, making hospital facilities limited as a place of isolation, ranging from mild symptoms to asymptomatic ones such as Happy Hypoxia (severe pneumonia) causing oxygen saturation levels, heart rate, and temperature to increase. Abnormal changes will occur, this makes the government recommend that those with mild symptoms to self-isolate. So that this study creates a system that can monitor patients who are self-isolating so that the hospital burden does not increase. By using the ESP32 microcontroller as an IoT (Internet of Things) device, data such as SpO2 (Oxygen Saturation), heart rate, and body temperature as monitoring parameters can be sent to the ThingSpeak server. In this study, the measurement results obtained from 10 subjects were measured. The SpO2 value reading error is obtained from the lowest 0.11% and the highest 1.20%. Then the lowest reading heart rate error is 0.89% and the highest is 1.54%. Then the body temperature value obtained the lowest reading error of 0.19% and the highest 2.78%. And the interval of sending data from the smartphone to the ThingSpeak server is <20 seconds. So that this system can be used properly by patients who are self-isolating because they have a low SpO2 error, not exceeding the standard SpO2 accuracy of 4%.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Arif Widodo AU - Zain Bahaul Anwar PY - 2021 DA - 2021/12/16 TI - Monitoring System of Self-Isolation COVID-19 Patient Based on Internet of Things BT - Proceedings of the International Joint Conference on Science and Engineering 2021 (IJCSE 2021) PB - Atlantis Press SP - 756 EP - 762 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.211215.126 DO - 10.2991/aer.k.211215.126 ID - Widodo2021 ER -