| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 12003 | |
| Number of page(s) | 5 | |
| Section | Health, Safety and Environment Information Systems | |
| DOI | https://doi.org/10.1051/e3sconf/20187312003 | |
| Published online | 21 December 2018 | |
Monitoring System Heartbeat and Body Temperature Using Raspberry Pi
1 Department of Electrical Engineering, Faculty of Engineering, Tadulako University, Palu - Indonesia
2 Department of Civil Engineering, Faculty of Engineering, Tadulako University, Palu - Indonesia
* Corresponding author: maryono@pwk.undip.ac.id
The development of the current monitoring system has become interesting to investigate, especially wireless sensor network based monitoring. Implementation of the wireless-based monitoring system widely implemented in the application of natural disasters, health monitoring, and military operations. One of the health services applications is the monitoring system of heartbeat and body temperature. Examination of the vital sign is a fundamental parameter for medical personnel in performing treatment early to maintain the safety and physical condition of patients. However, the problems that occur in health services is that medical staff need a long time to examine patients, patient data retrieval is still conventional, and equipment used still using the cable media. To solve the problem, the authors propose a heart rate monitoring system and body temperature using Raspberry Pi. This study aims to relieve the burden of medical personnel in monitoring the patient, shorten the time in taking patient data, and reduce the occurrence of misdiagnosis. Test results showed that the success rate of the system in detecting the heartbeat of 97.78% and body temperature of 99.73%. Distance range of sensor data transmission for open space without obstructions of 67 meters and enclosed space with a barrier of 13 meters.
Key words: health monitoring / heartbeat / body temperature / raspberry pi
© The Authors, published by EDP Sciences, 2018
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.
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