Monitoring System Heartbeat and Body Temperature Using Raspberry Pi
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....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://doi.org/10.1051/e3sconf/20187312003 |
| _version_ | 1818919838970544128 |
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| author | Sollu Tan Suryani Alamsyah Bachtiar Muhammad Bontong Benyamin |
| author_facet | Sollu Tan Suryani Alamsyah Bachtiar Muhammad Bontong Benyamin |
| author_sort | Sollu Tan Suryani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T01:12:13Z |
| format | Article |
| id | doaj.art-01e06ca716a14f18aac39082138aefb0 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-20T01:12:13Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-01e06ca716a14f18aac39082138aefb02022-12-21T19:58:40ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01731200310.1051/e3sconf/20187312003e3sconf_icenis18_12003Monitoring System Heartbeat and Body Temperature Using Raspberry PiSollu Tan Suryani0Alamsyah1Bachtiar Muhammad2Bontong Benyamin3Department of Electrical Engineering, Faculty of Engineering, Tadulako UniversityDepartment of Electrical Engineering, Faculty of Engineering, Tadulako UniversityDepartment of Electrical Engineering, Faculty of Engineering, Tadulako UniversityDepartment of Civil Engineering, Faculty of Engineering, Tadulako UniversityThe 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.https://doi.org/10.1051/e3sconf/20187312003health monitoringheartbeatbody temperatureraspberry pi |
| spellingShingle | Sollu Tan Suryani Alamsyah Bachtiar Muhammad Bontong Benyamin Monitoring System Heartbeat and Body Temperature Using Raspberry Pi E3S Web of Conferences health monitoring heartbeat body temperature raspberry pi |
| title | Monitoring System Heartbeat and Body Temperature Using Raspberry Pi |
| title_full | Monitoring System Heartbeat and Body Temperature Using Raspberry Pi |
| title_fullStr | Monitoring System Heartbeat and Body Temperature Using Raspberry Pi |
| title_full_unstemmed | Monitoring System Heartbeat and Body Temperature Using Raspberry Pi |
| title_short | Monitoring System Heartbeat and Body Temperature Using Raspberry Pi |
| title_sort | monitoring system heartbeat and body temperature using raspberry pi |
| topic | health monitoring heartbeat body temperature raspberry pi |
| url | https://doi.org/10.1051/e3sconf/20187312003 |
| work_keys_str_mv | AT sollutansuryani monitoringsystemheartbeatandbodytemperatureusingraspberrypi AT alamsyah monitoringsystemheartbeatandbodytemperatureusingraspberrypi AT bachtiarmuhammad monitoringsystemheartbeatandbodytemperatureusingraspberrypi AT bontongbenyamin monitoringsystemheartbeatandbodytemperatureusingraspberrypi |