INTERNET OF MEDICAL THINGS (IoMT)-BASED HEART RATE AND BODY TEMPERATURE MONITORING SYSTEM
Authors
Ida Laila , A Arifin , Bidayatul ArmynahDOI:
10.29303/ipr.v5i1.134Published:
2022-01-27Issue:
Vol. 5 No. 1 (2022)Keywords:
Body Temperature, Heart rate, IoMT, Raspberry Pi, Web ServerArticles
Downloads
How to Cite
Abstract
Research has been carried out on a heart rate and body temperature monitoring system based on the Internet of Medical Things (IoMT). This study aims to create a system for monitoring heart rate and body temperature remotely in real-time with measurement results displayed on a web server. This research includes several methods such as developing research concepts based on literature studies, system design consisting of hardware and software design, sensor calibration, web server creation, system testing, and direct data retrieval. The hardware manufacturing stage uses several components such as a pulse heart sensor to detect heart rate, DS18B20 sensor to detect body temperature, Arduino Uno microcontroller, Xbee end device, Xbee coordinator, and raspberry pi as a server computer. Then for the use of software on this system, it consists of Arduino Integrated Development Environment (IDE) to run Arduino Uno hardware, XCTU to provide configuration on Xbee, Python to run Raspberry Pi and Django as a framework for building web servers and MySQL as data storage center measurement results. Heart rate monitoring is done by placing a sensor on one of the fingers, and body temperature is done by placing the sensor in the axilla. The output from the sensor in the form of analog data is converted by the Arduino Uno microcontroller into digital data and then sent to the Raspberry Pi module via Xbee. The raspberry pi has processed data is then stored in the database and then displayed on the webserver. The sensor calibration results show that the pulse heart sensor's error rate is 0.41%, and the DS18B20 temperature sensor is 1.09%. After calibration of the sensor, data was collected on the three respondents' heart rate and body temperature. The measurement results show that the system can store each respondent's heart rate and body temperature data in the database and display the measurement results on the webserver in real-time. Based on these results indicate that the system that has been made can work well.References
S. Vishnu, S. R. J. Ramson, R. Jegan (2020). Internet of medical things (IoMT). International Conference on Devices Circuits and Systems (ICDCS) 101-104. Doi: https://doi.org/10.1109/ICDCS48716.2020.243558
P. S. Akram, S. A. S. Valiveti, M. Ramesha, S. Sohail, K. T. S. S. Rao (2021). IoT based remote patient health monitoring system. 7th International Converence on Advanced Computing & Communication System (ICACCS) 978-1-6654-0521-8/20/$31.00. Doi: https://doi.org/10.1109/ICACCS51430.2021.9441874
D. Gupta, A. Parikh, R. Swarnalatha (2020). Integrated healthcare monitoring device for obese adults using internet of things (IoT). International Journal of Electrical and Computer Engineering (IJECE) 10 (1) 1239-1247. Doi: https://doi.org/10.11591/ijece.v10i1.pp1239-1247
I. D. G. H. Wisana, B. Utomo, F. Amrinsani, E. Purwanto (2021). Low coast health monitoring system based on internet of things using email notification. International Journal of Electronics, Electromedical, and Medical Informatics (IJEEEMI) 3 (2) 45-52. Doi: https://doi.org/10. 35882/ijeeemi.v3i2.2
K. T. Kadhim, A. M. Alsahlany, S. M Wadi, H. T. Kadhum (2020). Monitoring vital signs of human hear based on IOT 1 (2) 9-13. Doi: https://doi.org/10.46649/110420-0.
Alamsyah, M. Subito, M. Ikhlayel, E. Setijadi (2020). Internet of things based vital sign monitoring system. International Journal of Electrical and Computer Engineering (IJECE) 10 (6) 5891-5898. Doi: https://doi.org/10.11591/ijece.v10i6.pp5891-5898
B. Hardhana, F. Sibuea, W. Widiantini. (2020). Profil Kesehatan Indonesia Tahun 2019. Jakarta: Kementrian Kesehatan Republik Indonesia.
S. S. Vedaei, A. Fotovvat, M. R. Mohebbian, G. M. E. Rahman, K. A. Wahid, P. Babyn, H. R. Marateb, M. Mansourian, R. Sami (2020). Covid safe an IoT based system for automated health monitoring and surveyllace in post pandemic life. IEEE 20 1-13. Doi: https://doi.org/10.1109/ACCESS.2020.3030194
J. Jusjak, I. Puspasari, W. I. Kusumawati (2021). A Semi-automatic Heart Sounds Identification Model and Its Implementation in Internet of Things. Advances in Electrical and Computer Engineering 21 (1) 45-56. Doi: https://doi.org/10.4316/AECE.2021.01005
T. Wang, L. Qiu, A. K. Sangaiah, A. Liu, M. Z. A. Bhuiyan, Y. Ma (2019). Edge Computing Based Trustworthy Data Collection Model in the Internet of Things. Journal of Latex Class Files 20 (20) 1-10. Doi: https://doi.org/10.1109/JIOT.2020.2966870
M. Stoyanova, Y. Nikoloudakis, S. Panagiotakis, E. Pallis, E. K. Markakis (2020). A Survey on the Internet of Things Forensics: Challenges, Approaches, and Open Issue. IEEE Communication Surveys & Tutorials 22 (2) 1191-1221. doi: https://doi.org/10.1109/COMST.2019.2962586
D. A. Hasan and A. G. Ismaeel (2020). Designing ECG monitoring healthcare system based on internet of things blynk application. Journal of Applied Science and Technology Trends 1 (3) 106-111. Doi: https://doi.org/10.38094/jastt1336
S. Hadiyoso, A. Alfaruq, R. Tulloh, Y. S. Rohmah, E. Susanto (2021). Internet of things based real-time vital sign monitoring system using mobile application. Journal of Applied Engineering Science 3 (19) 807-813. Doi: https://doi.org/10.5937/jaes0-28774
P. K. Malik, R. Sharma, R. Singh, A. Gehlot, S. C. Satapathy, W. S. Alnumay, D. Pelusi, U. Ghosh, J. Nayak (2020). Industrial Internet of Things and its applications in industry 4.0: State of the art. Computer Communications. Doi: https://doi.org/10.1016/j.comcom.2020.11.016
S. A. Chaudhry, A. Irshad, J. Nebhen, A. K. Bashir, N. Moustafa, Y. D. Al-Otaibi, Y. B. Zikria (2021). An anonymous device to device access control based on secure certificate for internet of medical things systems. Sustainable Cities and Society 75 103322. Doi: https://doi.org/10.1016/j.scs.2021.103322
N. H. Motlagh, M. Mohammadrezaei, J. Hunt, B. Zakeri (2020). Internet of things (IoT) and the energy sector. Journal Energies 13 (494) 1-27. Doi: https://doi.org/10.3390/en13020494
R. P. Singh, M. Javaid, A. Haleem, R. Vaishya, S. Ali (2020). Internet of medical things (IoMT) for orthopaedic in COVID-19 pandemic: Roles, challenges, and applications. Journal of Clinical Orthopaedics and Trauma. Doi: https://doi.org/10.1016/j.scs.2021.103322
C. Li, X. Hu, L. Zhang (2017). The IoT-based Heart Disease Monitoring System for Pervasive Healthcare Service. Procedia Computer Science (112) 2328-2334. Doi: https://doi.org/10.1016/j.procs.2017.08.265
P. Kalamkar, P. Patil, T. Bhongale, M. Kamble (2018). Human Health Monitoring System using IoT and Raspberry Pi. International Research Journal of Engineering and Technology 5 (3) 3551-3553. Doi: https://doi.org/10.1109/ICIMIA.2017.7975587
H. A. E. Zouka and M. M. Hosni (2019). Secure IoT communications for smart healthcare monitoring system. Journal Internet of Things 2542-6605 1-14. Doi: https://doi.org/10.1016/j.iot.2019.01.003
G. Sheela and A. R. Varghese (2020). Machine Learning based Health Monitoring System. Proceedings Materials 24 1788-1794. Doi: https://doi.org/10.1016/j.matpr.2020.03.603
A. D. Shewale and S. V. Sankpal (2020). IOT & Raspberry Pi based Smart and Secure Health Care System using BSN. International Journal for Research in Applied Science & Engineering Technology 8 (2) 506-510.
Y. Li, J. Li, J. Huang, H. Zou (2020). Fitting analysis and research of measured data of SAW micro-pressure sensor based on BP neural network. Measurement 155 107533 1-6. Doi: https://doi.org/10.1016/j.measurement.2020.107533
S. Ahammed, N. Hassan, S. H. Cheragee, A. Z. M. T. Islam (2021). An iot-based real-time remote health monitoring system. International Journal of Research Engineering Science 8 (3) 23-29. Doi: https://doi.org/10.14445/23497157/IJRES-V8I3P104
World Healt Organization. (2011). Integrated Management of Adolescent and Adult Illness (IMAI) Discrit Clinical Manual: Hospital Care for Adolescents and Adults Volume 1. Switzerland: WHO Press.
License
Authors who publish with Indonesian Physical Review Journal, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licence (CC BY SA-4.0). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Indonesian Physical Review Journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
