eHealth Internet of Things on Low Power Wide Area Network of Hospital

Main Article Content

Wiraphon Manatarinat
Panjai Tantatsanawong
Suvit Poomrittigul
Sakol Udomsiri

Abstract

Nowadays, the number of older adults is increasing due to medical advancements and attention to the health of the elderly. Effective healthcare and safety are essential. Therefore, the researcher has an idea to develop a system that can support the care of patients and the elderly safely by detecting falls. However, there are limitations in the contact with the public health system and other technical issues such as high power consumption, cost, and reliability. In this article, we would like to introduce a fictional wearable fall detection system. Algorithms based on threshold are specifically integrated with the Internet of Things (IoT) and a Low-Power Wide Area Network (LPWAN), with nodes monitoring and parsing the data. The server part consists of an application server and a UDP server. The  application server is responsible for accessing the data. At the same time, the UDP server is responsible for receiving data and monitoring abnormal data packets sent by the Narrowband Internet of Things (NB-IoT) to develop an efficient and secure data transmission mechanism. For healthcare professionals, eHealth is designed from the server side, which comprises a server application and a client-server architecture. The eHealth system is a digital technology tool and ICT service that connects healthcare providers and citizens to access health services effectively, comprehensively, equitably, and safely for elderly patients and healthcare providers
for algorithm validation. We recruit volunteers for events. Daily life and falls the experimental results showed that our presented algorithm could achieve accuracy, indicating the efficiency of our system.

Article Details

How to Cite
Manatarinat, W. ., Tantatsanawong, P. ., Poomrittigul, S. ., & Udomsiri, S. . . (2023). eHealth Internet of Things on Low Power Wide Area Network of Hospital. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 21(3), 251460. https://doi.org/10.37936/ecti-eec.2023213.251460
Section
Research Article

References

M. T. Buyukakkaslar, M. A. Erturk, M. A. Aydin, and L. Vollero, “LoRaWAN as an e-Health Communication Technology,” 2017 IEEE 41st Annual Computer Software and Applications Conference

(COMPSAC), Jul. 2017.

P. Pierleoni, A. Belli, L. Palma, M. Pellegrini, L. Pernini, and S. Valenti, “A High Reliability Wearable Device for Elderly Fall Detection,” IEEE Sensors Journal, vol. 15, no. 8, pp. 4544–4553, Aug. 2015.

W. Ayoub, A. E. Samhat, F. Nouvel, M. Mroue, and J.-C. Prevotet, “Internet of Mobile Things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs Standards and Supported Mobility,” IEEE Communications Surveys & amp; Tutorials, vol. 21, no. 2, pp. 1561-1581, 2019.

S. Popli, R. K. Jha, and S. Jain, “A Survey on Energy Efficient Narrowband Internet of Things (NBIoT): Architecture, Application and Challenges,” IEEE Access, vol. 7, pp. 16739–16776, 2019.

M. Kanj, V. Savaux, and M. Le Guen, “A Tutorial on NB-IoT Physical Layer Design,” IEEE Communications Surveys & amp; Tutorials, vol. 22, no. 4, pp. 2408–2446, 2020.

C. Chakraborty, B. Gupta, and S. K. Ghosh, “A Review on Telemedicine-Based WBAN Framework for Patient Monitoring,” Telemedicine and e-Health, vol. 19, no. 8, pp. 619–626, Aug. 2013.

F. Nasri, N. Moussa and A. Mtibaa, “Internet of Things: Intelligent system for healthcare based on WSN and android,” 2014 World Congress on Computer Applications and Information Systems (WCCAIS), Hammamet, Tunisia, 2014, pp. 1-6.

X. Ming, Zhan and C. Xu, “A Multimedia Telemedicine System in Internet of Things,” International Conference on Information and Multimedia Technology (ICIMT 2010), Dec. 2010, pp. 180-187.

W. Manatarinat, S. Poomrittigul, and P. Tantatsanawong, “eHealth Internet of Thing Platform on Low Power Wide Area Network: A Case Study of Siriraj Hospital, Mahidol University,” International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jul. 2018, pp. 216-219.

S. Koonphak, W. Manatarinat, and P. Tantatsanawong, “Prototype Development of Emergency Medical service using Narrow Band Internet of Things,” Thai Medical Informatics Association (TMI), pp. 86-92, Nov. 2020.

K. Chaikot, W. Manatarinat, and P. Tantatsanawong, “Prototype Development of Falling Tacking System of Patient or Eldery People using Internet of Things,” Thai Medical Informatics Association (TMI), pp. 79-85, Nov. 2020.

A. Mdhaffar, T. Chaari, K. Larbi, M. Jmaiel and B. Freisleben, “IoT-based health monitoring via LoRaWAN,” IEEE EUROCON 2017 -17th International Conference on Smart Technologies, Ohrid, Macedonia, 2017, pp. 519-524.

W. Manatarinat, S. Poomrittigul and P. Tantatsanawong, “Narrowband-Internet of Things (NB-IoT) System for Elderly Healthcare Services,” 2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST), Luang Prabang, Laos, 2019, pp. 1-4.

Y. YIN, Y. Zeng, X. Chen, and Y. Fan, “The internet of things in healthcare: An overview,” Journal of Industrial Information Integration, vol. 1, pp. 3–13, Mar. 2016.

X. Zhang, M. Zhang, F. Meng, Y. Qiao, S. Xu, and S. Hour, “A Low-Power Wide-Area Network Information Monitoring System by Combining NB-IoT and LoRa,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 590–598, Feb. 2019.

T. Xu, W. Sun, S. Lu, K. Ma, and X. Wang, “The real-time elderly fall posture identifying scheme with wearable sensors,” International Journal of Distributed Sensor Networks, vol. 15, no. 11, Nov. 2019.

P. Chaudhary, V. Kashyap, N. Sonwal, P. Panwar, M. Dadheech, M. Bhatt, and M. Jain. “Analysis of Network Traffic Using Wireshark. Journal of Computer Networks,” International Conference on

Muti-Disciplinary Application & Research Technologies (ICMART), vol.10, May. 2023.

F. Hussain, F. Hussain, M. Ehatisham-ul-Haq, and M. A. Azam, “Activity-Aware Fall Detection and Recognition Based on Wearable Sensors,” IEEE Sensors Journal, vol. 19, no. 12, pp. 4528–4536, Jun. 2019.

J. He, C. Hu, and X. Wang, “A Smart Device Enabled System for Autonomous Fall Detection and Alert,” International Journal of Distributed Sensor Networks, vol. 12, no. 2, Feb. 2016.

S. M. Riazul Islam, Daehan Kwak, M. Humaun Kabir, M. Hossain, and Kyung-Sup Kwak, “The Internet of Things for Health Care: A Comprehensive Survey,” IEEE Access, vol. 3, pp. 678–708, 2015.