Document Type : Reseach Article
Authors
1 Faculty of Electrical and Electronic Engineering, University Tun Hussien Onn Malaysia, Parit Raja, Batu Pahat, 86400, Malaysia.
2 Advanced Telecommunication Research Center (ATRC), Faculty of Electrical and Electronic Engineering, University Tun Hussien Onn Malaysia, Parit Raja, Batu Pahat, 86400, Malaysia.
3 Faculty of Technical Engineering, University Tun Hussien Onn Malaysia, Parit Raja, Batu Pahat, 86400, Malaysia.
Abstract
This study aimed to design a system utilizing an ESP8266 microcontroller, GPS, and MPU6050 sensors to observe and record the movement patterns of elderly patients. A scale prototype was developed by integrating an MPU6050 IMU sensor and a GPS module with an ESP8266 module configured for Wi-Fi communication with a nearby server. Data were collected and evaluated by sensors positioned on test subjects to imitate the movements of elderly patients. Upon successful real-time tracking of the test subject's movements, the data was transmitted to the network using Blynk and email applications for analysis and subsequent display. The collected data yielded valuable insights into the patient's conduct, encompassing frequent walking, pacing, and wandering. The utilization of this device has the potential to improve the safety and well-being of elderly patients and provide valuable data to healthcare professionals and caregivers through its real-time tracking capabilities.
Keywords
- [1] Guan, M. Shao, and S. Wu, “A remote health monitoring system for the elderly based on smart home gateway,” J Healthc Eng, vol. 2017, 2017.
- [2] Patel, H. Park, P. Bonato, L. Chan, and M. Rodgers, “A review of wearable sensors and systems with application in rehabilitation,” J Neuroeng Rehabil, vol. 9, no. 1, p. 21, 2012.
- [3] Evans et al., “Remote Health Monitoring for Older Adults and Those with Heart Failure: Adherence and System Usability,” Telemedicine Journal and e-Health, vol. 22, no. 6, p. 480, Jun. 2016.
- [4] Rahmani et al., “Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems,” 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015, pp. 826–834, Jul. 2015.
- [5] Navarro, E. Vidaña-Vila, R. M. Alsina-Pagès, and M. Hervás, “Real-Time Distributed architecture for remote acoustic elderly monitoring in Residential-Scale ambient assisted living scenarios,” Sensors (Basel), vol. 18, no. 8, p. 1, Aug. 2018.
- [6] Hamim, S. Paul, S. I. Hoque, M. N. Rahman, and I. Al Baqee, “IoT Based remote health monitoring system for patients and elderly people,” 1st International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2019, pp. 533–538, Feb. 2019.
- [7] M. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. S. Kwak, “The internet of things for health care: a comprehensive survey,” IEEE Access, vol. 3, pp. 678–708, Jun. 2015.
- [8] J. Cook and S. K. Das, “Smart Environments: Technology, Protocols and Applications,” Smart Environments: Technology, Protocols and Applications, pp. 1–404, Feb. 2005.
- [9] Pronomi Bora, p. Kanakaraja, B. Chiranjeevi, M. Jyothi Sri Sai, and A. Jeswanth,” Smart real time health monitoring using Arduino and Raspberry Pi,” Materials Today: Proceedings 46, pp 3855-3859, 2021.
- [10] M. Baig, H. GholamHosseini, and M. J. Connolly, “Mobile healthcare applications: system design review, critical issues and challenges,” Australas Phys Eng Sci Med, vol. 38, no. 1, pp. 23–38, Mar. 2015.
- [11] Al-khafajiy et al., “Remote health monitoring of elderly through wearable sensors,” Multimed Tools Appl, vol. 78, no. 17, pp. 24681–24706, Sep. 2019.
- [12] A. Durán-Vega et al., “An IoT System for Remote Health Monitoring in Elderly Adults through a Wearable Device and Mobile Application,” Geriatrics, vol. 4, no. 2, Jun. 2019.
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