Development of Automatic Reminder System for Geriatric Medicine Intake
Total Views: 414 | Total Downloads: 298 | Total Downloads: 0
The consumption of medicine is typical in geriatrics, having many problems related to medications. Geriatrics often forget to take their medicine, and this problem can be overcome by using an automatic reminder system. In this study, an automated reminder system is developed as an improved community element, acting as a system that can help geriatric in taking their medicine on time, thus, boosting their health condition. This reminder system also includes an interaction between the geriatrics and their caretakers. This reminder system includes Arduino UNO as the microcontroller, with the notification system, Blynk Application, a buzzer, and a light-emitting diode (LED) system. To make this reminder system more versatile, the buzzer will alarm during the medicine intake time, giving information to the elderly on which medicine to take. When the time has reached to take medication, the buzzer will produce a sound. Suppose the medicine box opens after the buzzer's sound and is detected by the passive infrared sensor (PIR sensor). In that case, the caretaker will receive a notification through the Blynk application that the geriatric already took medicine. On the contrary, if the medicine box is not open after 3 minutes following the buzzer's sound, which indicates that the geriatric did not take their medicine, the system will not send a notification to their caretakers on the status. This prototype is tested on ten users for its accuracy and effectiveness. It is believed that this system can provide geriatrics more alert in taking their medicine on time, enhancing their health status.
Netuveli, G., & Blane, D. (2008). Quality of life in older ages. British Medical Bulletin, 85(1), 113–126
Vijayan, M., & Reddy, P. H. (2016). Stroke, Vascular Dementia, and Alzheimer's Disease:Molecular Links. Journal of Alzheimer's Disease : JAD, 54(2), 427–443.
Khalil, A., Nizar, M. H. A., Anis, S., & Lai, K. W. (2018, December). Clinical Trial of a Digital Scoliometer Device for Scoliosis Diagnosis. In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) (pp. 102-107). IEEE.
Madeline R Vann, M., & Pat F. Bass, MD, M. (2014). The 14 Most Common Health Concerns for Seniors - Everyday Health.
Marek, K. D., & Antle, L. (2008). Medication Management of the Community-Dwelling Older Adult.
Yap, A. F., Hons, P., Thirumoorthy, T., London, F., Kwan, Y. H., & Hons, P. (2016). Journal of Clinical Gerontology & Geriatrics Medication adherence in the elderly. Journal of Clinical Gerontology & Geriatrics, 7(2), 64–67.
Yared, R., & Abdulrazak, B. (2016). Ambient Technology to Assist Elderly People in Indoor Risks. Computers, 5(4), 22.
Vinjumur, J. K., Becker, E., Ferdous, S., Galatas, G., & Makedon, F. (2010). Web-based medicine intake tracking application. In Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '10 (p. 1). New York, New York, USA: ACM Press.
Chutka, D. S., Takahashi, P. Y., & Hoel, R. W. (2004). Inappropriate Medications for Elderly Patients. Mayo Clinic Proceedings, 79(1), 122–139.
Gray, S. L., Mahoney, J. E., & Blough, D. K. (2015). Medication Adherence in Elderly Patients Receiving Home Health Services Following Hospital Discharge, 35, 539–545.
Haghighi, P., Gaber, M., Krishnaswamy, S., & Zaslavsky, A. (2007). An architecture for context-aware adaptive data stream mining. Proceedings of the International Workshop on Knowledge Discovery from Ubiquitous Data Streams (IWKDUDS07). IWKDUDS.
Hayes, T. L., Hunt, J. M., Adami, A., & Kaye, J. A. (2006). An Electronic Pillbox for Continuous Monitoring of Medication Adherence. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society (Vol. 1, pp. 6400–6403). IEEE.
Oster, S. P. (1996). Elderly patients' problems with medication, 255–256.
Pollack, M. E., Brown, L., Colbry, D., McCarthy, C. E., Orosz, C., Peintner, B., ... Tsamardinos, I. (2003). Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robotics and Autonomous Systems, 44(3–4), 273–282.
Tang, L., Zhou, X., Yu, Z., Liang, Y., Zhang, D., & Ni, H. (2011). MHS: A Multimedia System for Improving Medication Adherence in Elderly Care. IEEE Systems Journal, 5(4), 506–517.
Wan, D. (1999). Magic medicine cabinet: A situated portal for consumer healthcare. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1707, 352–355.
Wan, J., Zou, C., Ullah, S., Lai, C.-F., Zhou, M., & Wang, X. (2013). Cloud-enabled wireless body area networks for pervasive healthcare. IEEE Network, 27(5), 56–61.
How to Cite
Copyright (c) 2021 Aisyah Rahimi, Hamimi Zakri, Azira Khalil
This work is licensed under a Creative Commons Attribution 4.0 International License.
The copyright of this article will be vested to author(s) and granted the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, unless otherwise stated.