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A Healthcare Monitoring System Design for Elderly Living Alone

Year 2024, Volume: 7 Issue: 2, 81 - 90, 31.12.2024
https://doi.org/10.70030/sjmakeu.1552983

Abstract

Due to advancements in the field of medicine, the elderly population has significantly increased around the world. Since the young population is also working, elderly people are left alone at home. Problems such as Alzheimer's, sleepwalking, and decreased mobility in these elderly individuals living alone reduce the quality of life of both individuals and their families. This study aims to develop a specialized tracking system to address issues faced by elderly individuals, such as getting lost while living alone. Nowadays, thanks to GPS technology, it is possible to monitor individuals easily even from our phones. It will be easier to monitor places in the house where there is a high probability of falling and by using an infrared sensor to control the entrances and exits of the house. It is clearly seen that older people prefer simple rather than complex technological products when using them. For this reason, a design has been made that will be sufficient to carry with you without having to make any adjustments in the mobile application.

References

  • Gogate, U., Bakal, J. (2018). Healthcare monitoring system based on wireless sensor network for cardiac patients. Biomedical and Pharmacology Journal, vol. 11, no. 3.pp. 1681–1688.
  • Rotariu, C., Costin, H., Andruseac, G., Ciobotariu, R., Adochiei, F. (2011). An integrated system for wireless monitoring of chronic patients and elderly people. In 15th International Conference on System Theory, Control and Computing, pp. 1–4.
  • Sundara, B., Sarvepalli, K. C., Davuluri, S. H. (2013). GSM Based patient monitoring system in NICU. IJRET Int. J. Res. Eng. Technolgy, vol. 2, no. 07. pp. 120-123.
  • Chenhui, Z., Huilong, D., Xudong, L. (2008). An integration approach of healthcare information system. International Conference of BioMedical Engineering and Informatics (BMEI 2008), pp.606-609.
  • Sanli, M. (2009). Mobile patient tracking system. Master's Thesis, Kocaeli University Institute of Science and Technology.
  • Yilmaz, A., Guven, A. (2017). Wireless patient monitoring system. Electronic Letters on Science and Engineering, 13(1), pp. 16-30.
  • Derelioglu, B. (2007). GPS and GPRS based wide area network application. Master's Thesis Gazi University Institute of Science and Technology.
  • Karaali, C., Yıldırım, O. (1996). Global positioning system (GPS). Pamukkale University Faculty of Engineering Journal of Engineering Sciences, Issue: 2, pp.103-108.
  • Aziz, K., Tarapiah, S., Ismail, S. H., Atalla, S. (2016). Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies. Proceedings of the 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pp. 1–7.
  • Greene, S., Thapliyal, H., Carpenter, D. (2016). IoT-based fall detection for smart home environments. IEEE International Symposium on Nanoelectronic and Information Systems, pp. 23-28.
  • Luo, X., Liu, T., Liu, J., Guo, X., Wang, G. (2012). Design and implementation of a distributed fall detection system based on wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, (1), 1-13.
  • Varady, P., Benyó, Z., Benyó, B. (2002). An open architecture patient monitoring system using standard technologies. IEEE Transactions on Information Technology in Biomedicine, 6(1), 95-98.
  • Uddin, M. S., Alam, J. B., & Banu, S. (2017). Real time patient monitoring system based on internet of things. 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 516-521.
  • Yavuz, S. O., Taşbaşı, A., Evirgen, A., Kara, A. (2012). Motion detector with PIR sensor usage areas and advantages. Istanbul Aydın University Journal (İAÜD), Issue 14, pp. 7-16.
  • Belakbir, A., Amghar, M., El Kouhen, N. (2012). An indoor positionning system based on the fusion of location information. Colloquium in Information Science and Technology (CIST), pp. 32-37.
  • Malik, A., Magar, A. M., Verma, H., Singh, M., Sagar, P (2019). A detailed study of an internet of things (IoT). International Journal of Scientific & Technology Research Volume 8, Issue 12. pp. 2989-2914.
  • Yilmaz, S., Sazak, B.S., and Cetin, S. (2010). Design and implementation of web-based training tool for a single switch induction cooking system using PHP. Electronics and Electrical Engineering. No. 3 (99).
Year 2024, Volume: 7 Issue: 2, 81 - 90, 31.12.2024
https://doi.org/10.70030/sjmakeu.1552983

Abstract

References

  • Gogate, U., Bakal, J. (2018). Healthcare monitoring system based on wireless sensor network for cardiac patients. Biomedical and Pharmacology Journal, vol. 11, no. 3.pp. 1681–1688.
  • Rotariu, C., Costin, H., Andruseac, G., Ciobotariu, R., Adochiei, F. (2011). An integrated system for wireless monitoring of chronic patients and elderly people. In 15th International Conference on System Theory, Control and Computing, pp. 1–4.
  • Sundara, B., Sarvepalli, K. C., Davuluri, S. H. (2013). GSM Based patient monitoring system in NICU. IJRET Int. J. Res. Eng. Technolgy, vol. 2, no. 07. pp. 120-123.
  • Chenhui, Z., Huilong, D., Xudong, L. (2008). An integration approach of healthcare information system. International Conference of BioMedical Engineering and Informatics (BMEI 2008), pp.606-609.
  • Sanli, M. (2009). Mobile patient tracking system. Master's Thesis, Kocaeli University Institute of Science and Technology.
  • Yilmaz, A., Guven, A. (2017). Wireless patient monitoring system. Electronic Letters on Science and Engineering, 13(1), pp. 16-30.
  • Derelioglu, B. (2007). GPS and GPRS based wide area network application. Master's Thesis Gazi University Institute of Science and Technology.
  • Karaali, C., Yıldırım, O. (1996). Global positioning system (GPS). Pamukkale University Faculty of Engineering Journal of Engineering Sciences, Issue: 2, pp.103-108.
  • Aziz, K., Tarapiah, S., Ismail, S. H., Atalla, S. (2016). Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies. Proceedings of the 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pp. 1–7.
  • Greene, S., Thapliyal, H., Carpenter, D. (2016). IoT-based fall detection for smart home environments. IEEE International Symposium on Nanoelectronic and Information Systems, pp. 23-28.
  • Luo, X., Liu, T., Liu, J., Guo, X., Wang, G. (2012). Design and implementation of a distributed fall detection system based on wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, (1), 1-13.
  • Varady, P., Benyó, Z., Benyó, B. (2002). An open architecture patient monitoring system using standard technologies. IEEE Transactions on Information Technology in Biomedicine, 6(1), 95-98.
  • Uddin, M. S., Alam, J. B., & Banu, S. (2017). Real time patient monitoring system based on internet of things. 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 516-521.
  • Yavuz, S. O., Taşbaşı, A., Evirgen, A., Kara, A. (2012). Motion detector with PIR sensor usage areas and advantages. Istanbul Aydın University Journal (İAÜD), Issue 14, pp. 7-16.
  • Belakbir, A., Amghar, M., El Kouhen, N. (2012). An indoor positionning system based on the fusion of location information. Colloquium in Information Science and Technology (CIST), pp. 32-37.
  • Malik, A., Magar, A. M., Verma, H., Singh, M., Sagar, P (2019). A detailed study of an internet of things (IoT). International Journal of Scientific & Technology Research Volume 8, Issue 12. pp. 2989-2914.
  • Yilmaz, S., Sazak, B.S., and Cetin, S. (2010). Design and implementation of web-based training tool for a single switch induction cooking system using PHP. Electronics and Electrical Engineering. No. 3 (99).
There are 17 citations in total.

Details

Primary Language English
Subjects Electrical Circuits and Systems
Journal Section Original Research Articles
Authors

Özlem Coşkun 0000-0001-8800-4433

Early Pub Date November 26, 2024
Publication Date December 31, 2024
Submission Date September 19, 2024
Acceptance Date November 5, 2024
Published in Issue Year 2024 Volume: 7 Issue: 2

Cite

APA Coşkun, Ö. (2024). A Healthcare Monitoring System Design for Elderly Living Alone. Scientific Journal of Mehmet Akif Ersoy University, 7(2), 81-90. https://doi.org/10.70030/sjmakeu.1552983