Real-time health monitoring using IoT devices for patients with chronic conditions

Sultan Mohammed Algfari; Abeer Saleh Alghamdi; Eman Ibrahim Alshaikh Ali; Abdulaziz Mohammed Almuhaylib; Mohammed Abdullah Alzaher; Mshaweh Mohammed Alshammry; Abdulalah Thabet Alharbi; Shayem Hamdan Alharbi; ‎‏Zaid Helal Alanazi; Mohammed Hamoud Alwaked; Abdulaziz Ahmad Alrashidi; Bander Batti Alrasheedi; Fayez Abdullah Hussain Alsarimi; Meshal Saeed M Alotaibi; Amani Ayyadhah Alanazi; Adel Zayed Alumtairi

doi:10.53730/ijhs.v4nS1.15149

Authors

Sultan Mohammed Algfari KSA, National Guard Health Affairs
Abeer Saleh Alghamdi KSA, National Guard Health Affairs
Eman Ibrahim Alshaikh Ali KSA, National Guard Health Affairs
Abdulaziz Mohammed Almuhaylib KSA, National Guard Health Affairs
Mohammed Abdullah Alzaher KSA, National Guard Health Affairs
Mshaweh Mohammed Alshammry KSA, National Guard Health Affairs
Abdulalah Thabet Alharbi KSA, National Guard Health Affairs
Shayem Hamdan Alharbi KSA, National Guard Health Affairs
‎‏Zaid Helal Alanazi KSA, National Guard Health Affairs
Mohammed Hamoud Alwaked KSA, National Guard Health Affairs
Abdulaziz Ahmad Alrashidi KSA, National Guard Health Affairs
Bander Batti Alrasheedi KSA, National Guard Health Affairs
Fayez Abdullah Hussain Alsarimi KSA, National Guard Health Affairs
Meshal Saeed M Alotaibi KSA, National Guard Health Affairs
Amani Ayyadhah Alanazi KSA, National Guard Health Affairs
Adel Zayed Alumtairi KSA, National Guard Health Affairs

Keywords:

Internet of Things (IoT), real-time health monitoring, chronic conditions, wearable devices, biosensors, remote patient monitoring, Bio-IoT, Nano-IoT

Abstract

Background: The healthcare sector is experiencing a transformative shift due to advancements in technology, particularly with the Internet of Things (IoT). IoT integration in healthcare is poised to revolutionize patient monitoring and management, particularly for individuals with chronic conditions. The Grand View Research Inc. analysis projected a significant increase in IoT penetration in healthcare, with a market value of approximately $409.9 billion by 2022. Aim: This article aims to explore the applications, benefits, and future potential of IoT devices in real-time health monitoring for patients with chronic conditions. Methods: The review encompasses various IoT-based health monitoring systems, including wearable and implantable devices, biosensors, and remote patient monitoring systems. The methodologies of existing IoT applications, such as the UbiMon project and various ZigBee-based systems, are analyzed to understand their impact on patient care. Results: IoT technologies facilitate real-time monitoring of vital signs, improve chronic disease management, and enhance emergency response systems. Examples include smart inhalers, ECG monitors, and remote surgery systems. The integration of IoT in healthcare has led to improved patient outcomes, reduced emergency waiting times, and better resource management in hospitals. Conclusion: IoT is transforming healthcare by enabling continuous, real-time monitoring of chronic conditions and enhancing overall patient care.

Downloads

Download data is not yet available.

References

Gope, P., & Hwang, T. (2015). BSN-Care: A secure IoT-based modern healthcare system using body sensor network. IEEE Sensors Journal, 16(5), 1368–1376. https://doi.org/10.1109/JSEN.2015.2426458 DOI: https://doi.org/10.1109/JSEN.2015.2502401

Ng, J. W. P., Lo, B. P. L., Wells, O., Sloman, M., Peters, N., Darzi, A., Toumazou, C., & Yang, G.-Z. (2004). Ubiquitous monitoring environment for wearable and implantable sensors (UbiMon). In Proceedings of the 6th International Conference on Ubiquitous Computing (UbiComp’04) (pp. 7–14). Nottingham, UK.

Dagtas, S., Pekhteryev, G., & Sahinoglu, K. (2007). Multistage real-time health monitoring via ZigBee in smart homes. Mitsubishi Electric Research Laboratories. DOI: https://doi.org/10.1109/AINAW.2007.263

Hong, J. H., Kim, N. J., Cha, E. J., & Lee, T. S. (2006). Development of ZigBee-based mobile healthcare system. IFMBE Proceedings, 6, JC27.

Park, J., Cho, J., Choi, J., & Nam, T. (2007). A ZigBee network based multi-channel heart rate monitoring system for exercising rehabilitation patients. IEEE. DOI: https://doi.org/10.1109/IEMBS.2007.4353088

Sokullu, R., Akkaş, M., & Cetin, H. (2010). Wireless patient monitoring system. In Proceedings of the Fourth International Conference on Sensor Technologies and Applications (pp. 179–184). DOI: https://doi.org/10.1109/SENSORCOMM.2010.35

Sesia, S., Baker, M., & Toufik, I. (2011). LTE - The UMTS long term evolution: From theory to practice. John Wiley & Sons. DOI: https://doi.org/10.1002/9780470978504

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010 DOI: https://doi.org/10.1016/j.future.2013.01.010

Want, R. (2011). Near field communication. IEEE Pervasive Computing, 10(3), 4–7. https://doi.org/10.1109/MPRV.2011.66 DOI: https://doi.org/10.1109/MPRV.2011.55

Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010 DOI: https://doi.org/10.1016/j.comnet.2010.05.010

Welbourne, E., Battle, L., Cole, G., Gould, K., Rector, K., Raymer, S., & Borriello, G. (2009). Building the internet of things using RFID: The RFID ecosystem experience. IEEE Internet Computing, 13(3), 48–55. https://doi.org/10.1109/MIC.2009.65 DOI: https://doi.org/10.1109/MIC.2009.52

Aktaş, F., Çeken, C., & Erdemli, Y. E. (2016). Nesnelerin İnterneti Teknolojisinin Biyomedikal Alanındaki Uygulamaları. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 4(1).

Aktaş, F., Çeken, C., & Erdemli, Y. E. (2015). Transmission of physiological signals with quality of service support by using wireless body area networks. In Medical Technologies National Conference (TIPTEKNO), 2015 (pp. 1–4). IEEE. DOI: https://doi.org/10.1109/TIPTEKNO.2015.7374581

Catarinucci, L., De Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., & Tarricone, L. (2015). An IoT-aware architecture for smart healthcare systems. IEEE Internet of Things Journal, 2(6), 515–526. https://doi.org/10.1109/JIOT.2015.2443046 DOI: https://doi.org/10.1109/JIOT.2015.2417684

Shen, J., Chang, S., Shen, J., Liu, Q., & Sun, X. (2018). A lightweight multi-layer authentication protocol for wireless body area networks. Future Generation Computer Systems, 78, 956–963. https://doi.org/10.1016/j.future.2017.09.037 DOI: https://doi.org/10.1016/j.future.2016.11.033

Gurjar, A. A., & Sarnaik, A. N. (2018). Heart attack detection by heartbeat sensing using Internet of Things: IoT. Volume, 5(03). DOI: https://doi.org/10.21884/IJMTER.2018.5124.XUTYA

Santoso, F. K., & Vun, N. C. H. (2015). Securing IoT for smart home system. In 2015 International Symposium on Consumer Electronics (ISCE) (pp. 1–2). https://doi.org/10.1109/ISCE.2015.7160996 DOI: https://doi.org/10.1109/ISCE.2015.7177843

TongKe, F. (2013). Smart agriculture based on cloud computing and IoT. Journal of Convergence Information Technology, Advanced Institute of Convergence IT, 8, 2. DOI: https://doi.org/10.4156/jcit.vol8.issue2.26

Kodali, R. K., Jain, V., Bose, S., & Boppana, L. (2016). IoT based smart security and home automation system. In 2016 International Conference on Computing, Communication and Automation (pp. 1286–1289). https://doi.org/10.1109/CCAA.2016.7813862 DOI: https://doi.org/10.1109/CCAA.2016.7813916

Khoi, N. M., Saguna, S., Mitra, K., & Ǻhlund, C. (2015). IReHMo: An efficient IoT-based remote health monitoring system for smart regions. In 2015 17th International Conference on E-health Networking, Application & Services (HealthCom) (pp. 563–568). https://doi.org/10.1109/HealthCom.2015.7459940 DOI: https://doi.org/10.1109/HealthCom.2015.7454565

Luo, J., Chen, Y., Tang, K., & Luo, J. (2009). Remote monitoring information system and its applications based on the Internet of Things. In BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future (pp. 482–485). IEEE. DOI: https://doi.org/10.1109/FBIE.2009.5405813

Akyildiz, I. F., Pierobon, M., Balasubramaniam, S., & Koucheryavy, Y. (2015). The internet of bio-nano things. IEEE Communications Magazine, 53(3), 32–40. https://doi.org/10.1109/MCOM.2015.7080473 DOI: https://doi.org/10.1109/MCOM.2015.7060516

Nakano, T., Suda, T., Moore, M., Egashira, R., Enomoto, A., & Arima, K. (2005). Molecular communication for nanomachines using intercellular calcium signaling. In Nanotechnology, 2005. 5th IEEE Conference on (pp. 478–481). IEEE. DOI: https://doi.org/10.1109/NANO.2005.1500804

Giné, L. P., & Akyildiz, I. F. (2009). Molecular communication options for long range nanonetworks. Computer Networks, 53(16), 2753–2766. https://doi.org/10.1016/j.comnet.2009.06.020 DOI: https://doi.org/10.1016/j.comnet.2009.08.001

Atakan, B., & Akan, O. B. (2007). An information theoretical approach for molecular communication. In Bio-Inspired Models of Network, Information and Computing Systems (pp. 33–40). IEEE DOI: https://doi.org/10.1109/BIMNICS.2007.4610077

Nakano, T., Moore, M. J., Wei, F., Vasilakos, A. V., & Shuai, J. (2012). Molecular communication and networking: Opportunities and challenges. IEEE Transactions on Nanobioscience, 11(2), 135–148. https://doi.org/10.1109/TNB.2012.2191615 DOI: https://doi.org/10.1109/TNB.2012.2191570

Chang, H. F., & Lin, T. K. (2019). Real-time structural health monitoring system using internet of things and cloud computing. arXiv preprint arXiv:1901.00670.