Authors :
S.A. Bagal; Anushri Katekhaye; Payal Bisane; Himanshu Dhone
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/2u5yv97f
Scribd :
https://tinyurl.com/bdcspy5f
DOI :
https://doi.org/10.38124/ijisrt/25mar665
Google Scholar
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Abstract :
Wireless health monitoring systems have transformed patient care through real-time tracking of vital signs,
enhancing emergency response, and streamlining hospital management. As chronic diseases become more common and the
need for remote healthcare grows, wireless technologies are essential for ongoing patient monitoring and prompt medical
response. This assessment examines the latest developments in IoT-connected devices, AI-driven analytics, and wireless
communication protocols including Wi-Fi, Bluetooth, Zigbee, LoRa, and 5G. By conducting a comparative literature
analysis, we evaluate the advantages of these technologies, such as better patient outcomes, increased data accessibility,
and diminished hospital strain. Moreover, we tackle significant issues including data protection, system compatibility, and
energy efficiency in wearable technology. Our research emphasizes budding trends in AI-powered predictive analytics,
cloud-based health management, and blockchain for safe patient data storage. As healthcare systems evolve, progress in
edge computing, 5G, and AI-based diagnostics is anticipated to improve the efficiency and security of wireless monitoring
solutions. This study offers an overview of the existing state of wireless health monitoring, its difficulties, and prospective
pathways.
Keywords :
Wireless Healthcare Monitoring, AI-Based Analytics, Real-Time Patient Monitoring, Wearable Sensors, Wireless Communication.
References :
- Abdulmalek, S., Nasir, A., Jabbar, W. A., Almuhaya, M. A. M., Bairagi, A. K., Khan, M. A.-M., & Kee, S.-H. (2022). IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review. Healthcare, 10(10), 1993. https://doi.org/10.3390/healthcare10101993
- H. M. Kaidi, M. A. M. Izhar, R. A. Dziyauddin, N. E. Shaiful and R. Ahmad, "A Comprehensive Review on Wireless Healthcare Monitoring: System Components," in IEEE Access, vol. 12, pp. 35008-35032, 2024, doi: 10.1109/ACCESS.2024.3349547.
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- T. Liang and Y. J. Yuan, "Wearable Medical Monitoring Systems Based on Wireless Networks: A Review," in IEEE Sensors Journal, vol. 16, no. 23, pp. 8186-8199, Dec.1, 2016, doi: 10.1109/JSEN.2016.2597312.
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- Ariq Naufal Rabbani, Budi Hadisujoto and Radon Dhelika “Motorized hospital bed for mobility of patients: a review on wheel type design” published in Journal of Engineering and Applied Science, 2024
- Md. Milon Islam · Ashikur Rahaman· Md. Rashedul Islam “Development of Smart Healthcare Monitoring System in IoT Environment” Published online: 26 May 2020 Springer Nature Singapore Pte Ltd 2020.
- Hazilah Mad Kaid, Mohd Azri Mohd Izhar, Rudzidatul Akmam Dziyauddin, Nur Ezzati Shaiful, And Robiah Ahmad, “A Comprehensive Review on Wireless Healthcare Monitoring: System Components” publication 16 February 2024 in IEEE , VOLUME 12, 2024
- Akila m, ashika s, rubini s “ wireless patient health monitoring using iot” Published in international journal of engineering and manufacturing science. Issn 2249-3115 vol.8, no.3, (2018).
Wireless health monitoring systems have transformed patient care through real-time tracking of vital signs,
enhancing emergency response, and streamlining hospital management. As chronic diseases become more common and the
need for remote healthcare grows, wireless technologies are essential for ongoing patient monitoring and prompt medical
response. This assessment examines the latest developments in IoT-connected devices, AI-driven analytics, and wireless
communication protocols including Wi-Fi, Bluetooth, Zigbee, LoRa, and 5G. By conducting a comparative literature
analysis, we evaluate the advantages of these technologies, such as better patient outcomes, increased data accessibility,
and diminished hospital strain. Moreover, we tackle significant issues including data protection, system compatibility, and
energy efficiency in wearable technology. Our research emphasizes budding trends in AI-powered predictive analytics,
cloud-based health management, and blockchain for safe patient data storage. As healthcare systems evolve, progress in
edge computing, 5G, and AI-based diagnostics is anticipated to improve the efficiency and security of wireless monitoring
solutions. This study offers an overview of the existing state of wireless health monitoring, its difficulties, and prospective
pathways.
Keywords :
Wireless Healthcare Monitoring, AI-Based Analytics, Real-Time Patient Monitoring, Wearable Sensors, Wireless Communication.