A DATA DRIVEN APPROACH THROUGH IOMT BASED PATIENT HEALTHCARE MONITORING SYSTEM

E Veera Boopathy; M.A.Y Peer Mohamed Appa; S Pragadeswaran; D Karthick Raja; M Gowtham; R Kishore; P Vimalraj; K Vissnuvardhan

doi:10.70102/afts.2024.1631.009

Original scientific article

Published: September 2024 Environment

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https://doi.org/10.70102/afts.2024.1631.009

A DATA DRIVEN APPROACH THROUGH IOMT BASED PATIENT HEALTHCARE MONITORING SYSTEM

Abstract

The current circumstances underscore the pressing need to accelerate the adoption of Internet of Things platforms in realm of the medical field to improve the health of mankind. Given the present challenges, I propose the development of an Advancing healthcare monitoring system built on the foundation of Internet of Medical Things (IOMT). Advancing patients healthcare IOMT system serves as a communication conduit between patients and doctors, facilitated by the IoMT platform. This platform utilizes various medical sensors connected to a server through technologies such as WiFi and Bluetooth. The data collected and stored in the server is then leveraged to analyse patients' health conditions, guiding subsequent treatment protocols. In this proposed system, the microcontroller serves as an intermediary interface between the sensors and the server. This cutting-edge technology enables remote patient monitoring, eliminating the need for physical presence. Within the prototype, patients' summaries and information is supplied using an online platform. Through the adoption of Advancing Healthcare through Data-Driven IOMT Patient Monitoring, lives can be safeguarded from critical conditions, underscoring the vital importance of embracing such advanced technologies in healthcare.

Keywords:

IOMT,

sensors,

wi-fi,

medicine,

healthcare

References

Mishra SS, Rasool A. IoT health care monitoring and tracking: A survey. In: IEEE 3rd international conference on trends in electronics and informatics (ICOEI.

Boopathy EV, Akalaya C, Sathish S, Magesh M, Santhosh D. A Novel Portable Smart Prayer Assistant Using RFID. International Journal of Pharmaceutical Research. 09752366.

Aslam A, Curry E. A Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep Learning and Event-based Middleware: Approaches, Challenges, and Future Directions. Image and Vision Computing. 2021;106:104095.

Singh S, Nandan AS, Sikka G, Malik A, Vidyarthi A. A secure energy-efficient routing protocol for disease data transmission using IoMT. Computers and Electrical Engineering. 2022;101:108113.

Ashfaq Z, Rafay A, Mumtaz R, Hassan Zaidi SM, Saleem H, Raza Zaidi SA, et al. A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem. Ain Shams Engineering Journal. 2022;13(4):101660.

Malathi DrK, Nair SS, Madhumitha N, Sreelakshmi S, Sathya U, Priya MS. Medical Data Integration and Interoperability through Remote Monitoring of Healthcare Devices. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications. 2022;15(2):60–72.

Tarikere S, Donner I, Woods D. Diagnosing a healthcare cybersecurity crisis: The impact of IoMT advancements and 5G. Business horizons. (v;64(6):799-807).

Dwivedi R, Mehrotra D, Chandra S. Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of oral biology and craniofacial research. Mar;12(2):302-318.

Padmavilochanan D, Pathinarupothi RK, Menon KAU, Kumar H, Guntha R, Ramesh MV, et al. Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation. Smart Health. 2023;30:100428.

10.

Kodric Z, Vrhovec S, Jelovcan L. Securing edge-enabled smart healthcare systems with blockchain: A systematic literature review. Journal of Internet Services and Information Security. 11(4):19–32.

11.

Rani S, Kataria A, Kumar S, Tiwari P. Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review. Knowledge-Based Systems. 2023;274:110658.

12.

Rani S, Kumar S, Kataria A, Min H. Smart Health: An intelligent framework to secure IoMT service applications using machine learning. ICT Express. Apr;10(2):425-30.

13.

Ahmed SF, Alam MdSB, Afrin S, Rafa SJ, Rafa N, Gandomi AH. Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions. Information Fusion. 2024;102:102060.

14.

Jain S, Nehra M, Kumar R, Dilbaghi N, Hu TonyY, Kumar S, et al. Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases. Biosensors and Bioelectronics. 2021;179:113074.

15.

Rodríguez-Rodríguez I, Campo-Valera M, Rodríguez JV, Lok Woo W. IoMT innovations in diabetes management: Predictive models using wearable data. Expert Systems with Applications. 2024;238:121994.

16.

Vijayakumar P, Sivasubramaniyan G, Saraswati Rao M. Bibliometric Analysis of Indian Journal of Nuclear Medicine (2014 – 2018. Indian Journal of Information Sources and Services. 9(1):122–7.

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