Papers
Topics
Authors
Recent
Search
2000 character limit reached

Revolutionizing Medical Data Transmission with IoMT: A Comprehensive Survey of Wireless Communication Solutions and Future Directions

Published 3 Apr 2025 in cs.IT and math.IT | (2504.02446v1)

Abstract: Traditional hospital-based medical examination methods face unprecedented challenges due to the aging global population. The Internet of Medical Things (IoMT), an advanced extension of the Internet of Things (IoT) tailored for the medical field, offers a transformative solution for delivering medical care. IoMT consists of interconnected medical devices that collect and transmit patients' vital signs online. This data can be analyzed to identify potential health issues, support medical decision-making, enhance patient outcomes, and streamline healthcare operations. Additionally, IoMT helps individuals make informed decisions about their health and fitness. There is a natural synergy with emerging communication technologies to ensure the secure and timely transmission of medical data. This paper presents the first comprehensive tutorial on cutting-edge IoMT research focusing on wireless communication-based solutions. It introduces a systematic three-tier framework to analyze IoMT networks and identify application scenarios. The paper examines the medical data transmission process, including intra-wireless Body Area Networks (WBAN), inter-WBAN, and beyond-WBAN communications. It also discusses the challenges of implementing IoMT applications, such as the longevity of biosensors, co-channel interference management, information security, and data processing delays. Proposed solutions to these challenges are explored from a wireless communication perspective, and future research directions are outlined. The survey concludes with a summary of key findings and insights.

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We found no open problems mentioned in this paper.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 3 tweets with 6 likes about this paper.