Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress

Area of Science:

• * Computer Science and Engineering
• * Biomedical Engineering
• * Healthcare Technology

Background:

• * The Internet of Medical Things (IoMT) is a rapidly growing field within the Internet of Things (IoT), crucial for modern Smart Healthcare Systems (SHS).
• * The COVID-19 pandemic highlighted the need for remote health monitoring solutions, increasing the demand for IoMT devices to manage daily health records and enable proactive self-care.
• * IoMT integration in healthcare aims to significantly improve the accuracy, reliability, and overall productivity of electronic health devices.

Purpose of the Study:

• * To provide a comprehensive overview of IoMT, focusing on its application in SHS.
• * To analyze enabling technologies such as Radio Frequency Identification (RFID), Artificial Intelligence (AI), and blockchain within IoMT frameworks.
• * To evaluate IoMT architectures, health domains, sensors, protocol challenges, data collection techniques, and energy efficiency strategies.

Main Methods:

• * Comparative analysis of existing IoMT architectures and health domain applications.
• * Evaluation of various sensors, their merits, demerits, and application environments.
• * Study of protocol design challenges, data collection techniques, and energy efficiency parameters for AI-based IoMT frameworks.

Main Results:

• * Comparative analysis of different IoMT architectures and data collection techniques based on accuracy and error rates.
• * Graphical comparison of energy efficiency algorithms considering factors like energy consumption and packet loss.
• * Development of correlation equations to determine accuracy and efficiency in AI-based IoMT healthcare systems.

Conclusions:

• * IoMT offers significant potential for advancing smart healthcare through improved data accuracy and energy efficiency.
• * Addressing protocol design and data collection challenges is critical for successful IoMT implementation.
• * AI-driven IoMT frameworks demonstrate promise for enhancing remote health monitoring and patient care.