Human-Centric IoT for Health Monitoring in the Healthcare 5.0 FrameworkDescriptive Analysis and Directions for Future Research

Abstract

This Study explores the evolving role of the Internet of Medical Things (IoMT) in healthcare, specifically within the context of healthcare 5.0. It provides a comprehensive review of existing IoT-based health monitoring systems, highlighting their technological advancements and identifying critical gaps in human-centered design. While much of the research has focused on the development of hardware, software, and data transmission technologies, insufficient attention has been given to tailoring these systems to meet individual patient needs and preferences. Furthermore, long-term health monitoring and personalized data analytics are often overlooked. The paper proposes future research directions to address these gaps, including the integration of human-centered design principles in IoMT devices, the development of personalized biometrics profiles, and the application of statistical process control methods for continuous health monitoring. Additionally, it suggests incorporating machine learning and deep learning techniques to enhance data analysis and support real-time interventions. By emphasizing multi-biometrics monitoring and real-time alarm systems, the paper aims to provide a roadmap for more personalized, effective, and sustainable healthcare solutions in the era of Healthcare 5.0.