Next-Generation Embedded Systems for IoMT: Design Constraints and Opportunities

The Internet of Medical Things (IoMT) is transforming the healthcare sector through the integration of intelligent sensing devices, wearable systems, and networked medical equipment to facilitate advanced monitoring, diagnostics, and therapeutic interventions. This paper critically examines the technical challenges and recent technological advancements associated with the development of embedded systems tailored for IoMT applications. Major design constraints include real-time data acquisition and processing, low-power operation for prolonged device lifetime, hardware–software co-optimization, interoperability across heterogeneous platforms, and scalable network integration. Recent progress in miniaturized biomedical sensors, low-power wireless communication protocols (such as BLE, Zigbee, and LPWAN), and edge computing architectures has significantly enhanced system responsiveness, reliability, and distributed intelligence. These innovations enable continuous remote patient monitoring, data-driven personalized treatment strategies, and improved clinical decision support systems. Despite these advancements, security and privacy remain critical concerns due to the sensitive nature of medical data and the expanded attack surface of interconnected devices. Robust cryptographic frameworks, secure boot mechanisms, hardware-level authentication, intrusion detection systems, and strict compliance with healthcare regulatory standards are essential to ensure data integrity, confidentiality, and system resilience. This review synthesizes current literature, identifies existing research gaps, and highlights emerging trends aimed at developing secure, energy-efficient, interoperable, and scalable embedded architectures within the evolving IoMT ecosystem.