Abstract
The proliferation of mobile health (mHealth) technologies has necessitated the development of embedded systems with stringent power efficiency, real-time processing, and compact design. This paper explores the principles and methodologies of low-power embedded system design tailored for mHealth applications such as continuous patient monitoring, wearable diagnostics, and mobile therapy systems. Key strategies including energy-aware sensor integration, power-efficient data processing, and wireless communication optimization are discussed. Moreover, the trade-offs between computational performance and energy consumption are analyzed in the context of various mHealth scenarios. The study also highlights challenges in secure data handling, regulatory compliance, and real-world deployment. This work aims to guide engineers and researchers in developing robust and sustainable embedded solutions for the rapidly evolving digital healthcare landscape.
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