Evolution of Low-Power Processor Architecture Enabling Extended Battery Life in Modern Wearable Healthcare Devices

This article examines the pivotal role of low-power processors in enabling the functionality and evolution of wearable healthcare devices. The article traces the development of energy-efficient microprocessors from early designs to current specialized architectures, highlighting key innovations that have dramatically reduced power consumption while enhancing computational capabilities. It explores various power optimization techniques including dynamic voltage and frequency scaling, sleep modes, energy harvesting integration, and specialized instruction sets tailored for health monitoring applications. The article extends to real-time data processing approaches, comparing local versus cloud processing strategies and examining edge computing implementations that balance performance with energy efficiency. The article also shows wireless communication protocols, data compression techniques, intelligent power management systems, and security implementations designed for minimal energy overhead. Finally, it discusses emerging processor technologies and their integration with flexible electronics and advanced sensors, emphasizing the transformative impact of power-efficient processing on the future of personalized healthcare.

Authors

Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i6.158411
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Evolution of Low-Power Processor Architecture Enabling Extended Battery Life in Modern Wearable Healthcare Devices

Sheetal Kaul
Technix International Journal for Engineering Research
Advanced Battery Technologies Research
article

Evolution of Low-Power Processor Architecture Enabling Extended Battery Life in Modern Wearable Healthcare Devices

Sheetal Kaul
article en

Abstract

This article examines the pivotal role of low-power processors in enabling the functionality and evolution of wearable healthcare devices. The article traces the development of energy-efficient microprocessors from early designs to current specialized architectures, highlighting key innovations that have dramatically reduced power consumption while enhancing computational capabilities. It explores various power optimization techniques including dynamic voltage and frequency scaling, sleep modes, energy harvesting integration, and specialized instruction sets tailored for health monitoring applications. The article extends to real-time data processing approaches, comparing local versus cloud processing strategies and examining edge computing implementations that balance performance with energy efficiency. The article also shows wireless communication protocols, data compression techniques, intelligent power management systems, and security implementations designed for minimal energy overhead. Finally, it discusses emerging processor technologies and their integration with flexible electronics and advanced sensors, emphasizing the transformative impact of power-efficient processing on the future of personalized healthcare.

Technix International Journal for Engineering ResearchVol. 12(6)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced Battery Technologies Research
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Evolution of Low-Power Processor Architecture Enabling Extended Battery Life in Modern Wearable Healthcare Devices — Sheetal Kaul · Technix International Journal for Engineering Research (2025) | TGRS Research Map | TGRS