DESIGN OF LOW-POWER, HIGH-EFFICIENCY ANALOG CIRCUITS FOR WEARABLE HEALTH MONITORING DEVICES
Keywords:
Low-Power Circuits, Wearable Health Monitoring, Energy Harvesting, Signal-To-Noise Ratio, Analog Front-End Components, Battery Life OptimizationAbstract
This study presents the design and optimization of low-power, high-efficiency analog circuits for wearable health monitoring devices. The primary objective was to reduce power consumption while maintaining the required signal integrity for accurate bio-signal processing. The key components optimized in this study include amplifiers, filters, and analog-to-digital converters (ADCs), with particular focus on minimizing energy consumption without compromising performance. The results indicate that low-power amplifiers and ADCs, operating at sub-threshold voltage levels, achieved power consumption as low as 0.35 mW, while maintaining a signal-to-noise ratio (SNR) of over 50 dB. The combination of piezoelectric generators with thermoelectric generators and supplementary energy harvest technologies minimized system dependence on outside power sources through power generation output reaching a maximum of 21.6% of the total system output. The research confirms that multi-channel amplifiers maintain excellent signal fidelity (55.0 dB SNR) by using power at 1.25 mW. Different environmental tests showed that the system preserved its stability through minor decreases in performance levels during extremes of conditions. The integrated energy harvesting system maintains continuous operation for 200 hours due to which device operation duration is markedly extended. Current wearable electronic technology utilizes optimized power-saving approaches alongside energy collecting techniques for medical tracking device optimization according to the research findings. The ongoing development of wearable health technologies for continuous medical monitoring needs progress from this research and better energy sources together with higher signal quality and extended operational duration.
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Copyright (c) 2025 Fahad Ali, Imran Ali (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.


