Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection

TL;DR

This paper introduces a new energy-efficient EDA monitoring system with adaptive gain, significantly improving accuracy and power consumption for stress detection in wearable health devices.

Contribution

The paper presents a novel adaptive gain EDA system that enhances measurement accuracy and reduces power consumption compared to traditional solutions.

Findings

Error rate below 1% in tests

Power consumption of 700μA at 3.7V

Effective long-term stress monitoring capability

Abstract

This paper presents a novel Electrodermal Activity (EDA) signal acquisition system, designed to address the challenges of stress monitoring in contemporary society, where stress affects one in four individuals. Our system focuses on enhancing the accuracy and efficiency of EDA measurements, a reliable indicator of stress. Traditional EDA monitoring solutions often grapple with trade-offs between sensor placement, cost, and power consumption, leading to compromised data accuracy. Our innovative design incorporates an adaptive gain mechanism, catering to the broad dynamic range and high-resolution needs of EDA data analysis. The performance of our system was extensively tested through simulations and a custom Printed Circuit Board (PCB), achieving an error rate below 1\% and maintaining power consumption at a mere 700$\mu$A under a 3.7V power supply. This research contributes significantly to the field of wearable health technology, offering a robust and efficient solution for long-term stress monitoring.