PhD Thesis Proposal: Gunnar C. Pope

Monday, July 23, 2018, 12:00–2:00pm

Rm. 201, MacLean ESC (Rett's Room)

“An Ultra-Low Resource System for Electrodermal Activity Monitoring”

Abstract

The work within this thesis addresses the research question of how low-resource digital design can be used to improve the size, power efficiency, and utility of wearable EDA sensors while maintaining high-quality physiological sensing capabilities. An ultra-low resource system for EDA measurement is presented that implements a quasi-digital sensor topology for measuring both the conductance and susceptance components of the EDA signal and requires no analog-to-digital converters or I and Q demodulation. Additionally, we apply on-board compression and storage of the EDA signal within 16- bit microcontroller to improve sensor size and power efficiency by removing the external data storage and transmission requirements for long-term EDA monitoring. The accuracy, precision, signal-to-noise ratio, and power efficiency of the presented system will be evaluated in-lab. The sensor will then be integrated into a field study monitoring EDA (and other biosignals) on a cohort having a low or high anxiety clinical classification and evaluated for data yield, signal quality, and usability.

Thesis Committee

For more information, contact Daryl Laware at daryl.a.laware@dartmouth.edu.