15. A MULTI-CHANNEL EEG SYSTEM FEATURING SINGLE-WIRE DATA AGGREGATION VIA FM-FDM TECHNIQUES

Department: Electrical & Computer Engineering
Research Institute Affiliation: Agile Center for Wearable Sensors (CWS)
Faculty Advisor(s): Patrick P. Mercier

Primary Student
Name: Julian Alexander Warchall
Email: jwarchal@ucsd.edu
Phone: 703-798-7954
Grad Year: 2018

Abstract
Conventional EEG systems are extremely power hungry due to a reliance on high resolution analog-to-digital converters (ADCs) to cover their required dynamic range. This poster presents a novel architecture for acquiring multi-channel high-resolution EEG using low power techniques. Instead of digitizing the output of each analog front-end (AFE) amplifier with an individual ADC, a voltage-controlled oscillator is used to generate an up-converted frequency-modulated (FM) signal at a unique carrier frequency. All channels then share a single wire via frequency-domain multiplexing (FDM), enabling a rugged mechanical design. The composite FM signal is then digitized with a single ADC optimized for time-domain resolution (1 MHz, 12 bits) rather than employing multiple ADCs optimized for voltage-domain resolution (1 kHz, 16-24 bits), thereby enabling a low-power implementation. To validate this approach, a discrete prototype is developed and achieves 75 dB of dynamic range per channel.

Industry Application Area(s)
Aerospace, Defense, Security | Electronics/Photonics | Life Sciences/Medical Devices & Instruments

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