Optimizing the Design of a Wearable EEG System for Improved Signal Quality
Name
ngo-meganngo-sb-meche-2023-thesis.pdf
Description
Thesis PDF
Size
11.17 MB
Format
Adobe PDF
Checksum (MD5)
626cb0891caa6a8d906e7260e061f94c
Author(s)
Ngo, Megan
Advisor(s)
Kosmyna, Nataliya
Date Issued
June 2023
Publisher
Massachusetts Institute of Technology
Abstract
This thesis aims to evaluate the impact of various form factors and magnetic interference on the quality of EEG signals acquired by a wearable EEG device. In order to determine an optimal design that minimizes artifact contamination, various cognitive tasks were observed, and users provided feedback while data was collected. Signal quality was assessed based on the distribution of power across specific frequency bands. The EEG data collected from the glasses demonstrated high sensitivity in detecting brain activity while in the proximity to magnets. Limitations in distinguishing between different brain states were observed due to increased impedance and noise from the design changes. The results thereby call for further investigation and testing to isolate artifacts and improve the wearable EEG technology.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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In Copyright - Educational Use Permitted
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