Optimizing the Design of a Wearable EEG System for Improved Signal Quality

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.

Name thesis:degree_name

Bachelor

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Ngo, Megan

Advisor dc:contributor.advisor

• Kosmyna, Nataliya

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/151823

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/151823