EEG and other Brain-Computer Interfaces (BCI) are seeing increased use in cognitive neuroscience because of the powerful neuroimaging data they deliver. In particular, wearable neuroimaging techniques, or "wearables", have enabled prolonged, non-invasive recordings in motion-rich environments. Two techniques - electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) - have been widely commercialized due to being non-invasive and low-cost. However, limitations in their technology, namely variable signal quality and susceptibility to artefacts, have prevented them from reaching their full potential. This paper proposes an adhesive, EEG-fNIRS wearable patch as a solution to these limitations. As measures of electrical and hemodynamic responses of the brain, respectively, EEG and fNIRS possess complementary features shown to be capable of creating more robust features. The paper also presents the EEG analysis of three proof-of-concept experiments and the device's performance compared to baseline metrics provided by the DSI-24 EEG Headset.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Marshall, Gregory
• Pacheco, Emily
• Rogers, Nathan
• Lafountain, Ian

Subject

• Health
• Computing
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 47366
• E-project-012722-223814

Advisor

• Farzin, Soroush
• Yousefi, Ali

Year

• 2022

UN Sustainable Development Goals

• 3 - Good Health and Well-being

Date created

• 2022-01-27

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright