Date of Award

6-14-2018

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2018.

Department

Electrical Engineering

First Advisor

Shoba Krishnan

Abstract

In the past two decades, the prevalence of mental health illnesses and cognitive disorders has dramatically increased both in the United States and worldwide. While the problem is an expensive one, costing billions annually in lost productivity, the greatest cost is to the patient suffering from mental health problems. Those who have the means to seek professional help may be prescribed medications that often have negative side effects and merely mitigate symptoms of these disorders without treating the underlying cause. Fortunately, there is a new and revolutionary therapy available called neurofeedback. It uses electroencephalogram (EEG) signals to self- regulate brain function; however, it is a costly treatment that requires visits to a clinician’s office. For our project, we designed a device that allows for lower cost, home-based neurofeedback treatment.

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