A portable and low-cost electroencephalography device with automated autism diagnosis
Date
2021-05
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Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by
challenges in speech and communication, impairment in social skills, and repetitive
behavior. Autistic children in Africa have very severe symptoms of autism due to the
lateness in the diagnosis and treatment of autism on the continent. This work explores the
use of a portable, low-cost electroencephalography (EEG) device with automated diagnosis
as a means of expediting the process of autism diagnosis in Africa. This work compares two
instrumentation amplifier designs for the EEG system. It also compares k-nearest neighbor,
support vector machine, decision tree, and random forest as classifiers for providing
automated diagnosis for the EEG system. The resulting design was a portable EEG system
that can be interfaced with a smartphone for real-time visualization of the EEG signals and
automated diagnosis with an accuracy of 85.1%.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, May 2021
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Capstone project
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Keywords
portable EEG device, diagnosis