Projects:2017s1-157 Automated Classification of Brain Activity during Sleep

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Introduction

Project Description

Sleep is a state of reduced consciousness that can be classified into different stages, based on the level of brain activity as recorded via electroencephalogram (EEG). The aim of this project is to develop a automated sleep staging algorithm and validate on a large data set of overnight seep studies, using Matlab. An interest in signal processing, feature extraction and classification as well as sleep is required.

Project Group Members:

Woojin Jung Brock Hamann

Project Supervisors

Mathias Baumert Sarah Anita Immanuel

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