EEG signaal analyse

Abstract

The mission of this project is to build a system with a high time resolution to investigate the common neurophysiological mechanism of abnormal brain functioning clustering groups of pathologies with EEG-recorded parameters in conjunction with subjective parameters which are acquired after software defined forced awakes during the sleepcycli.

Most sleep-EEG measurement systems at home are not built for diagnostics but mainly for personal interests, hence a low time resolution for these systems is sufficient. However, having a low time resolution makes these systems far from ideal as medical diagnostic sensors.

The unavailability of diagnostic home measurement systems lead to the design of a wireless EEG-sensor which transmits the measured signals towards the real-time device 'NI myRIO' from National Instruments where the signals are processed. The EEG-sensor exists out of a microcontroller, amplifier, low pass filter and RN-42 Bluetooth module which also resides on the 'NI myRIO'. The microcontroller samples synchronously the amplified and filtered EEG signals and transmits them immediately. In LabView the signals are filtered into different kinds of brainwaves and processed. If certain conditions of the brainwaves are met they will be acted upon.

This EEG measurement system is, not only because of its high time resolution and conditional actions, an excellent medical sensor. It also creates many opportunities for future applications such as EEG processing smartphone applications thanks to its flexible software.