Analýza signálu EEG

Abstract

This diploma thesis aims to create EEG analysis software. Part of this software is set of reusable independent libraries for EEG analysis written in Python programming language. Application process data stored in Micromed trc file format or ASCII file format. Conception of this application and used design pattern allows to extend data storage format in future. Library written in python language wrap basic EEG processing algorithms such as FFT for spectrum analysis, support for digital filter design and advanced analysis methods based on fast fourier transform. User interface support analysis method choice from library over read data. Analyzed data are stored in trc file format, that is file format used by Micromed company. Software is written in a modular concept thus it can be extended in future with new analysis methods added into library that can be reused by the main application with user interface.