Thesis Details

Real-Time Processing of Intracranial EEG Signals

Bachelor's Thesis Student: Begáň Patrik Academic Year: 2021/2022 Supervisor: Černocký Jan, prof. Dr. Ing.
Czech title
Real-time processing of intracranial EEG signals
Language
English
Abstract

In this thesis, we designed and implemented a tool that is able to process intracranial EEG signals in real-time. That is done by applying functions for computing various iEEG biomarkers implemented in python library Epycom on the incoming data stream and storing the results into the database. We compared results computed by our tool against the offline computations and evaluated if real-time signal processing is suitable for clinical practice. 

Keywords

EEG signals, epilepsy, EEG processing, intracranial EEG, real-time signal processing, relative entropy, St Anne's Hospital Brno, pre-surgical assessment, localization of epileptogenic tissue, epycom library

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
15 June 2022
Reviewer
Malik Aamir Saeed, Ph.D.
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Citation
BEGÁŇ, Patrik. Real-Time Processing of Intracranial EEG Signals. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-15. Supervised by Černocký Jan. Available from: https://www.fit.vut.cz/study/thesis/25242/
BibTeX 
@bachelorsthesis{FITBT25242,
    author = "Patrik Beg\'{a}\v{n}",
    type = "Bachelor's thesis",
    title = "Real-Time Processing of Intracranial EEG Signals",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/25242/"
}

Theses

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