Istraživanje primjene suvremenih bežičnih tehnologija mjerenjem moždanih valova

master's thesis

• Title (english): Research of Application of Modern Wireless Technologies by Brain Waves Measurement
• Author: Kristijan Pavlović
• Mentor: Dina Šimunić (mentor)
• Committee member: Dina Šimunić (predsjednik povjerenstva)
• Committee member: Robert Nađ (član povjerenstva)
• Committee member: Željko Ilić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-09-18, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Glavni cilj rada je bio istražiti i prenamijeniti jednostavan EEG uređaj u bežični daljinski upravljač pogonjen moždanim valovima. Opisana je fizionomija i osnovno funkcioniranje mozga te način promatranja i mjerenja moždane električne aktivnosti. Razložene su moderne metode klasifikacije moždanih valova te vrste njihovog treniranja kroz neurofeedback. Proučena je i objašnjena fizika uzemljenja te njen utjecaj na ljudsku fiziologiju i EEG signale. Uz pomoć Arduino mikroprocesora pokazan je primjer praćenja promjena moždane aktivnosti u stvarnom vremenu te primjer sustava koji mijenja TV program promjenom moždanih valova. Ustanovljene su prednosti i mane ovakvog sustava.

Abstract (english)

The main goal of this thesis was to explore and rearrange a simple EEG device into a wireless remote control powered by brainwaves. The physiognomy and basic functioning of the brain are described and the way of observing and measuring brain electrical activity. Modern methods of classification of brain waves and their training through neurofeedback have been explained. The grounding physics and its influence on human physiology and EEG signals have been studied. With the help of the Arduino microprocessor, an example of monitoring changes in brain activity in real time is shown, as well as an example of a system that changes the TV program by changing brain waves. The advantages and disadvantages of such a system have been established.

• Keywords: EEG; uzemljenje; Arduino; LED dioda; mozak; neuron; moždani valovi; cirkadijarni ritam; neurofeedback; Force Trainer
• Keywords (english): EEG; grounding/earthing; Arduino; LED diode; brain; neuron; brain waves; circadian rhythm; neurofeedback; Force Trainer
• Language: croatian
• URN:NBN: urn:nbn:hr:168:294681
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 23:43:39