Mjerenje i analiza neurofiziološkog odziva na glazbeni podražaj

master's thesis

• Title (english): Measurement and analysis of neurophysiological response to music stimuli
• Author: Dominik Kisić
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Kristian Jambrošić (član povjerenstva)
• Committee member: Igor Krois (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-02-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Glazba je važna komponenta u današnjem društvu, ali se njezin utjecaj na fiziologiju i neurofiziologiju čovjeka se i dalje ne može kvantificirati niti egzaktno mjeriti. U ovom radu iznijet je prijedlog sistematičnog pristupa u istraživanju utjecaja glazbe na čovjeka s naglaskom na neurofiziologiju. Sistematizacija glazbe kao podražaja provjerena je kroz pilot eksperiment u kojem se mjerio utjecaj tempa na intenzitet moždanih ritmova. Priprema eksperimenta zahtijevala je sinkronizaciju sustava za reprodukciju glazbe i sustava za snimanje EEG--a. Sinkronizacija, zajedno s funkcijama za analizu signala, postavlja temelje za okruženje koje će biti moguće koristiti za buduća istraživanja u ovom području.

Abstract (english)

Music is an important component of today's society, but its influence on human physiology and neurophysiology is still not quantifiable and measurable. This thesis presents a proposal of a systematic approach in the research of the effect of music on human physiology, with the emphasis on neurophysiology. Systematization of music as experimental stimuli was tested with a pilot experiment. The experiment measured the influence of tempo variation of a single melody on the intensity of brain rhythms. Setup of the experiment required the synchronization of the sound reproduction system with an EEG recording system. This synchronization, together with the analysis functions provide the foundations of the framework that can be used for future research in this field.

• Keywords: EEG; glazba; tempo; FFT; obrada signala; EEG sinkronizacija
• Keywords (english): EEG; music; tempo; FFT; signal processing; EEG synchronization
• Language: english
• URN:NBN: urn:nbn:hr:168:435725
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 21:32:18