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master's thesis
Mjerni sustav za sučelje između mozga i računala
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:330357
Medved, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Medved, M. (2015). Mjerni sustav za sučelje između mozga i računala (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:330357

Medved, Marko. "Mjerni sustav za sučelje između mozga i računala." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:330357

Medved, Marko. "Mjerni sustav za sučelje između mozga i računala." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:330357

Medved, M. (2015). 'Mjerni sustav za sučelje između mozga i računala', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:330357

Medved M. Mjerni sustav za sučelje između mozga i računala [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:330357

M. Medved, "Mjerni sustav za sučelje između mozga i računala", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:330357

Metadata
TitleMjerni sustav za sučelje između mozga i računala
Title (english)Measurement system for brain-computer interface
AuthorMarko Medved
MentorMario Cifrek (mentor)
Committee memberMario Cifrek (predsjednik povjerenstva)
Committee memberIgor Krois (član povjerenstva)
Committee memberHrvoje Džapo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Sučelje između mozga i računala predstavlja izuzetno zanimljivo područje istraživanja jer omogućava komunikaciju ljudi s računalom korištenjem namjere ili usmjerenosti pogleda. Primjena ovog područja je značajna osobito kod nepokretnih ljudi, ali i za učenje odnosno zabavu u virtualnoj stvarnosti. Upravo su najčešće metode za ostvarivanje sučelja između mozga i računala opisane u ovom radu. Proučeni su načini realizacije sustava za prikupljanje bioelektričkih signala mozga, te je kao osnova mjernog sustava izabran sklop ADS1299. Razvojni sustav ADS1299 sklopa je povezan s razvojnim sustavom temeljenim na mikrokontroleru STM32F407VGT6, te je ostvarena njihova međusobna komunikacija. Mikrokontroler je povezan s osobnim računalom gdje je izvedena programska podrška za upravljanje ADS1299 sklopom i prikazom osam kanala EEG-a u stvarnom vremenu. Programska podrška na osobnom računalu je izvedena korištenjem programskog paketa Labview. Korištenjem ovog sustava izvedena su odgovarajuća mjerenja osam kanala EEG-a pri čemu su dobiveni dobri rezultati. Uz EEG, istovremeno su provedena mjerenja i drugih bioelektričkih signala koja su također dala dobre rezultate.
Abstract (english)
Brain computer interface (BCI) is an extremely interesting area of research because it allows people to communicate with the computer using intent or their view orientation. The use of this area is significant especially with immobile people, but also for learning and entertainment in virtual reality. The most common methods for achieving an interface between the brain and a computer were described in this paper. Ways to implement the system for the collection of bioelectric brain signals were studied, as well as the measurement circuit ADS1299 which is basis of whole measurement system. Development system based on ADS1299 circuit was connected to the development system based on microcontroller STM32F407VGT6 and their mutual communication was realized. The microcontroller is connected to a PC where was developed software to control ADS1299 circuitry and display eight channels of EEG in real time. Software support on a personal computer was performed using LabView. The corresponding eight-channel EEG measurements were performed using this whole system and good results were obtained. Simultaneously with EEG, the measurements of other bioelectric signals were measured and also yielded good results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:330357
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2018-02-06 10:35:53