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undergraduate thesis
Sustav za prikupljanje biomedicinskih signala
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:337773
Novoselec, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Novoselec, F. (2017). Sustav za prikupljanje biomedicinskih signala (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:337773

Novoselec, Filip. "Sustav za prikupljanje biomedicinskih signala." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:337773

Novoselec, Filip. "Sustav za prikupljanje biomedicinskih signala." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:337773

Novoselec, F. (2017). 'Sustav za prikupljanje biomedicinskih signala', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:337773

Novoselec F. Sustav za prikupljanje biomedicinskih signala [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:337773

F. Novoselec, "Sustav za prikupljanje biomedicinskih signala", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:337773

Metadata
TitleSustav za prikupljanje biomedicinskih signala
Title (english)Biomedical Signal Acquisition System
AuthorFilip Novoselec
MentorMario Cifrek (mentor)
Committee memberMario Cifrek (predsjednik povjerenstva)
Committee memberŽeljka Lučev Vasić (član povjerenstva)
Committee memberKrešimir Friganović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U sklopu ovog završnog rada osmišljen i izveden je sustav za mjerenje biomedicinskih signala. Uređaj mjeri 3 vrste biomedicinskih signala, a to su elektroencefalografski, elektrokardiografski i elektromiografski. Kao mikroprocesorska platforma odabran je Raspberry Pi. Kako su mjereni signali izrazito malih amplituda značajan zahtjev sustava je bila niska razina šuma. Sustav odudara od standardnog mjernog sustava za biomedicinske signale po tome što se signal prevodi u digitalni oblik bez prethodnog pojačavanja njegove amplitude, kao što je obično slučaj. Kako bi se to bilo moguće sustav je temeljen na niskošumnom analogno-digitalnom pretvorniku AD7768-4. AD7768-4 je 24-bitni analogno-digitalni pretvornik te uz korištenje referentnog izvora od 4.096 V omogućava rezoluciju od 488 nV u izlaznom digitalnom signalu.
Abstract (english)
Biomedical signal acquisition system was designed and implemented as part of this Bachelor’s Thesis. The device is able to collect and measure 3 types of biomedical signals, which are electroencephalogram (EEG), electrocardiogram (ECG) and electromyogram (EMG). Raspberry Pi was chosen as a microprocessor platform. As the measured signals are of extremely small amplitudes, a significant attention was dedicated to making noise levels as low as possible. The system deviates from the standard biomedical signal measurement system by translating the signal into a digital form without amplifying its amplitude first, as is usually the case. In order to do so, the system was based on a low power analog-to-digital converter (ADC) AD7768-4. AD7768-4 is a 24-bit, low noise, ADC and, by using reference source of 4.096V, is able to provide resolution of 488 nV in the digital output signal.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:337773
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:27:17