Sustav za prikupljanje biomedicinskih signala

undergraduate thesis

• Title (english): Biomedical Signal Acquisition System
• Author: Filip Novoselec
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Committee member: Krešimir Friganović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-10, 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: biomedicinski signali; elektroencefalografsko (EEG) pojačalo; elektrokardiografsko (EKG) pojačalo; elektromiografsko (EMG) pojačalo; Raspberry Pi
• Keywords (english): Biomedical signals; Electroencephalogram (EEG) amplifier; Electrocardiogram (ECG) amplifier; Electromyogram (EMG) amplifier; Raspberry Pi
• Language: croatian
• URN:NBN: urn:nbn:hr:168:337773
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 23:27:17