Brezžični elektrookulografski merilni sistem

diplomsko delo

Blaž Kovačič (Author), Mitja Solar (Mentor), Iztok Kramberger (Co-mentor)

Abstract

Elektrookulografija je ena od metod, ki se v oftalmologiji uporabljajo za beleženje gibov oči. Temelji na meritvi potenciala roženice in mrežnice, ki obstaja med sprednjim in zadnjim delom človeškega očesa. Posledično je elektrookulograf je naprava za beleženje gibov oči. V diplomskem delu smo izdelali brezžični elektrookulografski merilni sistem, ki na računalniku prikazuje izmerjen signal – elektrookulogram. Zasnovali smo elektronsko vezje za zajem signala z inovativnimi senzorji EPIC ter vezje za filtriranje in brezžični prenos zajetega signala; prav tako smo izdelali računalniški program, ki v realnem času prikazuje zajet signal. Na koncu smo naredili meritve očesnih signalov večih subjektov in ugotovili, da je zajet elektrookulografski signal mogoče uporabiti v namen razpoznave očesnih kretenj, kar je lahko uporabno za ljudi s težjimi omejitvami v gibanju, na primer pri tetraplegiji.

Keywords

elektrookulograf;merilni sistemi;brezžični merilni sistemi;digitalna obdelava signalov;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[B. Kovačič]
UDC:	621.38.049(043.2)
COBISS:	37731075
Views:	424
Downloads:	35
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Wireless electrooculographic measurement system
Secondary abstract:	Electrooculography is one of the methods that is used in ophthalmology to measure eye movements. It is based on the measurement of corneo-retinal standing potential that exists between the front and the back of the eye. Subsequently an electrooculograph is a device that measures eye movements. In this thesis we created a wireless electrooculographic measurement system that displays the measured signal – electrooculogram – on the computer. We designed the electronic circuit for signal acqusition using innovative EPIC sensors; we also designed the circuit for filtering and wireless transfer of the acquired signal; finally, we designed the computer software that displays the measured signal in real time. In the end we performed eye signal measurements of multiple subjects and found out that the acquired electrooculographic signal may be used for eye gesture recognition, which can be useful for people with movement disabilities, such as in quadriplegia.
Secondary keywords:	electrooculograph;EPIC;BLE;Bluetooth Smart;EOG;digital signal processing;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Elektrotehnika
Pages:	X, 48 f., pril.
ID:	11936694