doktorska disertacija
Simon Jurič (Author), Borut Žalik (Mentor)

Abstract

Venepunkcija je eden izmed najbolj pogostih invazivnih posegov, ki ga opravlja medicinsko osebjo, v okviru katerega se lahko pojavi klinično stanje oteženega perifernega venskega dostopa. Ta za uspešnost odvzema venske krvi ali vstavitve venske kanile zahteva večkratne prepoznave primernih podkožnih ven in punkcije na perifernih delih telesa. Predlagane so bile številne izboljšave, ki bi zmanjšale število potrebnih punkcij (poskusov), med drugim vizualizacija oziroma prepoznava ven z uporabo bližnje-infrardeče spektroskopije kot najbolj perspektivna metoda, ki je že na voljo v obliki namenskih medicinskih naprav. Pomankljivosti zadnjih sta predvsem v njihovi ceni in omejeni mobilnosti. Porast uporabe in aplikativnost vse bolj napredne, zmogljive in cenovno dostopne mobilne tehnologije, mobilnih omrežij ter brezžičnih senzorjev sta v zadnjih letih vodila v številne inovacije na področju medicine in javnega zdravja ter posredno v razvoj novega področja, imenovanega m-zdravje. Doktorska disertacija obravnava problematiko učinkovitosti iskanja najboljših perifernih mest za odvzem venske krvi in predlaga izboljšavo v zasnovi nizkocenovnega modela za zaznavo in vizualizacijo podkožnih ven, ki temelji na bližnje-infrardeči spektroskopiji in ga je možno realizirati na standardni mobilni napravi. Disertacija povzema vse raziskovalne dejavnosti od zasnove modela, njegove realizacije v obliki prototipa, funkcionalne analize do ovrednotenja učinkovitosti na dveh praktičnih področjih uporabe. Predlagano aplikacijsko ogrodje in optimiziran model vizualizacije, ki temelji na iskanju in prepoznavi robov s pomočjo slikovnih filtrov razlike Gaussovih funkcij in Laplaceovi transformaciji Gaussovega filtra, omogočata brezstično vizualizacijo podkožnih ven na mobilnih napravah z operacijskim sistemom Android (različica vsaj 4.0). Rezultati ovrednotenja učinkovitosti in presoje sprejemljivosti prototipa (mVeinVision) kažejo potencialnost uporabe v izobraževanju in klinični praksi. Doktorska disertacija predstavlja znanstveno izhodišče za nadaljnje raziskave na področju nadgradnje trenutnega modela in njegove uporabe v praksi.

Keywords

mobilne aplikacije;bližnje-infrardeča spektroskopija;diagnostične naprave;izobraževanje;vrednotenje izvedljivosti;vrednotenje kakovosti;m-zdravje;venepunkcija;digitalna obdelava signalov;

Data

Language: Slovenian
Year of publishing:
Typology: 2.08 - Doctoral Dissertation
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [S. Jurič]
UDC: 681.785.57:004.383.3(043.3)
COBISS: 281704704 Link will open in a new window
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Other data

Secondary language: English
Secondary title: Near-infrared spectroscopy using a standard mobile device and its application in visualization of peripheral veins
Secondary abstract: Venipuncture is the process of obtaining intravenous access and is an everyday invasive medical procedure. Excessive venipunctures are a significant problem both in emergency rooms and during hospital stays. Near-infrared illumination devices improve venipuncture success rate but their availability is limited by economic cost and their mobility. Mobile devices, such as smartphones and tablets, are becoming increasingly affordable and are showing promise as diagnostic and monitoring devices for a range of medical conditions. M-health is an emerging field of practical solutions for improving healthcare using low-cost mobile devices and associated software solutions. However, their usage as a visualization aid for vascular access procedures has remained largely unexplored. This dissertation proposes a low-cost model for subcutaneous vein detection using near-infrared spectroscopy, which can be implemented on a standard mobile device. It summarizes all the research activities from the initial conceptual model definition to its prototype implementation and evaluation, including its efficacy and acceptance assesment as an educational tool for nursing-medical students, and as a diagnostic tool in clinical settings, to improve the success rate of vein location. The proposed application framework and the accompanying optimized vizualization model, which is based on edge detection techniques using the Laplace and the difference of Gaussians operators, enable real-time visualization of peripheral veins on a variety of Android-based devices (versions 4.0 and higher). The preliminary evaluations of the prototype (mVeinVision) suggest that the prototype has promising potential utility as a learning aid in the medical curriculum and as a tool for venipuncture in hospitals, particularly with patients who are known to be difficult cases. This dissertation serves as a scientific reference for future investigations of the model and its application on a larger numbers of participants.
Secondary keywords: mobile aplications;near-infrared spectroscopy;diagnostic device;health education;feasibility studies;m-health;venipuncture;digital signal procesing;Infrardeča spektroskopija;Disertacije;Vene;Vizualizacija;
URN: URN:SI:UM:
Type (COBISS): Doctoral dissertation
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages: XII, 147 str.
ID: 8890284