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master's thesis
Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta
2020. urn:nbn:hr:200:851318
Brekalo, Bruno
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Brekalo, B. (2020). Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:851318

Brekalo, Bruno. "Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:851318

Brekalo, Bruno. "Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:851318

Brekalo, B. (2020). 'Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:851318

Brekalo B. Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:851318

B. Brekalo, "Razvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:851318

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Metadata
TitleRazvoj sustava za prikupljanje podataka, praćenje i analizu zdravstvenog stanja pacijenta
Title (english)Development of the system for data collection, monitoring and analysis of patient's health conditions
AuthorBruno Brekalo
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
Committee memberTomislav Keser (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2020-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
U današnje vrijeme, medicina se zasniva na velikom broju različitih biomedicinskih podataka koji su preduvjet uspješnog dijagnosticiranja i liječenja. Prikupljanje i analiza tih podataka ključni su za medicinu, te je mali dio tog problema prikazan i u ovom radu. Razvijeni sustav omogućuje prikupljanje podataka poput tjelesne temperature, krvnog tlaka, zasićenosti krvi kisikom, pulsa, izrada EKG-a, izrada EMG-a te izrada grafa elektrodermalne aktivnosti kože. Sustav je zasnovan na mikroupravljaču Arduino s pripadajućom senzorskom platformom, a on komunicira s računalom Raspberry Pi na kojem se obavlja obrada podataka. Programski dio sustava sastoji se od dva programa, jedan za prikupljanje podataka sa senzora, a drugi za analizu prikupljenih podataka. Postupak strojnog učenja k-NN primijenjen je na tjelesnu temperaturu te puls, odnosno da bi uređaj mogao pratiti korisnikove podatke kroz određen vremenski period i prilagoditi se korisniku. Uređaj također obavješćuje korisnika ukoliko bilo koji od izmjerenih podataka odstupa od normalnih vrijednosti. Ispitivanjem rada uređaja u stvarnim uvjetima utvrđeno je da uređaj ima odstupanja od stvarnih vrijednosti oko 5% te da se sustav može koristiti samo u informativne svrhe.
Abstract (english)
Nowadays, medicine is based on a large number of different biomedical data that are a prerequisite for successful diagnosis and treatment. Acquiring the biomedical data and analyzing it is crucial for medicine, and a small part of this problem is presented in this paper. The developed system enables the collection of data such as body temperature, blood pressure, oxygen saturation, pulse, ECG, EMG and skin electrodermal activity graph. The system is based on an Arduino microcontroller with an associated sensor platform, and it communicates with Raspberry Pi computer on which data is processed. Software part of the system is comprised of two programs, one for collecting data from sensors and the other for analyzing collected data. The k-NN machine learning algorithm was applied to body temperature and pulse, that is, the device could track the user's data over a period of time and adapt to the user. The device also notifies the user if any of the measured data deviates from normal values. When testing the device in real conditions, it was found that the device has deviations from the actual values of about 5% and that the system can be used for informational purposes only.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:851318
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-09-17 10:09:48