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undergraduate thesis
Senzorski sustav za praćenje vitalnih znakova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:803507
Subotić, Lea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Subotić, L. (2023). Senzorski sustav za praćenje vitalnih znakova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:803507

Subotić, Lea. "Senzorski sustav za praćenje vitalnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:803507

Subotić, Lea. "Senzorski sustav za praćenje vitalnih znakova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:803507

Subotić, L. (2023). 'Senzorski sustav za praćenje vitalnih znakova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:803507

Subotić L. Senzorski sustav za praćenje vitalnih znakova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:803507

L. Subotić, "Senzorski sustav za praćenje vitalnih znakova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:803507

Metadata
TitleSenzorski sustav za praćenje vitalnih znakova
Title (english)Sensing system for vital sign monitoring
AuthorLea Subotić
MentorMarko Bosiljevac (mentor)
Committee memberMarko Bosiljevac (predsjednik povjerenstva)
Committee memberIvana Žeger (član povjerenstva)
Committee memberFilip Turčinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad daje pregled implementiranog sustava za daljinski nadzor pacijenata koji koristi senzor i mikrokontroler povezan s cloud platformom za mjerenje disanja. Prvo je definirano što je daljinski nadzor pacijenata te njegova važnost u zdravstvenoj njezi pacijenata. Nakon toga su navedene sve komponente sustava za nadzor pacijenata: fizičkog dijela sustava, platforme u oblaku i komunikacije između njih. Fizički dio sustava kontinuirano prikuplja podatke o vitalnim znakovima pomoću Dopplerovog radarskog senzora i IoT mikrokontrolera. Podaci se potom šalju na platformu u oblak gdje se pohranjuju, obrađuju i analiziraju, čime se omogućuje kvalitetna vizualizacija u stvarnom vremenu. Zaštita podataka postignuta je šifriranjem na fizičkoj strani sustava, a dešifriranje se odvija na platformi. Također, implementirana je zaštita podataka tijekom prijenosa korištenjem algoritama enkripcije i dekripcije koji implementiraju XOR šifru. Senzor i mikrokontroler koriste se za prikupljanje podataka, dok se cloud platforma koristi za pohranu podataka, a MATLAB alati za obradu i prikaz podataka.
Abstract (english)
This work provides an overview of an implemented remote patient monitoring system that uses a sensor and a microcontroller connected to a cloud platform for respiration measurements. Firstly, remote patient monitoring and its significance in patient healthcare was defined. Following that, all components of the patient monitoring system were listed: the physical part of the system, the cloud platform, and the communication between them. The physical part of the system continuously collects vital sign data using a Doppler radar sensor and an IoT microcontroller. The data is then sent to the cloud platform where it is stored, processed, and analyzed, enabling quality real-time visualization. Data protection is achieved by encrypting on the physical side of the system, with decryption taking place on the platform. Furthermore, data protection during transmission has been implemented using encryption and decryption algorithms that implement the XOR cipher. The sensor and microcontroller are used for data collection, while the cloud platform is used for data storage, and MATLAB tools are used for data processing and visualization.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:803507
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 10:33:33