Senzorski sustav za praćenje vitalnih znakova

undergraduate thesis

• Title (english): Sensing system for vital sign monitoring
• Author: Lea Subotić
• Mentor: Marko Bosiljevac (mentor)
• Committee member: Marko Bosiljevac (predsjednik povjerenstva)
• Committee member: Ivana Žeger (član povjerenstva)
• Committee member: Filip Turčinović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-09-13, 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: analiza podataka; dekripcija; Dopplerov efekt; daljinski nadzor; enkripcija; internet stvari - IoT; kontinuirani nadzor; obrada podataka; računalni oblak; radar; sigurnost podataka; vitalni znakovi; zaštita podataka
• Keywords (english): data analysis; decryption; Doppler effect; remote monitoring; encryption; internet of things - IoT; continuous monitoring; data processing; computer cloud; radar; data security; vital signs; data protection
• Language: croatian
• URN:NBN: urn:nbn:hr:168:803507
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 10:33:33