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Title:Uporaba platforme Raspberry Pi in interneta stvari za zdravstvene namene : diplomsko delo
Authors:ID Slatinek, David (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf VS_Slatinek_David_2022.pdf (2,94 MB)
MD5: 0603F735F2E4689B5ED2ED95678D86EB
PID: 20.500.12556/dkum/a7bebb24-c2c8-4d3a-880e-5619beed5c78
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu predstavimo uporabo računalnika Raspberry Pi in interneta stvari za zdravstvene namene, s čimer omogočimo merjenje srčnega utripa, nivoja kisika v krvi, elektrokardiograma, telesne temperature skupaj s temperaturo okolice in vlažnostjo. Najprej predstavimo področje dela, med kar spadajo vgrajeni sistemi, operacijski sistem Linux, zaledni sistemi s spletnimi vmesniki in podatkovnimi bazami ter čelni sistemi skupaj s Flutterjem. Nato opišemo zasnovo rešitve, predstavimo uporabljene senzorje ter prikažemo razvoj podatkovne baze in razvoj spletnega vmesnika. Pokažemo izdelavo modula za nalaganje podatkov in mehanizem za opozarjanje na napake, zatem pa opišemo razvoj mobilne aplikacije. Na koncu analiziramo rešitev.
Keywords:zdravje, internet stvari, Raspberry Pi, GraphQL, Flutter
Year of publishing:2022
Place of performance:Maribor
Publisher:[D. Slatinek]
Number of pages:1 spletni vir (1 datoteka PDF (XIII, 70 f.))
Source:Maribor
PID:20.500.12556/DKUM-82004 New window
UDC:004.777(043.2)
COBISS.SI-ID:115624451 New window
Publication date in DKUM:07.07.2022
Views:375
Downloads:132
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:28.06.2022

Secondary language

Language:English
Title:Using Raspberry Pi and the Internet of Things for healthcare
Abstract:In this thesis, we present the use of Raspberry Pi and the Internet of Things in healthcare applications, which enables the measurement of heart rate, blood oxygen level, electrocardiogram, and body temperature alongside ambient temperature and humidity. First, we introduce the scope of work and used technology, including embedded systems, the Linux operating system, back-end systems with application programming interfaces and databases, and front-end systems along with Flutter. We then describe the design of the solution, present the sensors used, and show database and web interface development. Next, we display the development of the data loading module and the error alerting mechanism. Afterward, we describe the development of the mobile application. In the end, we analyze the solution.
Keywords:health, internet of things, Raspberry Pi, GraphQL, Flutter


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