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Title:Aktivno spremljanje funkcionalnih parametrov človeškega zdravja
Authors:ID Pahole, Leon (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf MAG_Pahole_Leon_2025.pdf (5,01 MB)
MD5: DA53C62632F9F362120A0C13570F2AF5
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu smo analizirali parametre človeškega zdravja, kot so frekvenca dihanja, srčni utrip, in podobni. Zanimalo nas je, ali parametri skozi čas sledijo določenemu vzorcu in ali jih je možno napovedovati. Za dosego cilja smo najprej raziskali medicinsko interpretacijo parametrov. Nato smo preučili vse korake univariatne in multivariatne analize časovnih vrst: uvoz in predobdelava podatkov, analiza in napovedovanje vrednosti ter evaluacija rezultatov. Korake smo implementirali nad lastnimi podatki, merjenimi na napravi Fitbit Charge 5. Na podlagi rezultatov smo sklepali o uporabnosti in natančnosti uporabljenih modelov ter predlagali izboljšave.
Keywords:analiza časovnih vrst, napovedovanje časovnih vrst, parametri človeškega zdravja, univariatna analiza, multivariatna analiza
Place of publishing:Maribor
Publisher:[L. Pahole]
Year of publishing:2025
PID:20.500.12556/DKUM-91714 New window
UDC:004.93:61(043.2)
COBISS.SI-ID:229428227 New window
Publication date in DKUM:04.03.2025
Views:187
Downloads:45
Metadata:XML 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:29.01.2025

Secondary language

Language:English
Title:Monitoring of functional parameters of human health
Abstract:In the master's thesis we analyzed parameters of human health, such as breathing frequency, heart rate, and the like. We were interested in whether the parameters follow a certain pattern over time and whether it is possible to forecast them. To achieve the goal, we first investigated the medical interpretation of the parameters. Next, we examined all steps of univariate and multivariate time series analysis: data import and preprocessing, analysis and forecasting, and evaluation of results. We applied the steps onto our own data, which were measured on the Fitbit Charge 5 device. Based on the results, we drew conclusions about the usability and accuracy of the models used and suggested improvements.
Keywords:time series analysis, time series forecasting, functional health parameters, univariate analysis, multivariate analysis


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