Thesis Details

Aplikace pro sledování alkoholu v krvi

Bachelor's Thesis Student: Nácar Arthur Academic Year: 2020/2021 Supervisor: Hrubý Martin, Ing., Ph.D.
English title
An Application for Tracking of Alcohol in Blood
Language
Czech
Abstract

The aim of this thesis was to create mobile applications for iOS devices and a smartwatches with WatchOS that allows the user to monitor blood alcohol content over time. The application is implemented in Swift language and it uses Apple HealthKit framework to access the user's personal data. Predictions of blood ethanol content are calculated using a simulation model that takes into account the resorption phase of ethanol and uses the extended Widmark method to estimate the course of the elimination phase. The result of this work is an application that provides the user with information about the time needed to get a sober and detailed overview of the course of blood alcohol concentration using several available metrics.

Keywords

iOS, Apple, iPhone, mobile application, GPS, HealthKit, alcohol dilution, WatchOS, WatchKit, Swift, Widmark equation

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
15 June 2021
Reviewer
Zbořil František, doc. Ing., Ph.D.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Citation
NÁCAR, Arthur. Aplikace pro sledování alkoholu v krvi. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-15. Supervised by Hrubý Martin. Available from: https://www.fit.vut.cz/study/thesis/24042/
BibTeX 
@bachelorsthesis{FITBT24042,
    author = "Arthur N\'{a}car",
    type = "Bachelor's thesis",
    title = "Aplikace pro sledov\'{a}n\'{i} alkoholu v krvi",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24042/"
}

Theses

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