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Human behaviour monitoring system based on smartphone and bracelet data analysis
Mikulec, Marek ; Zvončák, Vojtěch (referee) ; Mekyska, Jiří (advisor)
There has been established new technological field using smart phones and wearable devices for medical research since the arrival of health 4.0. The main goal of this work is to design, implement and test new system for monitoring people´s behaviour using smart phone and wearable device. These smart compoments should oblige requirements of health~4.0. This work uses open source software AWARE Framework and data from Fitbit API. The final system enables gathering and sharing 36 measurable metrics from smart phone and wearable device. Furthermore it secures efective access to gathered data and puts particular emphasis on the security of the system. Finally the system was used to examine a patterns of REM (Rapid Eye Movement) sleep behaviour disorder.
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Patient assessment system based on mHealth techniques
Kulinich, Viacheslav ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
This bachelor thesis is focused on the possibility of examining patients using an electronic questionnaire based on mHealth techniques. In the first two chapters of this work is included the issue of patient examination, the function that must fulfill the electronic questionnaire, the research of existing types of mobile applications and the description of the selected type. The following chapters contain the process of creating web applications, implementation of client and server part, their communication, used security elements and brief description of graphical interface. The result is a functional progressive web application that has been tested successfully and is published on the Internet.
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System of secured actigraph data transfer and processing
Mikulec, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
The new Health 4.0 concept brings the idea of combining modern technologies from field of science and technology with research in healthcare and medicine. This work realizes a system of secured actigraph data transfer and preprocessing based on the concept of Health 4.0. The system is successfully designed, implemented, tested and secured. With the help of a non-invasive method of monitoring the movement and temperature of the subject using the GENEActiv actigraph allows the system to securely transfer, process and evaluate the subject's sleep data using the machine learning algorithm XGBoost. The proposed system is in accordance with the valid law of the Czech Republic and meets legal requirements.
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System of secured actigraph data transfer and processing
Mikulec, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
The new Health 4.0 concept brings the idea of combining modern technologies from field of science and technology with research in healthcare and medicine. This work realizes a system of secured actigraph data transfer and preprocessing based on the concept of Health 4.0. The system is successfully designed, implemented, tested and secured. With the help of a non-invasive method of monitoring the movement and temperature of the subject using the GENEActiv actigraph allows the system to securely transfer, process and evaluate the subject's sleep data using the machine learning algorithm XGBoost. The proposed system is in accordance with the valid law of the Czech Republic and meets legal requirements.
|
|
|
Patient assessment system based on mHealth techniques
Kulinich, Viacheslav ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
This bachelor thesis is focused on the possibility of examining patients using an electronic questionnaire based on mHealth techniques. In the first two chapters of this work is included the issue of patient examination, the function that must fulfill the electronic questionnaire, the research of existing types of mobile applications and the description of the selected type. The following chapters contain the process of creating web applications, implementation of client and server part, their communication, used security elements and brief description of graphical interface. The result is a functional progressive web application that has been tested successfully and is published on the Internet.
|
|
|
Human behaviour monitoring system based on smartphone and bracelet data analysis
Mikulec, Marek ; Zvončák, Vojtěch (referee) ; Mekyska, Jiří (advisor)
There has been established new technological field using smart phones and wearable devices for medical research since the arrival of health 4.0. The main goal of this work is to design, implement and test new system for monitoring people´s behaviour using smart phone and wearable device. These smart compoments should oblige requirements of health~4.0. This work uses open source software AWARE Framework and data from Fitbit API. The final system enables gathering and sharing 36 measurable metrics from smart phone and wearable device. Furthermore it secures efective access to gathered data and puts particular emphasis on the security of the system. Finally the system was used to examine a patterns of REM (Rapid Eye Movement) sleep behaviour disorder.
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