Thesis Details
Detekce životních funkcí s použitím radaru
Nowadays, it is very important to measure the vital signs of a person. Thanks to the data that we get from measure, we can control health of the person. It is usefull as well in sports, where we can control performance of sportsman. Different technologies are used for measurement. We can divide these technologies in contact and contactless methods. Contact methods have their disadvantage and that one is when patient can not feel comfortable and then the results may not be correct. Thats why we are currently using contactless methods that we try to develop to achiev highest possible accuracy. In this work are signal processing strategies using fast fourier transform and different filtration techniques for monitoring vital signs described using radar device and eventually their variatons. These strategies are then tested on real data and compared to achiev best result. The IWR1642Boost and Texas Instruments demo software is used for practical exploration.
vital sign monitoring, radar, doppler effect, signal processing, Texas Instruments, IWR1642Boost, MATLAB, Furier transform, frequency modulation
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT21341,
author = "D\'{a}vid K{\"{o}}tele\v{s}",
type = "Bachelor's thesis",
title = "Detekce \v{z}ivotn\'{i}ch funkc\'{i} s pou\v{z}it\'{i}m radaru",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/21341/"
}