National Repository of Grey Literature 14 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Deep learning based QRS delineator
Malina, Ondřej ; Ronzhina, Marina (referee) ; Smíšek, Radovan (advisor)
This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the thesis contains a brief introduction to the topic of machine and deep learning. The third part of the thesis contains a search of current approaches using methods based on deep learning to solve the detection of QRSd. The fourth part deals with the design and implementation of its own model of deep learning, able to detect the beginnings and ends of QRS complexes from ECG recordings. It describes the data preprocessing implemented in the MATLAB programming environment. The actual implementation of the model was performed in the Python using the PyTorch and NumPy moduls.
Deep learning based QRS delineator
Malina, Ondřej ; Hejč, Jakub (referee) ; Smíšek, Radovan (advisor)
This thesis deals with the issue of automatic measurement of the duration of QRS complexes in ECG signals. Special emphasis is then placed on the possibility of automatic detection of QRS complexes while exciting cardiac tissue with a pacemaker. The content of this work is divided into four logical units, where the first part deals with the heart as an organ. It describes the origin and spread of excitement in the heart, its possible pathologies and their manifestations in ECG recording, it also deals with pacing and measuring ECG recording during simultaneous pacing. The second part of the thesis contains a brief introduction to the topic of machine and deep learning. The third part of the thesis contains a search of current approaches using methods based on deep learning to solve the detection of QRSd. The fourth part deals with the design and implementation of its own model of deep learning, able to detect the beginnings and ends of QRS complexes from ECG recordings. It describes the data preprocessing implemented in the MATLAB programming environment. The actual implementation of the model was performed in the Python using the PyTorch and NumPy moduls.
Automatic Stress Detection Using Non-Eeg Biological Signal
Malina, Ondřej
This work deals with the issue of stress detection using non-EEG biosignals. The main goal of this work is to create a functional program in MATLAB programming language that would allow detection and classification of stress, from easily readable data acquired on commercially available devices. So that esults obtained by this algorithm can be used for predicting and preventing stress during daily routine activities.
Typology of the historical cultural landscape of the Czech Republic: methodology with a certificate from the Ministry of Culture
Ehrlich, Marek ; Kuča, Karel ; Kučová, Věra ; Pacáková, Božena ; Pavlátová, Marie ; Salašová, Alena ; Šantrůčková, Markéta ; Vorel, Ivan ; Weber, Martin ; Ehrlichová, Olga ; Fiřtová, Barbora ; Halamíčková, Alena ; Jonešová, Eva ; Králová, Vladimíra ; Kupka, Jiří ; Luhan, Čestmír ; Malina, Ondřej ; Matějka, Daniel ; Medková, Lucie ; Sedláček, Jozef ; Trpáková, Lenka ; Veith, Tomáš ; Veselovská, Věra ; Vondráčková, Simona ; Žallmannová, Eva
The new national typology of the historical cultural landscapes is created by 34 types of the historical cultural landscapes that exist in the Czech Republic. The typology is based on three categories of the cultural landscapes that were defined by the World Heritage Committee (UNESCO), i.e. designed, organically evolved and associative landscapes. The typology of the historical cultural landscapes could be used for identification, classification and evaluation of the historical cultural landscapes on the national level. The typology is applicable for the spatial identification of landscape with important cultural values that serve to the public interests in landscape protection. The typology could be also used for identification of the cultural landscapes in analysis for the spatial planning.
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Automatic stress detection using non-EEG biological signals
Malina, Ondřej ; Kolářová, Jana (referee) ; Smíšek, Radovan (advisor)
This work deals with the problem of stress detection using non-EEG biosignals. The first part deals with the definition of stress and related concepts. Describes possible views of the phenomenon of stress, mentions possible causes of stress, as well as physiological and psychological manifestations of short and long-term effects of stress. In addition, this work deals with several different methods used to detect stress with non-EEG signals. For this purpose, a short search of articles dealing with this topic is available in this paper. The last chapter of this work describes the algorithm design using the c-mean fuzzy method for detecting stress values in data obtained form five different non-EEG signals.
Contentment with Life - November 2016
Čadová, Naděžda ; Malina, Ondřej
In the November survey the Public Opinion Research Centre of the Institute of Sociology of the Academy of Sciences of the Czech Republic posed to all respondents a question: "How satisfied are you with your life? Are you very satisfied, rather satisfied, neither satisfied nor dissatisfied, rather dissatisfied, very dissatisfied?"
Concerns and preparations for pension – November 2016
Čadová, Naděžda ; Malina, Ondřej
In November, the Public Opinion Research Center of the Academy of Sciences interviewed citizens of the Czech Republic on topic of financial security in pension. Questions were focused not only on subjective concerns over lack of economic resources or trust in welfare state but also on actual preparations, namely investments and savings. The results suggest that the economic prosperity of the country in last few months reflected itself into optimism of the Czech population regarding to awaited retirement. Still, there is an alarmingly small number of people with bad living conditions who cannot save up for their future.
November 1989 in the view of Czech public - October 2016
Malina, Ondřej ; Čadová, Naděžda
On the occasion of coming anniversary, Public Opinion Research Centre investigated public opinion regarding the Velvet Revolution and its consequences to different areas of life in the Czech Republic.
Attitudes towards political parties in Czech society – September 2016
Malina, Ondřej
In September, the Public Opinion Research Centre asked a set of questions related to attitudes of the Czech citizens towards Czech political parties. The results suggest that majority of population adopts mainly negative attitudes towards them. Besides other things, people are convinced that political parties are interested in them only before elections; they do not feel an opportunity to change something by entering to a political party and suspect political parties from corruption. Since last year, the negative attitudes towards political parties strengthened.

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