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Automatic detection of ischemia in ECG
Noremberczyk, Adam ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coronary artery disease (CAD) in frequency area. The first part of this thesis is orientated towards the theoretical knowledge. Describes the issue of ECG pathological changes. ECQ are converted to frequency area. Described statistical methods and methods for automatic detection of CAD and MI. Explained the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB®. This part focuses on counting and finding suitable parameters and making connection of band. At the end of the thesis UNS is used to detect ischemic parameters and the results are discussed. Average values for the best settings are 100% accuracy.
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Use of neural networks in classification of heart diseases
Skřížala, Martin ; Tannenberg, Milan (referee) ; Hrubeš, Jan (advisor)
This thesis discusses the design and the utilization of the artificial neural networks as ECG classifiers and the detectors of heart diseases in ECG signal especially myocardial ischaemia. The changes of ST-T complexes are the important indicator of ischaemia in ECG signal. Different types of ischaemia are expressed particularly by depression or elevation of ST segments and changes of T wave. The first part of this thesis is orientated towards the theoretical knowledges and describes changes in the ECG signal rising close to different types of ischaemia. The second part deals with to the ECG signal pre-processing for the classification by neural network, filtration, QRS detection, ST-T detection, principal component analysis. In the last part there is described design of detector of myocardial ischaemia based on artificial neural networks with utilisation of two types of neural networks back – propagation and self-organizing map and the results of used algorithms. The appendix contains detailed description of each neural networks, description of the programme for classification of ECG signals by ANN and description of functions of programme. The programme was developed in Matlab R2007b.
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Automatic detection of ischemia in ECG using artificial neural network
Noremberczyk, Adam ; Smital, Lukáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) as electrocardiography (ECG) classifiers of coronary artery disease (CAD) and myocardial infarction (MI) in ECG signal. The first part of this thesis is orientated towards the theoretical knowledge and describes the issue of ECG pathological changes, methods for automatic detection of CAD and MI and the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB® version R2010a. In graphical user interface development environment (Guide) is created application that is used to compare the success of automatic detection of ischemia in ECG using ANN. It allows the user to set various parameter settings UNS and display ECG waveforms.
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Support of the patients indicated for coronary artery bypass graft surgery
KALVASOVÁ, Eliška
The bachelor thesis deals with the support of patients indicated for coronary artery bypass graft (CABG) surgery and their satisfaction with it. Psychological support of patients played an important role in preventing complications and therefore it was important to focus on the patient as a holistic human being. The objective of this bachelor thesis was to find out the method of patient education; to map the knowledge of healthy lifestyle, non-adherence to which led to indication of coronary artery bypass graft surgery; and to find out the level of mental support of patients indicated for coronary artery bypass graft surgery. To achieve these objectives, a qualitative investigation method was used, where data was further collected through semi-structured interviews with patients after coronary artery bypass graft surgery. A total of 10 patients were interviewed just after this procedure. The result of the research investigation which indicated that patients had not enough information regarding a healthy lifestyle, non-adherence to which led to the indication of coronary artery bypass graft surgery. Another shortcoming resulting from our research was the fact that patients had not have enough psychological support before the procedure, despite the fact that it was so important for physical health. However, the patient education by medical staff was satisfactory in our research. The research showed that the staff provided sufficient and good quality education in verbal as well as demonstrative form. The information booklet for patients undergoing cardiac surgery, which they all received before the procedure, was very positively evaluated by the patients as part of the education. According to the results, it was recommended that it would be appropriate to appeal to the necessity and need to offer psychological support to patients during their hospitalization as part of staff training.
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Kinesiophobia, her predictors and consequences in selected chronic diseases - theoretical review
Schwarzová, Kristýna ; Mahrová, Andrea (advisor) ; Plevková, Lucia (referee)
Title: Kinesiophobia, her predictors and consequences in selected chronic diseases - theoretical review Objectives: To review the issue of the occurrence of kinesophobia in various chronic diseases and to identify its predictors. Methods: The diploma thesis was prepared in the form of a literature search using electronic resources of the National Medical Library, the Central Physical Education Library and professional databases Pubmed, EBSCO, SCORPUS, Medline, Web of Science. The first half of the work summarized all the theoretical background and knowledge of kinesophobia and selected chronic diseases. The second half was focused on the processing of the issue of kinesophobia in selected chronic diseases and on the mapping of their predictors. Results: Based on the processing of available resources dealing with the issue of kinesophobia in selected chronic diseases, a comprehensive overview was created. In patients with chronic low back pain, high levels of kinesophobia were most often associated with chronic pain, functional impairment associated with the disease, obesity, low levels of education, and emotional states (anxiety, depression). In coronary heart disease, high levels of kinesophobia were associated with a lack of understanding of the need for physical activity, social support,...
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Lipidomic analysis of adipose tissue in patients with ischemic heart disease
Tomášová, Petra ; Vecka, Marek (advisor) ; Poledne, Rudolf (referee) ; Neckář, Jan (referee)
The ever-increasing incidence of coronary artery disease (CAD) in Czech Republic and worldwide is one of the most important health problem today. Obesity and type 2 diabetes mellitus (DM2T) are risk factors for the development of CAD. Lipid metabolism is greatly affected by these diseases and adipose tissue, previously considered a mere energy store, also plays an important role in these changes. Today adipose tissue is discussed also as an endocrine organ, which effect whole body metabolism significantly. Lipidomic analysis is an effective tool for monitoring lipid metabolism. Lipidomics combines the advantages of determining a large number of analytes and a small amount of sample and its rapid preparation. In the first part of study, I optimized the HPLC-MS method of untargeted lipidomic analysis in adipose tissue. Then, this method was used to compare subcutaneous and epicardial adipose tissue. Finally, I evaluated the effect of CAD and DM2T on the lipid profiles of subcutaneous and epicardial adipose tissues. Optimization of the pre-analytical phase enabled the analysis of 206 lipid molecules (in total) in both types of adipose tissue. Compared to subcutaneous adipose tissue, epicardial adipose tissue contained a higher proportion of phosphatidylcholines (e.g. PC(32:0), PC(32:1), PC(36:4)) and...
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Kinesiophobia, her predictors and consequences in selected chronic diseases - theoretical review
Schwarzová, Kristýna ; Mahrová, Andrea (advisor) ; Plevková, Lucia (referee)
Title: Kinesiophobia, her predictors and consequences in selected chronic diseases - theoretical review Objectives: To review the issue of the occurrence of kinesophobia in various chronic diseases and to identify its predictors. Methods: The diploma thesis was prepared in the form of a literature search using electronic resources of the National Medical Library, the Central Physical Education Library and professional databases Pubmed, EBSCO, SCORPUS, Medline, Web of Science. The first half of the work summarized all the theoretical background and knowledge of kinesophobia and selected chronic diseases. The second half was focused on the processing of the issue of kinesophobia in selected chronic diseases and on the mapping of their predictors. Results: Based on the processing of available resources dealing with the issue of kinesophobia in selected chronic diseases, a comprehensive overview was created. In patients with chronic low back pain, high levels of kinesophobia were most often associated with chronic pain, functional impairment associated with the disease, obesity, low levels of education, and emotional states (anxiety, depression). In coronary heart disease, high levels of kinesophobia were associated with a lack of understanding of the need for physical activity, social support,...
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