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ECG Wave Delineation
Trnová, Kateřina ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detailed measurement of one cycle of the ECG signal. data samples of the beginning and end of major sections of this cycle are obtained from the values referred to in the database TESTRO. There is found a representative cycle. The text describes basic types of measuremend intervals, principles of multiple methods of measurement and description of the implemented program. Algorithm for measurement of functional units of ECG cycle signal, which was designed, is based on the detection of trend growth, of the field of signal using the first difference. Functionality was tested on a standard CSE database.
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An Arrhytmia Classifiication Based on RR Interval
Novotný, Jiří ; Škutková, Helena (referee) ; Kozumplík, Jiří (advisor)
This bachelor’s thesis deals with automatic classification of cardiac rhytm based on the sequence of RR intervals. The theoretical part deals both with characteristics of arrhytmias, which have been classified and the principles of the detectors and classificators used in this thesis. In the practical part, the QRS detector based on the calculation of the envelope of the ECG signal was realized in Matlab. Furthermore, the algoritm classifying arrhytmias based on the analysis of RR intervals was created. The reliability of the detector and the efficiency of the classificator was tested on the standard database CSE. The sensitivity of the detector was 98,28% and its positive predictive value was 98,38%. The diagnoses of the implemented classificator concurred in 73,17% with the cardiologists‘ diagnoses.
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Delineation of experimental ECG data
Hejč, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This thesis deals with a proposition of an algorithm for QRS complex and typical ECG waves boundaries detection. It incorporates a literature research focused on heart electrophysiology and commonly used methods for ECG fiducial points detection and delineation. Out of the presented methods an algorithm based on a continuous wavelet transform is implemented. Detection and delineation algorithm is tested on CSE standard signal database towards references determined both manually and automatically. Obtained results are compared to other congenerous methods. The diploma thesis is further concerned with an algorithm modification for experimental electrocardiograms of isolated rabbit hearts. Recording specifics of these data are introduced. Additionally, based on time and frequency analysis, particular modifications of the algorithm are proposed and realized. Due to a large extent of records functionality is verified on randomly selected database samples. Efficiency of the modified algorithm is evaluated through manually annotated references.
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ECG Wave Delineation
Trnová, Kateřina ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detailed measurement one cycle of the ECG signal from the known beginning and end of each major wave of this cycle of the values listed in the database TESPRO. Another objective of this work is to find a representative cycle. The text describes the basic types of measurement intervals, principles of multiple methods of measurement and description of the program, which was implemented. Algorithm for Measurement of function-al units cycle of ECG signal, which was designed based on the detection of trend growth in the field of signal using first differences. Functionality was tested on a standard database CSE.
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ECG Wave Delineation
Trnová, Kateřina ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detailed measurement one cycle of the ECG signal from the known beginning and end of each major wave of this cycle of the values listed in the database TESPRO. Another objective of this work is to find a representative cycle. The text describes the basic types of measurement intervals, principles of multiple methods of measurement and description of the program, which was implemented. Algorithm for Measurement of function-al units cycle of ECG signal, which was designed based on the detection of trend growth in the field of signal using first differences. Functionality was tested on a standard database CSE.
|
|
|
ECG Wave Delineation
Trnová, Kateřina ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This thesis deals with the detailed measurement of one cycle of the ECG signal. data samples of the beginning and end of major sections of this cycle are obtained from the values referred to in the database TESTRO. There is found a representative cycle. The text describes basic types of measuremend intervals, principles of multiple methods of measurement and description of the implemented program. Algorithm for measurement of functional units of ECG cycle signal, which was designed, is based on the detection of trend growth, of the field of signal using the first difference. Functionality was tested on a standard CSE database.
|
|
|
An Arrhytmia Classifiication Based on RR Interval
Novotný, Jiří ; Škutková, Helena (referee) ; Kozumplík, Jiří (advisor)
This bachelor’s thesis deals with automatic classification of cardiac rhytm based on the sequence of RR intervals. The theoretical part deals both with characteristics of arrhytmias, which have been classified and the principles of the detectors and classificators used in this thesis. In the practical part, the QRS detector based on the calculation of the envelope of the ECG signal was realized in Matlab. Furthermore, the algoritm classifying arrhytmias based on the analysis of RR intervals was created. The reliability of the detector and the efficiency of the classificator was tested on the standard database CSE. The sensitivity of the detector was 98,28% and its positive predictive value was 98,38%. The diagnoses of the implemented classificator concurred in 73,17% with the cardiologists‘ diagnoses.
|
|
|
Delineation of experimental ECG data
Hejč, Jakub ; Janoušek, Oto (referee) ; Vítek, Martin (advisor)
This thesis deals with a proposition of an algorithm for QRS complex and typical ECG waves boundaries detection. It incorporates a literature research focused on heart electrophysiology and commonly used methods for ECG fiducial points detection and delineation. Out of the presented methods an algorithm based on a continuous wavelet transform is implemented. Detection and delineation algorithm is tested on CSE standard signal database towards references determined both manually and automatically. Obtained results are compared to other congenerous methods. The diploma thesis is further concerned with an algorithm modification for experimental electrocardiograms of isolated rabbit hearts. Recording specifics of these data are introduced. Additionally, based on time and frequency analysis, particular modifications of the algorithm are proposed and realized. Due to a large extent of records functionality is verified on randomly selected database samples. Efficiency of the modified algorithm is evaluated through manually annotated references.
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