This master’s thesis deals with methods for detection of myocardial ischemia in the ECG signal. There is explained the principle of spreading of electrical activity through the heart muscle and its manifestations on the ECG. There are also mentioned the causes of myocardial ischemia and various methods of its detection in the ECG signal. In great detail there is explained the process of implementation of the two selected detection methods of myocardial ischemia in MATLAB. These methods are tested on the data from The PTB Diagnostic ECG Database. Finally, there is the presentation of detection results on used data and overall assessment of created algorithms
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coron...
Electrocardiogram is commonly used as a diagnostic tool for the monitoring of cardiac health and the...
International audienceA new method for myocardial ischemia detection is proposed in this communicati...
This master’s thesis deals with the automatic detection of myocardial infarction in ECG. Semester wo...
This thesis attempts with methods for detection of pathologies in ECG signals. The first part is foc...
This thesis is focused on the analysis of experimental ECG records drawn up in isolated rabbit heart...
This work aims to create a system of medical diagnosis of the Electrocardiogram (ECG). The events of...
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the int...
A new noninvasive method for early detection of ischemic heart disease based on singular value decom...
Heart Defects are immensely threatful to human beings and can cause death. Improvements in diagnosis...
International audienceA new method for myocardial ischemia detection is proposed in this communicati...
Background: Electrocardiographic methods still provide the bulk of cardiovascular diagnostics. Cardi...
This thesis deals with methods for detection of QRS complex in ECG signal. There is described electr...
A novel electrophysiological cardiac model is introduced in this dissertation. The cardiac model con...
This thesis focuses on the issue of atrial fibrillation and the success of their detection in the EC...
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coron...
Electrocardiogram is commonly used as a diagnostic tool for the monitoring of cardiac health and the...
International audienceA new method for myocardial ischemia detection is proposed in this communicati...
This master’s thesis deals with the automatic detection of myocardial infarction in ECG. Semester wo...
This thesis attempts with methods for detection of pathologies in ECG signals. The first part is foc...
This thesis is focused on the analysis of experimental ECG records drawn up in isolated rabbit heart...
This work aims to create a system of medical diagnosis of the Electrocardiogram (ECG). The events of...
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the int...
A new noninvasive method for early detection of ischemic heart disease based on singular value decom...
Heart Defects are immensely threatful to human beings and can cause death. Improvements in diagnosis...
International audienceA new method for myocardial ischemia detection is proposed in this communicati...
Background: Electrocardiographic methods still provide the bulk of cardiovascular diagnostics. Cardi...
This thesis deals with methods for detection of QRS complex in ECG signal. There is described electr...
A novel electrophysiological cardiac model is introduced in this dissertation. The cardiac model con...
This thesis focuses on the issue of atrial fibrillation and the success of their detection in the EC...
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coron...
Electrocardiogram is commonly used as a diagnostic tool for the monitoring of cardiac health and the...
International audienceA new method for myocardial ischemia detection is proposed in this communicati...