Abstract / truncated to 115 words (read the full abstract)

Accurate detection of ischemic patterns in ECG is important for correct diagnosis of myocardial ischemia or infarct and further treatment of the patients. Therefore, this research area is highly topical for the past few decades. The thesis introduces the results of comprehensive study on rabbit isolated heart, where many various aspects of ECG acquisition, processing and analysis have been addressed. Particularly, effects of ischemia, increased left ventricular mass and voltage-sensitive dye di-4-ANEPPS on heart electrical activity were evaluated by analysis of various ECG and VCG parameters. The impact of the last two phenomena (frequent in animal studies) on electrocardiographic ischemia manifestations and detection was described quantitatively. Various approaches for ischemia detection via advanced supervised classification ... toggle 8 keywords

rabbit isolated heart electrogram vectorcardiogram global myocardial ischemia left ventricle size di-4-anepps feature selection automatic classification.


Ronzhina, Marina
Brno University of Technology
Publication Year
Upload Date
Sept. 8, 2017

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