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Coronary heart disease (CHD) is the leading cause of death in the world. This disease can be asymptomatic for a long time and over time can progress and result in death. Today electrocardiogram (ECG) can be done at home with the help of special equipment from CardioQvark. In this paper the possibility of CHD detection based on such ECGs was explored. Different approaches to the classification of such electrocardiograms were surveyed. New algorithms and modifications to existing algorithms were proposed. A new method – the ensemble of different algorithms – has shown the best performance.

The ensemble of algorithms for coronary heart disease detection based on electrocardiogram