Отрывок: The first group of features includes various entropic features, which indicate a measure of unpredictability in the signal. The following types of entropies are used: approximate entropy, sample entropy, and Shannon entropy. The next group of features is based on a recurrence plot. This plot shows the frequency and duration of recurrences in the signal. Based on this plot, the following features are calculated: density of points on the plot, percentage of points t...
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dc.contributor.authorGuryanova, V.N.-
dc.date.accessioned2018-05-18 11:13:01-
dc.date.available2018-05-18 11:13:01-
dc.date.issued2018-
dc.identifierDspace\SGAU\20180517\69476ru
dc.identifier.citationGuryanova V.N. Ensemble of algorithms for coronary heart disease detection based on electrocardiogram // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С. 2865-2870ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Ensemble-of-algorithms-for-coronary-heart-disease-detection-based-on-electrocardiogram-69476-
dc.description.abstractCoronary 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 − ensemble of different algorithms – has shown the best quality.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.subjectECG Signal Processingru
dc.subjectEnsemble Learningru
dc.subjectAutomatic CAD Detectionru
dc.subjectECG classificationru
dc.titleEnsemble of algorithms for coronary heart disease detection based on electrocardiogramru
dc.typeArticleru
dc.textpartThe first group of features includes various entropic features, which indicate a measure of unpredictability in the signal. The following types of entropies are used: approximate entropy, sample entropy, and Shannon entropy. The next group of features is based on a recurrence plot. This plot shows the frequency and duration of recurrences in the signal. Based on this plot, the following features are calculated: density of points on the plot, percentage of points t...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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