{"title":"An Analysis of Univariate and Multivariate Electrocardiography Signal Classification","authors":"Nelly Elsayed, A. Maida, M. Bayoumi","doi":"10.1109/ICMLA.2019.00074","DOIUrl":null,"url":null,"abstract":"Heart diseases are mainly diagnosed by the electrocardiogram (ECG) or (EKG). The correct classification of ECG signals helps in diagnosing heart diseases. In this paper, we study and analyze the univariate and multivariate ECG signal classification problems to find the optimal classifier for ECG signals from existing state-of-the-art time series classification models.","PeriodicalId":436714,"journal":{"name":"2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLA.2019.00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Heart diseases are mainly diagnosed by the electrocardiogram (ECG) or (EKG). The correct classification of ECG signals helps in diagnosing heart diseases. In this paper, we study and analyze the univariate and multivariate ECG signal classification problems to find the optimal classifier for ECG signals from existing state-of-the-art time series classification models.
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