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  • 标题:Feature extraction of electrocardiogram signal using machine learning classification
  • 本地全文:下载
  • 作者:Sumanta Kuila ; Namrata Dhanda ; Subhankar Joardar
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2020
  • 卷号:10
  • 期号:6
  • 页码:6598-6605
  • DOI:10.11591/ijece.v10i6.pp6598-6605
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:In this article, we'll introduce ways to build virtual worlds through different computer programs. We will show the method of rectangles for analyzing data obtained from the electroencephalogram. We will demonstrate basic mathematical models for movement prediction in a system of virtual reality. Using this data, the main transformations are possible-change of position and rotation (change of orientation).
  • 关键词:Electrocardiogram (ECG);Machine Learning;Pattern Recognition ;Time-Frequency approach ;PQRST fragments
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