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Feature extraction of electrocardiogram signal using machine learning classification

Kuila, SumantaDhanda, NamrataJoardar, Subhankar
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Desember 2020
DOI10.11591/ijece.v10i6.pp6598-6605

Abstrak

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).

Kata Kunci

Computing and Informatics

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Feature extraction of electrocardiogram signal using machine learning classification | International Journal of Electrical and Computer Engineering (IJECE) | Publiora