Feature extraction of electrocardiogram signal using machine learning classification

Sumanta Kuila (Haldia Institute of Technology)
Namrata Dhanda (Amity University)
Subhankar Joardar (Haldia Institute of Technology)

International Journal of Electrical and Computer Engineering
Vol 10, No 6: December 2020

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).