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Feature extraction of electrocardiogram signal using machine learning classification

Sumanta Kuila, Namrata Dhanda, Subhankar Joardar

2020International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering23 citationsDOIOpen Access PDF

Abstract

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).

Topics & Concepts

Computer scienceRotation (mathematics)Orientation (vector space)Artificial intelligenceFeature extractionFeature (linguistics)Position (finance)Pattern recognition (psychology)SIGNAL (programming language)Data miningMachine learningComputer visionMathematicsFinancePhilosophyGeometryLinguisticsProgramming languageEconomicsECG Monitoring and AnalysisNon-Invasive Vital Sign MonitoringEEG and Brain-Computer Interfaces
Feature extraction of electrocardiogram signal using machine learning classification | Litcius