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Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation

Vimal Raj, A. Renjini, M. S. Swapna, S. Sreejyothi, S. Sankararaman

2020Chaos Solitons & Fractals50 citationsDOIOpen Access PDF

Topics & Concepts

Hurst exponentAuscultationPrincipal component analysisSample entropyLyapunov exponentSpectral densityWaveletContext (archaeology)Time seriesApproximate entropyNonlinear systemFractal dimensionMathematicsPhase portraitComputer scienceChaoticFractalPattern recognition (psychology)Speech recognitionArtificial intelligenceStatisticsMathematical analysisPhysicsMedicineQuantum mechanicsBifurcationBiologyPaleontologyRadiologyPhonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI
Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation | Litcius