EMD-based analysis of complexity with dissociated EEG amplitude and frequency information: a data-driven robust tool -- for autism diagnosis -- compared to multi-scale entropy approach

DOI10.3934/mbe.2022235zbMath1501.92067OpenAlexW4224210826MaRDI QIDQ2086874

Yanyan Li

Publication date: 26 October 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022235

zbMATH Keywords

classificationcomplexityHilbert transformempirical mode decompositionmulti-scale entropydirect quadratureautism

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Unnamed Item
• Measuring time series regularity using nonlinear similarity-based sample entropy
• Hierarchical entropy analysis for biological signals
• Time series analysis using composite multiscale entropy
• Analysis of complex time series using refined composite multiscale entropy
• Efficient computation of multiscale entropy over short biomedical time series based on linear state-space models
• Sparse principal component analysis via fractional function regularity
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Entropy of Fourier coefficients of periodic musical objects