An Approach to Quantifying the Multi-Channel EEG Spatial-Temporal Feature

DOI<link itemprop=identifier href="https://doi.org/10.1002/1521-4036(200011)42:7<901::AID-BIMJ901>3.0.CO;2-N" /><901::AID-BIMJ901>3.0.CO;2-N 10.1002/1521-4036(200011)42:7<901::AID-BIMJ901>3.0.CO;2-NzbMath0959.92009OpenAlexW1968121149MaRDI QIDQ4525992

Wenpo Chung, Pei-Chen Lo

Publication date: 26 April 2001

Full work available at URL: https://doi.org/10.1002/1521-4036(200011)42:7<901::aid-bimj901>3.0.co;2-n

zbMATH Keywords

intrinsic dimensionelectroencephalogramcomplexity indexglobal waveform complexitymulti-channel EEGspatial-temporal featurestate-space trajectory

Mathematics Subject Classification ID

Neural biology (92C20)

Cites Work

• Unnamed Item
• An Intrinsic Dimensionality Estimator from Near-Neighbor Information
• Classification Error for a Very Large Number of Classes
• An Algorithm for Finding Intrinsic Dimensionality of Data

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