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What is Hilbert-Huang Transform for EEG Analysis about?

This conference paper discusses the application of the Hilbert-Huang Transform (HHT) for analyzing EEG signals, emphasizing its ability to provide insights into the time-frequency structure of these signals. The authors highlight the challenges of EEG signal interpretation and the advantages of HHT over traditional linear methods, particularly for nonlinear and non-stationary data. The paper presents technical details of the HHT methodology and its potential for enhancing understanding of brainwave activity

Author

benoranjana

Language

EN