@inproceedings{1703f262ba75417f881c9150af7f5eaf,
title = "A Comparative Investigation of Mode Mixing in EEG Decomposition Using EMD, EEMD and M-EMD",
abstract = "This paper presents and discusses the empirical mode decomposition method (EMD), its mode mixing problem and the primary causes of it. The ensemble EMD (EEMD) and masking EMD (M-EMD) methods are discussed as solutions for the mode mixing problem. Both improved methods were applied to process an EEG signal and the results were compared. The M-EMD provided the best result making good separation of the EEG signal into delta, theta, alpha, and beta band signals.",
keywords = "EEG, EEMD, EMD, M-EMD, empirical mode decomposition, masking signal, mode mixing",
author = "Raymond Ho and Kevin Hung",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020 ; Conference date: 18-04-2020 Through 19-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISCAIE47305.2020.9108817",
language = "English",
series = "ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics",
pages = "203--210",
booktitle = "ISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics",
}