Key result
ICEEMDAN minimizes mean square error for EEG signals compared to CEEMDAN, EEMD, and EMD.
Why the study?
Artifacts and noise in EEG recordings reduce the accuracy of brain activity analysis, necessitating improved denoising and time-frequency analysis methods.
Answers are grounded in this paper and cite their sources.
The combination of ICEEMDAN and Periodogram methods effectively denoises and analyzes EEG signals.
The electroencephalogram (EEG) is a test that determines brain activity. The existence of artifacts in EEG can naturally decrease the smoothness of the analysis of the biomedical signal. EEG disturbed by noises during encephalogram recordings is one of the problems that the experts have to investigate for finding solutions to remove these artifacts. To obtain an accurate EEG signal; the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is used and compared with and its old versions. The non-stationarity and non-linearity of the EEG signal cannot provide complete information when using the traditional method (Temporal and frequency domains). Among the objectives is the comparative analysis of time-frequency distributions applied on EEG signals. The denoising and time-frequency methods used in this study are tested on healthy and abnormal EEG signals which are disturbed by natural and artificial noises. The comparative study in this work shows the effectiveness of the combination of the ICEEMDAN and Periodogram methods that are suitable for denoising and analyzing the EEG signal.
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A 2021 study studied Electroencephalogram (EEG) signal artifacts. Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and Periodogram vs. CEEMDAN, EEMD, EMD, Choi-Williams, and Smoothed Pseudo Wigner-Ville methods was evaluated on Mean Square Error (MSE), Root MSE (RMSE), and Percent RMS Difference (PRD). The ICEEMDAN method provided the lowest Mean Square Error and Percent RMS Difference across all tested signal-to-noise ratios for EEG signals compared to CEEMDAN, EEMD, and EMD.
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