Work

Robustness of EFD in Noisy Conditions: A Comparative Study with EWT for EEG and Synthesized Signal

Year: 2025

Type: article

Abstract: Objective: This paper compares two empirical signal decomposition methods, the Empirical Wavelet Transform (EWT) and the Empirical Fourier Decomposition (EFD), focusing on their performance in decomposing synthetic signals and real EEG data, particularly in noisy environments.The used metrics are Signal-to-Noise Ratio (SNR), Percentage Root Mean Square Error (PRMSE), and Correlation (Corr).For the different scenarios, EFD-based approach shows competitive performance compared to EWT and other methods as well.

Source: Research in Medical & Engineering Sciences

DOI: 10.31031/rmes.2025.11.000772

Author: Sedigheh Ghofrani

Institutions: Islamic Azad University, Tehran, Islamic Azad University South Tehran Branch, Islamic Azad University, Science and Research Branch

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: diamond

OpenAlex ID: W4413475138

FWCI: 0.571

Cites:

Cited by: 1

Related to: 10