scholarly journals A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI

NeuroImage ◽  
2007 ◽  
Vol 38 (1) ◽  
pp. 124-137 ◽  
Author(s):  
Frédéric Grouiller ◽  
Laurent Vercueil ◽  
Alexandre Krainik ◽  
Christoph Segebarth ◽  
Philippe Kahane ◽  
...  
Keyword(s):  
Comparative Study ◽  
Functional Mri ◽  
Eeg Signals ◽  
Artefact Removal

A Comparative Study of Drowsiness Detection From Eeg Signals Using Pretrained CNN Models

2021 ◽  
Author(s):  
Budhi Veera Bharath Chandra ◽  
Chigurupati Naveen ◽  
Mahapatra Medha Sampath Kumar ◽  
Madhavarapu Srinivasa Sai Bhargav ◽  
S S Poorna ◽  
...  
Keyword(s):  
Comparative Study ◽  
Eeg Signals ◽  
Drowsiness Detection

scholarly journals Localization of Active Brain Sources From EEG Signals Using Empirical Mode Decomposition: A Comparative Study

2018 ◽  
Vol 12 ◽  
Author(s):  
Pablo Andrés Muñoz-Gutiérrez ◽  
Eduardo Giraldo ◽  
Maximiliano Bueno-López ◽  
Marta Molinas
Keyword(s):  
Comparative Study ◽  
Empirical Mode Decomposition ◽  
Eeg Signals ◽  
Mode Decomposition

scholarly journals Artefact Removal from EEG Signals using Total Variation De-noising

2020 ◽  
Vol 9 (5) ◽  
pp. 2357-2361
Keyword(s):  
Root Mean Square Error ◽  
Total Variation ◽  
Signal To Noise Ratio ◽  
Mean Square ◽  
Health Issues ◽  
Eeg Signals ◽  
Signal To Noise ◽  
Medical Practitioners ◽  
Artefact Removal ◽  
Two Parameters

Artefacts removing (de-noising) from EEG signals has been an important aspect for medical practitioners for diagnosis of health issues related to brain. Several methods have been used in last few decades. Wavelet and total variation based de-noising have attracted the attention of engineers and scientists due to their de-noising efficiency. In this article, EEG signals have been de-noised using total variation based method and results obtained have been compared with the results obtained from the celebrated wavelet based methods . The performance of methods is measured using two parameters: signal-to-noise ratio and root mean square error. It has been observed that total variation based de-noising methods produce better results than the wavelet based methods.

Effect of Artefact Removal Techniques on EEG Signals for Video Category Classification

2018 ◽  
Author(s):  
Aunnoy K. Mutasim ◽  
M. Raihanul Bashar ◽  
Rayhan Sardar Tipu ◽  
Md. Kafiul Islam ◽  
M. Ashraful Amin
Keyword(s):  
Eeg Signals ◽  
Artefact Removal
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