Removal of Ocular Artifacts from EEG Signals Using Adaptive Threshold PCA and Wavelet Transforms

2011 ◽  
Author(s):  
P. Ashok Babu ◽  
K.V.S.V.R. Prasad
Keyword(s):  
Wavelet Transforms ◽  
Adaptive Threshold ◽  
Eeg Signals ◽  
Ocular Artifacts

scholarly journals Removal of ocular artifacts from EEG signals using adaptive threshold PCA and Wavelet transforms

2011 ◽  
pp. 42-46
Author(s):  
P. Ashok Babu ◽  
K. V.S.V.R. Prasad
Keyword(s):  
Principal Component Analysis ◽  
Wavelet Transforms ◽  
Principal Component ◽  
Adaptive Threshold ◽  
Eeg Signals ◽  
Threshold Method ◽  
Eye Blinks ◽  
Elapsed Time ◽  
Electroencephalogram Eeg ◽  
Ocular Artifacts

It becomes more difficult to identify and analyze the Electroencephalogram (EEG) signals when it is corrupted by eye movements and eye blinks. This paper gives the different methods how to remove the artifacts in EEG signals. In this paper we proposed wavelet based threshold method and Principal Component Analysis (PCA) based adaptive threshold method to remove the ocular artifacts. Compared to the wavelet threshold method PCA based adaptive threshold method will gives the better PSNR value and it will decreases the elapsed time.

Elimination of Ocular Artifacts From Single Channel EEG Signals Using FBSE-EWT Based Rhythms

2020 ◽  
Vol 20 (7) ◽  
pp. 3687-3696 ◽  
Author(s):  
Pranjali Gajbhiye ◽  
Rajesh Kumar Tripathy ◽  
Ram Bilas Pachori
Keyword(s):  
Single Channel ◽  
Eeg Signals ◽  
Ocular Artifacts
Sign in / Sign up

Export Citation Format

Share Document