A Comparative Study between De-noising Algorithms for Non-Invasive Brain Computer Interface Applications
Journal: International Research Journal of Advanced Engineering and Science (Vol.4, No. 4)Publication Date: 2020-08-15
Authors : Sabbir Ahmed Sibli; Nuray Jannat; Rumman Rafi; Ahmed Shafkat; Salehin Ferdous Kader;
Page : 326-329
Keywords : Brain Computer Interface (BCI); Empirical Mode Decomposition (EMD); Discrete Wavelet Transform (DWT); Electroencephalogram (EEG); Electrooculography (EoG);
Abstract
Brain Computer Interface provides a communication pathway between the machine and the human. Electroencephalogram (EEG) is a non-invasive technique for acquiring human brain signals. But these non-invasive signals are highly contaminated with several artefacts like Electrooculography (EOG), Electrocardiogram (ECG) etc. Generally EOG artefacts overlap the frequency of EEG signals very firmly. So the de-noising of these signals is a huge challenge to develop Brain Computer Interface based applications. This research shows a comparative study between two major timefrequency domain de-noising methods, Discrete Wavelet Transform (DWT) and Empirical Mode Decomposition (EMD)
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Last modified: 2020-06-16 16:36:19