Kumar, Sunil (2016) Ocular Artifacts Removal from Electroencephalographic (EEG) Signals. MTech thesis.
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The brain data signals or Electroencephalographic (EEG) signals are essential signals from the brain information point of view. These brain data signals have the different regions in their frequency zone. These frequency regions are known as Brain waves which are responsible for the condition of the mind. Every brain wave or frequency region of EEG signal have some work or specialization of their area associated with the particular frequency region.
These EEG signals gets affected and contaminated by various factors Which effects on selected frequency zone and modify the data coming from the mind. In this case, we can not study the brain information precisely but get some corrupt information instead of accurate information. These contaminated acquired EEG brain signal causes wrong results in diagnosing the disease. So to diagnose brain illness and to get appropriate and precise information coming from we need to get the cleaned and disturbance free brain signals. That a process of to make them clean is done here by some of the ways as:
• Empirical Mode Decomposition (EMD) Method
• Wavelet Decomposition Threshold (WT) Method
• Stockwell (S)-Transform Method
By the help of these techniques we cleaned the brain signals affected by the disturbance known as Ocular or EOG artifacts.
|EEG; EOG; EMD; WT; ST
|Engineering and Technology > Electronics and Communication Engineering > Signal Processing
Engineering and Technology > Electronics and Communication Engineering > Image Processing
|Engineering and Technology > Department of Electronics and Communication Engineering
|Mr. Sanat Kumar Behera
|30 Apr 2018 17:55
|30 Apr 2018 17:55
|Sahoo, Ajit Kumar
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