| Autor: |
Turnip, Arjon, Redhyka, Grace Gita, Alam, Hilman S., Setiawan, Iwan R. |
| Zdroj: |
Applied Mechanics and Materials; July 2015, Vol. 780 Issue: 1 p87-96, 10p |
| Abstrakt: |
In this paper, an experiment of spike detection based mental task with ayes movement stimuli is reported. The approximation of ICA algorithm is required to eliminate artifacts and detect a pike of brain activity according to the given stimuli which are normal, closed, and blinking ayes. A comparison of ICA algorithms based Extended Fourth Order Blind Identification and Algorithm for Multiple Unknown Signal Extraction is tested. The quality of the extracted signals is measured through the value of the signal to interference ratio and signal to distortion ratio. The extracted results indicate that the best spike detection is achieved using AMUSE algorithm.Keywords : EEG , s pike , Independent Component Analysis (ICA). |
| Databáze: |
Supplemental Index |
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