Independent component analysis, the validation on volume conductor platform and the application in automatic artifacts removal and source locating of egg signals

Abstract

Independent Component Analysis (ICA) is a new and powerful blind signal separation algorithm.In this research, ICA was verified by experiments on a novel volume conductor platform which has similar electrical characteristic and multi-layer structure to the human brain. The result shows that ICA can decompose signals mixed on the human brain with good accuracy. ICA was used to automatically remove ECG and EOG artifacts online in this research. An ICA based Low Resolution Electromagnetic Tomography method (LORETA) was also developed in this research for locating the event stimulated brain activities and spontaneous brain activities from single-trial EEG.