Patent ID: 8364255
Filing Date: 2013-01-29
Classification: A61B

Abstract:
1. A method for automatically editing brain electrical activity data, comprising: positioning at least two frontal EEG electrodes on a patient, wherein the at least two electrodes are positioned at any two of FP obtaining a signal representing brain electrical activity in each of the electrodes; and using an analysis unit: analyzing the signal to determine if temporal segments of the signal include artifacts due to at least one of eye movements, cable or electrode movements, impulse artifacts, and muscle activity, and if at least one segment does include artifacts identifying the segment as including artifacts; and editing the signal to remove segments that include artifacts; wherein determining if temporal segments of this signal include artifacts due to eye movements comprises filtering signals obtained from electrodes positioned at the FP wherein determining if temporal segments of the signal include impulse artifacts comprises high pass filtering a signal from at least one electrode to remove the alpha component of the signal and determining if successive 100ms segments include signal variations greater than a predetermined threshold, and if successive 100ms segments include signal variations of greater than the threshold, identifying the segments as containing impulse artifacts; and wherein determining if temporal segments of the signal include muscle movement artifacts comprises band pass filtering a signal from at least one electrode in a range of an EEG β1 band to produce signal E