Patent ID: 8391966
Filing Date: 2013-03-05
Classification: A61B,G06F,G16H

Abstract:
1. A method for sensory-evoked potential signal classification, comprising: generating a pattern of stimulus characterized by a frequency that updates randomly; determining in real-time the frequency of the pattern of stimulus, the determined frequency of the pattern of stimulus being the current frequency of the pattern of stimulus; receiving a plurality of electroencephalography signal samples from a current user evoked in response to the pattern of stimulus; synchronizing the plurality of electroencephalography signal samples in time domain without conversion to a frequency domain to the pattern of stimulus in time domain; generating a stimulus-locked electroencephalography signal sample using a processor; and performing a determination using a time domain classifier in real-time of whether the plurality of electroencephalography signal samples are evoked in response to the pattern of stimulus using the processor, wherein the determination of whether the plurality of electroencephalography signal samples are evoked in response to the pattern of stimulus being performed dynamically or adaptively in real-time in a manner such that the current user's electroencephalography pattern determined in real-time is used, the current user's electroencephalography response pattern determined before the current user's current electroencephalography response pattern is not used, the frequency of the pattern of stimulus determined in real-time is used, and a frequency of the pattern of stimulus determined before the current determined frequency of the pattern of stimulus is not used in the determination of whether the plurality of electroencephalography signal samples are evoked in response to the pattern of stimulus; and wherein the sensory-evoked potential signal classification is computed by calculating a mutual relationship between pairs of segments for the stimulus-locked electroencephalography signal sample, determining a statistical measure of the mutual relationship for each stimulus, and determining if a stimulus is being attended to by the current user according to the statistical measure of the mutual relationship for each stimulus user the time domain classifier.