apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals steps include acquiring the brain wave data from the subject digitizing the data separating artifact data from raw data and comparing trends in f data to alertness indicators providing notification of inadequate alertness application_number US 61903196 A description this invention has been developed as an adjunct to the development of methods and apparatus for detection and prediction of epileptic seizures by non linear methods in that work it was necessary to develop methods and apparatus for separating certain brain wave eeg or meg data from other data in order to detect and or predict seizures the data that was separated was primarily 34 artifact 34 data that is data resulting from eye blinks chewing and other movements not related to brain activity the separation of these types of data had to be done without disturbing phase relationships within the data in order for the seizure detection and prediction methods to be effective in the work described herein sixteen channels of eeg data were analyzed the data were retrieved in analog form from vhs tapes and convened to digital form with 12 bit precision giving an integer between 2048 and 2047 the digital sampling rate f s was 512 hz over a total sample time of 10 23 minutes corresponding.