The present invention relates to a computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephaiographic signal, the method comprising the steps of obtaining (A) an electroencephaiographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero- crossings of the electroencephaiographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephaiographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephaiographic signals; calculating (E) a matching score by comparing said zero-crossing representation of a segment of the electroencephaiographic signal with at least one reference function from the reference family of functions; and computing the matching score as a function of time by sliding the at least one reference function from the reference family of functions over the electroencephaiographic signal.
METHOD FOR IDENTIFICATION OF PATHOLOGICAL BRAIN ACTIVITY FROM SCALP ELECTROENCEPHALOGRAM