Method for detecting abnormal discharge in epilepsy electroencephalogram signals

The invention relates to the technical field of epilepsy electroencephalogram signal detection, in particular to a method for detecting abnormal discharge in epilepsy electroencephalogram signals. The acutance ratio algorithm comprises the following steps: firstly, performing 0.1-75Hz filtering and 50Hz wave trapping on an original electroencephalogram signal, and removing a direct current component, high-frequency noise and power frequency noise; counting all extreme points (peak) in the filtered signal, screening all found extreme points, if the amplitude change degree between two continuous extreme points is greater than a certain threshold, considering that the extreme points are extreme points (peak q) conforming to conditions, and for each extreme point (peak q), determining that the extreme points are extreme points (peak q) conforming to conditions; the method comprises the following steps of: calculating the amplitude of each peak q, subtracting the amplitude of a point before 4ms and the amplitude o