An interictal epileptiform discharge activity detection apparatus and method for an epileptic patient. The detection device comprises: an electroencephalogram signal sensor, configured to acquire electroencephalogram signals of a patient; an electroencephalogram signal preprocessing unit, configured to filter and normalize the electroencephalogram signals; an electroencephalogram signal segmentation unit, configured to segment the preprocessed electroencephalogram signals to generate m w*256 input sample matrixes S(m); and an end-to-end epileptiform discharge activity signal and background signal binary classification unit, configured to output an epileptiform discharge activity detection result according to the input m w*256 input sample matrixes S(m). By recognizing epileptiform discharge activity-related features using a first association of an epileptiform discharge activity in various sensor spaces at a same moment, and the accidental occurrence and a second association, different from the first association, of artifacts in various sensor spaces at a same moment, the method can filter artifacts that cannot be filtered by a filtering means, thus completing automatic detection without manual design of an artifact filtering unit and feature engineering.
INTERICTAL EPILEPTIFORM DISCHARGE ACTIVITY DETECTION APPARATUS AND METHOD FOR EPILEPTIC PATIENT