Computer assisted interpretation of the human EEG: improving diagnostic efficiency and consistency in clinical reviews

Algorithms were developed to automatically characterize five common EEG background properties: the posterior dominant peak frequency; reactivity; anterior-posterior gradients; symmetry; and the presence or absence of diffuse slow-wave activity and an intuitive and efficient technique was also developed for the automated detection of inter-ictal epileptiform discharges.