Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
In order to characterize abnormal behaviours related to epileptic seizures and other neurological disorders, in this paper it is described a methodology and fundaments to find an optimum tolerance criterion r to estimate the entropy of abnormal transients with a duration of two seconds from electroencephalograms (EEG) recordings of patients diagnosed with partial epilepsy, attention deficit/hyperactivity disorder (ADHD), and conduct disorder (CD). The considered EEG signals come from patients with different ages diagnosed with these cerebral disorders in order to investigate the possibility of identifying each of them using approximate entropy (ApEn) and sampling entropy (SampEn) of the transients, which lead to the determination of an appropriate value for the parameter r. With the present approach it is possible to obtain an accurate identification of abnormal transients in EEG signals of short duration and reliable estimations of their entropies.
