Time-frequency matching of warped depth-EEG seizure observations

A methodology of comparing depth-EEG seizure recordings is presented. The approach is based on an extension of Wagner and Fischer's algorithm to N x 2-dimensional sets, allowing a confrontation of nonequal duration observations characterized by their time-frequency distributions. It proceeds by time and frequency warping on the first observation to match the second, under cost constraints. Preliminary results show that relevant signatures can be extracted from recordings.