(*) Summary: We show that by using a modification of our previously developed probabilistic method to find the most unusual part of a 3D digital image, we can find the temporal intervals and areas of interest of the signals/video and mark the corresponding objects that behave in an unusual way.
Due to the different dynamics along the temporal and the spatial axes, namely the prevalence of the cylinder-like objects in the video and the pseudo-periodic slowly changing spectral characteristics of the bio-electrical signals, an additional step is needed to treat the temporal axis.
One of the possible practical applications of the method can be its implementation to the Intensive Care hospital Units (ICU), where EEG video recording is an usual practice and where the manifestation of the potentially mortal crisis can be detected only in some of the observed signals.
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(**) Biodata: Dr. Kostadin Korouthev graduated in Theoretical Physics by the University of Sofia with a distinguished degree. After graduating, he has worked as Research Associate at the Institute of Cybernetics and Robotics at the Bulgarian Academy of Sciences, at the Institute of Physiology, University of Wuerzburg, at the Instituto de Ingeneria del Conocimiento, Universidad Autonoma de Madrid.

Since 1999 he is Associate Professor at the Escuela Politecnica Superior of the Universidad Autonoma de Madrid, Madrid, Spain. His main interests are related to real time image and signal processing, neural networks, computational linguistics. He is the author of numerous publications in the specialized literature.