Deep Learning Approaches for Seizure Video Analysis: A Review

arXiv:2312.10930v2 Announce Type: replace
Abstract: Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable features such as altered facial expressions. The analysis of these clinical signs, referred to as semiology, is subject to observer variations when specialists evaluate video-recorded events in the clinical setting. To enhance the accuracy and consistency of evaluations, computer-aided video analysis of seizures has emerged as a natural avenue. …

abstract analysis arxiv clinical control cs.cv deep learning disruptions events features manifest movements observable review type video video analysis