2026-06-21T17:49:41Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/85672024-02-03T01:05:44Zcom_10259_7328com_10259_3989com_10259.4_106com_10259_2604col_10259_7329

00925njm 22002777a 4500 dc Moncada, Fernando author Martín, Sofía author González, Víctor M. author Álvarez, Víctor M. author García López, Beatriz author Gómez Menéndez, Ana Isabel author Villar, José R. author 2022 Photosensitivity, in relation to epilepsy, is a genetically determined condition in which patients have epileptic seizures of different severity provoked by visual stimuli. It can be diagnosed by detecting epileptiform discharges in their electroencephalogram (EEG), known as photoparoxysmal responses (PPR). The most accepted PPR detection method—a manual method—considered as the standard one, consists in submitting the subject to intermittent photic stimulation (IPS), i.e. a flashing light stimulation at increasing and decreasing flickering frequencies in a hospital room under controlled ambient conditions, while at the same time recording her/his brain response by means of EEG signals. This research focuses on introducing virtual reality (VR) in this context, adding, to the conventional infrastructure a more flexible one that can be programmed and that will allow developing a much wider and richer set of experiments in order to detect neurological illnesses, and to study subjects’ behaviours automatically. The loop includes the subject, the VR device, the EEG infrastructure and a computer to analyse and monitor the EEG signal and, in some cases, provide feedback to the VR. As will be shown, AI modelling will be needed in the automatic detection of PPR, but it would also be used in extending the functionality of this system with more advanced features. This system is currently in study with subjects at Burgos University Hospital, Spain. 0941-0643 http://hdl.handle.net/10259/8567 10.1007/S00521-022-06940-Z 1433-3058 Electroencefalogram Virtual reality Photoparoxysmal response Machine learning Virtual reality and machine learning in the automatic photoparoxysmal response detection