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 …

Seizure semiology is a well-established method to classify epileptic seizure types, but
requires a significant amount of resources as long-term Video-EEG monitoring needs to be …

Computer vision (CV) shows increasing promise as an efficient, low‐cost tool for video
seizure detection and classification. Here, we provide an overview of the fundamental …

Many clinical applications involve in-bed patient activity monitoring, from intensive care and
neuro-critical infirmary, to semiology-based epileptic seizure diagnosis support or sleep …

Epilepsy affects approximately 1% of the world's population. Semi-ology of epileptic seizures
contain major clinical signs to classify epilepsy syndromes currently evaluated by …

Detailed analysis of seizure semiology, the symptoms and signs which occur during a
seizure, is critical for management of epilepsy patients. Inter-rater reliability using qualitative …

Epilepsy is a major neurological disorder affecting approximately 1% of the world
population, where seizure semiology is an essential tool for clinical evaluation of seizures …

In this work, we propose a multi-stream approach with knowledge distillation to classify
epileptic seizures and psychogenic non-epileptic seizures. The proposed framework utilizes …

Disease diagnosis represents a critical and arduous endeavor within the medical field.
Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to …

Automated analysis of seizure behavior in video using intelligent video analytics technology
has significant applications in healthcare industry, since it can provide accurate and …