Vision-based monitoring for assisted living is gaining increasing attention, especially in multi-
modal monitoring systems owing to the several advantages of vision-based sensors. In this …

Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …

Epilepsy being one of the most prevalent neurological disorders, affecting approximately 50
million people worldwide, and with almost 30–40% of patients experiencing partial epilepsy …

Semiology observation and characterization play a major role in the presurgical evaluation
of epilepsy. However, the interpretation of patient movements has subjective and intrinsic …

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 …

Nowadays, digitization has opened up various possibilities in the healthcare sector. Smart
healthcare is becoming a field of remarkable transformations and growth in the new era of …

Epileptic seizure detection classification distinguishes between epileptic and non-epileptic
signals and is an important step that can aid doctors in diagnosing and treating epileptic …

In this study, we investigated three measures capable of detecting absence seizures with
increased sensitivity based on different underlying assumptions. Namely, an information …

Seizure detection is vital for managing epilepsy as seizures can lead to injury and even
death, in addition to impacting quality of life. Prompt detection of seizures and intervention …

Epilepsy monitoring involves the study of videos to assess clinical signs (semiology) to
assist with the diagnosis of seizures. Recent advances in the application of vision-based …