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Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …

Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but
require special expertise unavailable in many regions of the world. Artificial intelligence (AI) …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

Patients with absence epilepsy fail to report almost 90% of their seizures. The clinical gold
standard to assess absence seizures is video-electroencephalography (vEEG) recorded in …

Background Early detection and alert notification of an impending seizure for people with
epilepsy have the potential to reduce Sudden Unexpected Death in Epilepsy (SUDEP) …

Abstract Objective Home monitoring of 3‐Hz spike–wave discharges (SWDs) in patients with
refractory absence epilepsy could improve clinical care by replacing the inaccurate seizure …

Background: Wearable multi-modal time-series classification applications outperform their
best uni-modal counterparts and hold great promise. A modality that directly measures …

Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

Introduction and purpose The continuously expanding research and development of
wearable devices for automated seizure detection in epilepsy uses mostly non-invasive …