Abstract Machine learning leverages statistical and computer science principles to develop
algorithms capable of improving performance through interpretation of data rather than …

The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of
epilepsy. In particular, Interictal Epileptiform Discharges (IEDs) reflect an increased …

Electroencephalography (EEG) is one of the main pillars used for the diagnosis and study of
epilepsy, readily employed after a possible first seizure has occurred. The most established …

The sensitivity of routine EEG recordings for interictal epileptiform discharges in epilepsy is
limited. In some patients, inpatient video-EEG may be performed to increase the likelihood of …

To evaluate the impact of epileptiform discharges (ED s) that do not occur within seizure
patterns–such as spikes, sharp waves or spike waves–on cognitive function and to discuss …

Continuous spikes and waves during sleep (CSWS) is an epileptic encephalopathy
characterized in most patients by (1) difficult to control seizures,(2) interictal epileptiform …

Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the
localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG …

Epilepsy is a neurological disorder distinguished by sudden and unexpected seizures. To
diagnose epilepsy, clinicians register the signals of brain electric activity …

Background and purpose Some epilepsy syndromes (sleep‐related epilepsies, SREs) have
a strong link with sleep. Comorbid sleep disorders are common in patients with SRE and …

Background Finding interictal epileptiform discharges (IEDs) in the EEG is a part of
diagnosing epilepsy. Automated software for annotating EEGs of patients with suspected …