Epilepsy is a very common disease affecting at least 1% of the population, comprising a
number of over 50 million people. As many patients suffer from the drug-resistant version …

High frequency oscillations (HFOs) are a promising biomarker of epileptic tissue, but
detection of these electrographic events remains a challenge. Automatic detectors show …

In this paper, a spike detection method is introduced. Traditional morphological filter is
improved for extracting spikes from epileptic EEG signals and two key problems are …

Ripple oscillations (80–250 Hz) are a promising biomarker of epileptic activity, but are also
involved in memory consolidation, which impairs their value as a diagnostic tool …

We evaluated whether spike ripples, the combination of epileptiform spikes and ripples,
provide a reliable and improved biomarker for the epileptogenic zone (EZ) compared to …

OBJECTIVE: We propose a new method for automatic detection of fast ripples (FRs) which
have been identified as a potential biomarker of epileptogenic processes. METHODS: This …

The diagnosis of epilepsy heavily depends on the detection of epileptiform discharges in
interictal EEG, the EEG in between two seizures. By visual analysis a physician wants to …

In this paper we show a proof of concept for novel automatic seizure onset zone detector.
The proposed approach utilizes the Austrian Institute of Technology (AIT) seizure detection …

Objective Surface EEG can show epileptiform ripples in people with focal epilepsy, but
identification is impeded by the low signal-to-noise ratio of the electrode recordings. We …

Epilepsy is a major neurological disorder characterized by recurrent, spontaneous seizures.
For patients with drug-resistant epilepsy, treatments include neurostimulation or surgical …