| abstract |
High frequency oscillations (HFOs) are automatically detected in electroencephalogram (EEG) signals and analyzed to assess whether they are predictive of the onset of a neurological dysfunction in a subject or an indication of nonneurological electrical activity or noise in the EEG signal. In some examples, HFOs, serving as a biomarker for epileptic seizures, are identified and used to identify seizure networks within a patient for clinician monitoring or for controlling automated treatment systems. The analysis may be used to create enhanced EEG displays, with HFOs identified on the EEG. |