| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6008766 | Clinical Neurophysiology | 2012 | 11 Pages |
Abstract
⺠Automatic detection of HFOs is necessary to bring the analysis of HFOs into clinical practice in presurgical evaluation of epilepsy. ⺠An artificial neural network based detector of ripple HFOs is presented, which incorporates human expertise to separate ripple HFOs from background activity. ⺠The presented automatic detector allows the delineation of brain areas with high ripple HFO counts as an indicator of the seizure onset zone.
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Authors
Matthias Dümpelmann, Julia Jacobs, Karolin Kerber, Andreas Schulze-Bonhage,