Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies
Author:
- 1 July 1998
- journal article
- research article
- Published by Elsevier in Electroencephalography and Clinical Neurophysiology
- Vol. 107 (1) , 27-32
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Automated seizure detection using a self-organizing neural networkElectroencephalography and Clinical Neurophysiology, 1996
- Self-Organizing Maps1995
- Automated interictal EEG spike detection using artificial neural networksElectroencephalography and Clinical Neurophysiology, 1992
- State dependent spike detection: validationElectroencephalography and Clinical Neurophysiology, 1992
- Long-term EEG-video-audio monitoring: computer detection of focal EEG seizure patternsElectroencephalography and Clinical Neurophysiology, 1992
- Automatic seizure detection: improvements and evaluationElectroencephalography and Clinical Neurophysiology, 1990
- Self-Organization and Associative Memory1989
- Automatic recognition of epileptic seizures in the EEGElectroencephalography and Clinical Neurophysiology, 1982
- Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordingsElectroencephalography and Clinical Neurophysiology, 1979
- Automatic recognition and quantification of interictal epileptic activity in the human scalp EEGElectroencephalography and Clinical Neurophysiology, 1976