Improved patient specific seizure detection during pre-surgical evaluation.
AffiliationComplex and Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland. email@example.com
Data Interpretation, Statistical
False Positive Reactions
Reproducibility of Results
MetadataShow full item record
CitationImproved patient specific seizure detection during pre-surgical evaluation. 2011, 122 (4):672-9 Clin Neurophysiol
JournalClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
AbstractThere is considerable interest in improved off-line automated seizure detection methods that will decrease the workload of EEG monitoring units. Subject-specific approaches have been demonstrated to perform better than subject-independent ones. However, for pre-surgical diagnostics, the traditional method of obtaining a priori data to train subject-specific classifiers is not practical. We present an alternative method that works by adapting the threshold of a subject-independent to a specific subject based on feedback from the user.