2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.1624-1627
2011
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Details
- Autor(en) / Beteiligte
- Titel
- Seizure prediction in epilepsy: From circadian concepts via probabilistic forecasting to statistical evaluation
- Ist Teil von
- 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.1624-1627
- Ort / Verlag
- United States: IEEE
- Erscheinungsjahr
- 2011
- Quelle
- IEEE Electronic Library (IEL)
- Beschreibungen/Notizen
- Seizure prediction performance is hampered by high numbers of false predictions. Here we present an approach to reduce the number of false predictions based on circadian concepts. Based on eight representative patients we demonstrate that this approach increases the performance considerably. The fraction of patients for whom we found a significant seizure prediction performance was increased from 25% to 38% by accounting for circadian dependencies.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9781424441211, 1424441218ISSN: 1094-687X, 1557-170XeISSN: 1558-4615, 2694-0604DOI: 10.1109/IEMBS.2011.6090469Titel-ID: cdi_proquest_miscellaneous_916854272
- Format
- –
- Schlagworte
- Adult, Algorithms, Child, Circadian Rhythm, Data Interpretation, Statistical, Diagnosis, Computer-Assisted - methods, Electroencephalography, Electroencephalography - methods, Epilepsy, Female, Forecasting, Humans, Male, Middle Aged, Prediction algorithms, Prediction methods, Probabilistic logic, Reproducibility of Results, Seizures - diagnosis, Seizures - physiopathology, Sensitivity, Sensitivity and Specificity, Surgery