Abstract
Seizure semiology has always been an important part of seizure classification. Value of the most common ictal signs for localization and lateralization of a seizure focus, as well as their sensitivity and specificity for certain focal epilepsies, is well known. All over it, there still remain many signs and poorly described patient behaviours during a seizure whose relation to a seizure focus have yet to be specified and confirmed. Some new signs have been introduced recently but all of them have been based on data provided from just a few dozens of patients. This is no surprise since checking for presence of a specific ictal sign in a patient requires lengthy manual review of video records documenting his/her seizures. We suggest a novel approach toward identification/verification of new ictal signs based on computer supported systematic review of unique extensive dataset of Na Homolce Hospital containing approximately 1.000 seizures (representing data of 400 patients with up to 5 seizures annotated). This requires transforming the original set of patient records into a database consisting of annotated ictal video-EEG recordings in a structured form suitable for statistical analysis as well as for analysis of sequence patterns. This contribution describes our SW tool ASTEP designed and developed for this purpose and demonstrates some properties of ASTEP database, namely advantages of the used seizure description as a sequence of considered ictal signs complemented by detailed information on timing, duration, repetition and mode of appearance of these signs. Finally, some preliminary results are reported.
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References
BERG, Anne T., et al. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia, 2010, 51.4: 676–685.
ENGEL, Jerome. Another good reason to consider surgical treatment for epilepsy more often and sooner. Archives of neurology, 2011, 68.6: 707–708.
FRANCA, Sara, et al. Side‐to‐side axial movements. Adding a new sign to the asymmetry of the clonic phase and asymmetric seizure termination in differentiating primary and secondarily generalised tonic-clonic seizures. Epileptic Disorders, 2014, 16.1: 1–4.
FISHER, R. S., et al. Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology. Epilepsia, 2017, 58: 522–530.
JIN B, et al. Analysing reliability of seizure diagnosis based on semiology. Epilepsy Behaviour, 2014 Dec; 41: 197–220.
LÜDERS, H., et al. Semiological Seizure Classification*. Epilepsia, 1998, 39.9: 1006–1013.
LÜDERS, Hans O., et al. The epileptogenic zone: general principles. Epileptic disorders, 2006, 8: S1.
MAILLARD, Louis, et al. Semiologic and electrophysiologic correlations in temporal lobe seizure subtypes. Epilepsia, 2004, 45.12: 1590–1599.
NOACHTAR, S.; ARNOLD, S. Simple motor seizures: localizing and lateralizing value. Textbook of epilepsy surgery. London/Boca Raton, FL: Informa Healthcare, Taylor & Francis distributor, 2008, 450–461.
OZKARA, C., et al. Ictal kissing and religious speech in a patient with right temporal lobe epilepsy. Epileptic disorders: international epilepsy journal with videotape, 2004, 6.4: 241–245.
ROSSETTI, Andrea O.; KAPLAN, Peter W. Seizure semiology: an overview of the ‘inverse problem’. European neurology, 2009, 63.1: 3–10.
SAHOO, Satya S., et al. Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. Journal of the American Medical Informatics Association, 2014, 21.1: 82–89.
TUFENKJIAN, Krikor; LÜDERS, Hans O. Seizure semiology: its value and limitations in localizing the epileptogenic zone. Journal of Clinical Neurology, 2012, 8.4: 243–250.
Acknowledgements
The research has been partially supported by the Internal Grant of the Nemocnice Na Homolce, Internal Grant of the Czech Institute of Informatics, Robotics, and Cybernetics, CTU in Prague and CTU grant SGS16/231/OHK3/3T/13.
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Nova, M., Vyslouzilova, L., Vojtech, Z., Stepankova, O. (2019). Towards Computer Supported Search for Semiological Features in Epilepsy Seizure Classification. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G.S. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/1. Springer, Singapore. https://doi.org/10.1007/978-981-10-9035-6_66
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DOI: https://doi.org/10.1007/978-981-10-9035-6_66
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