Epilepsi Nöetlerinin Tespiti için Bayesçi Degişim Noktasi Modeli
| Autor: | Canan Aykut-Bingol, Haluk O. Bingol, Gulcin Irim-Celik, Cagatay Yildiz, Berrin Aktekin |
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| Přispěvatelé: | Yildiz, C., Bingol, H.O., Irim-Celik, G., Aktekin, B., Aykut-Bingol, C., Yeditepe Üniversitesi, Yildiz, C, Bingol, HO, Irim-Celik, G, Aktekin, B, Aykut-Bingol, C |
| Jazyk: | turečtina |
| Rok vydání: | 2017 |
| Předmět: |
Epilepsy
medicine.diagnostic_test business.industry 0206 medical engineering Bayesian probability 020206 networking & telecommunications 02 engineering and technology Neurological disorder Electroencephalography medicine.disease Bayesian Change Point Model 020601 biomedical engineering 0202 electrical engineering electronic engineering information engineering medicine Premovement neuronal activity Epilepsy surgery Epileptic seizure medicine.symptom business Electrocardiography Neuroscience |
| Zdroj: | SIU |
| Popis: | Epilepsy is a chronic neurological disorder in which the normal pattern of neuronal activity in the brain becomes disturbed. Identification of the brain region that is abnormally active during an epileptic seizure is vital for epilepsy surgery. One way of achieving so is to collect electroencephalography ( EEG) signals from epileptic people and then to identify the active region as a seizure occurs. In this work, we present a Bayesian change point model that detects when seizures occur. We applied our method to a data set that contains 48 EEG and electrocardiography (EKG) record pairs collected from epileptic people and observed that the model is able to detect all seizures. Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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