LEADER 03333nam 2200433 450 001 9910477129703321 005 20230326083602.0 035 $a(CKB)5470000000568645 035 $a(NjHacI)995470000000568645 035 $a(EXLCZ)995470000000568645 100 $a20230326h20102011 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEpileptic Seizures and the EEG $eMeasurement, models, detection and prediction /$fAndrea Varsavsky, Iven Mareels and Mark Cook 210 1$aBoca Raton, Florida :$cTaylor & Francis,$d2010. 210 4$dİ2011 215 $a1 online resource (xxi, 337) $cillustrations 327 $aEEG generation and measurement -- Signal processing in EEG analysis -- Classifying the EEG -- Seizure detection -- Modeling for epilepsy -- On the predictability of seizures. 330 $aAnalysis of medical data using engineering tools is a rapidly growing area, both in research and in industry, yet few texts exist that address the problem from an interdisciplinary perspective. Epileptic Seizures and the EEG: Measurement, Models, Detection and Prediction brings together biology and engineering practices and identifies the aspects of the field that are most important to the analysis of epilepsy. Analysis of EEG records The book begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG as a measured signal and explains its use in the study of epilepsy. Next, it provides an explanation of the type of brain activity likely to register in EEG measurements, offering quantitative analysis of the populations of neurons that contribute to both scalp and cortical EEG and discussing the limitations and effects that choices made in the recording process have on the data. The book provides an overview of how these EEG records are and have been analyzed in the past, concentrating on the mathematics relevant to the problem of classification of EEG. The authors use these extracted features to differentiate between or classify inter-seizure, pre-seizure and seizure EEG. The challenge of seizure prediction The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, the book addresses the fundamental question: can seizures be predicted? Through analysis of epileptic activity spanning from 3 hours to 25 years, it is proposed that seizures may be predictable, but the amount of data required is greater than previously thought. Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction. 517 $aEpileptic Seizures and the EEG 606 $aEpilepsy$xDiagnosis 606 $aBiomedical engineering 606 $aElectroencephalography 615 0$aEpilepsy$xDiagnosis. 615 0$aBiomedical engineering. 615 0$aElectroencephalography. 676 $a616.853075 700 $aVarsavsky$b Andrea$01347834 702 $aCook$b Mark 702 $aMareels$b Iven 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910477129703321 996 $aEpileptic Seizures and the EEG$93084627 997 $aUNINA