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oapen-20.500.12657-416552020-09-22T00:42:22Z Epileptic Seizures and the EEG Varsavsky, Andrea Mareels, Iven Cook, Mark Neuroscience Biomedical Engineering NEUROSCIENCE BIOSCIENCE SCI-TECH BIOMEDICALSCIENCE STM action column conduction cortical epilepsies focal potential record scalp volume bic Book Industry Communication::M Medicine::MF Pre-clinical medicine: basic sciences bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences bic Book Industry Communication::M Medicine::MQ Nursing & ancillary services::MQW Biomedical engineering A study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction. 2020-09-21T13:33:00Z 2020-09-21T13:33:00Z 2011 book ONIX_20200921_9781439812044_15 https://library.oapen.org/handle/20.500.12657/41655 eng application/pdf n/a 9781439812044.pdf https://www.taylorfrancis.com/books/9780429131929 Taylor & Francis CRC Press 10.1201/b10459 10.1201/b10459 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb CRC Press 370 open access
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A study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
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