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Epileptic Seizures and the EEG - Measurement, Models, Detection and Prediction (Hardcover, New)
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Epileptic Seizures and the EEG - Measurement, Models, Detection and Prediction (Hardcover, New)
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Analysis 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.
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