Name: Epileptic Seizures and the Eeg: Measurement, Models, Detection and Prediction (en Inglés)
SKU: 3768518
Price: 4527.97 MXN
Availability: InStock
Author: Varsavsky, Andrea ; Mareels, Iven ; Cook, Mark
ISBN: 9781439812006

portada Epileptic Seizures and the Eeg: Measurement, Models, Detection and Prediction (en Inglés)

Epileptic Seizures and the Eeg: Measurement, Models, Detection and Prediction (en Inglés)

Formato

Libro Físico

Autor

Editorial

Año

2010

Idioma

Inglés

N° páginas

368

Encuadernación

Tapa Dura

Dimensiones

23.6x16.3x2.5 cm

Peso

0.66 kg.

ISBN

1439812004

ISBN13

9781439812006

Categorías

Psicología fisiológica y neuropsicología, biopsicología
Medicina preclínica: ciencias básicas
Neurología y neurofisiología clínicas
Neurociencias
Biotecnología

Epileptic Seizures and the Eeg: Measurement, Models, Detection and Prediction (en Inglés)

Mark Cook (Autor) · Andrea Varsavsky (Autor) · Iven Mareels (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Epileptic Seizures and the Eeg: Measurement, Models, Detection and Prediction (en Inglés)"

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 recordsThe 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 predictionThe 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.