Automated EEG-based diagnosis of neurological disorders inventing the future of neurology Hojjat Adeli, Samanwoy Ghosh-Dastidar ; in corroboration with Nahid Dadmehr.
Detalles de publicación: Boca Raton, FL CRC Press/Taylor & Francis c2010.Descripción: xxxvi, 387 p. ill. 25 cmISBN:- 9781439815311 (hardcover : alk. paper)
- 1439815313 (hardcover : alk. paper)
- 616.8047547 A229a 22
- RC386.6.E43 A98 2010
- 2010 D-292
- WL 150
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca Encarnación Valdés Colección General bev | 616.8047547 A229a (Navegar estantería(Abre debajo)) | Disponible | 80000002465766 |
Descripciones mejoradas de Syndetics:
Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The book also includes three introductory chapters that familiarizenbsp;readers with these three distinct paradigms.
After extensive research and the discovery of relevant mathematical markers, the authors present a methodology for epilepsy diagnosis and seizure detection that offers an exceptional accuracy rate of 96 percent. They examine technology that has the potential to impact and transform neurology practice in a significant way. Theynbsp;also include some preliminary results towards EEG-based diagnosis of Alzheimer's disease.
The methodology presented in the book is especially versatile and can be adapted and applied for the diagnosis of other brain disorders. The senior author is currently extending the new technology to diagnosis of ADHD and autism. A second contribution made by the book is its presentation and advancement of Spiking Neural Networks as the seminal foundation of a more realistic and plausible third generation neural network.
Includes bibliographical references and index.
Time-frequency analysis : wavelet transforms -- Chaos theory -- Classifier designs -- Electroencephalograms and epilepsy -- Analysis of EEGs in an epileptic patient using wavelet transform -- Wavelet-chaos methodology for analysis of EEGs and EEG sub-bands -- Mixed-band wavelet-chaos neural network methodology -- Principal component analysis-enhanced cosine radial basis function neural network -- Alzheimer's disease and models of computation : imaging, classification, and neural models -- Alzheimer's disease : models of computation and analysis of EEGs -- A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease -- Spiking neural networks : spiking neurons and learning algorithms -- Improved spiking neural networks with application to EEG classification and epilepsy and seizure detection -- A new supervised learning algorithm for multiple spiking neural networks -- Applications of multiple spiking neural networks : EEG classification and epilepsy and seizure detection.
Notas de autor provistas por Syndetics
Hojjat Adeli is the Abba G. Lichtenstein Professor at The Ohio State University, Editor-in-Chief of the International Journal of Neural Systems, and author of 14 pioneering books. Samanwoy Ghosh-Dastidar is Principal Biomedical Engineer at ANSAR Medical Technologies in Philadelphia. Nahid Dadmehr is a board-certified neurologist in practice in Ohio since 1991.