Name: Automated Eeg-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology (en Inglés)
Price: 1124049.00 COP
Availability: InStock
Author: Adeli, Hojjat ; Ghosh-Dastidar, Samanwoy
ISBN: 9781439815311

portada Automated Eeg-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology (en Inglés)

Automated Eeg-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology (en Inglés)

Formato

Libro Físico

Autor

Hojjat Adeli

Samanwoy Ghosh-Dastidar

Editorial

CRC Press

Idioma

Inglés

N° páginas

423

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.5 x 2.8 cm

Peso

0.84 kg.

ISBN

9781439815311

ISBN13

9781439815311

Categorías

Medicina preclínica: ciencias básicas
Neurología y neurofisiología clínicas
Neurociencias
Biotecnología

Automated Eeg-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology (en Inglés)

Hojjat Adeli (Autor) · Samanwoy Ghosh-Dastidar (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Automated Eeg-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology (en Inglés)"

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 familiarize 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. They 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.