Automated EEG-based diagnosis of neurological disorders inventing the future of neurology
Hojjat Adeli, Samanwoy Ghosh-Dastidar ; in corroboration with Nahid Dadmehr.
- Boca Raton, FL CRC Press/Taylor & Francis c2010.
- xxxvi, 387 p. ill. 25 cm.
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.