Computational Intelligence Techniques in Diagnosis of Brain Diseases [electronic resource] / by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.
Tipo de material:
TextoSeries SpringerBriefs in Forensic and Medical BioinformaticsEditor: Singapore : Springer Singapore : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XI, 70 p. 35 illus., 7 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811065293Tema(s): Computational intelligence | Neurology | Biomedical engineering | Signal processing | Image processing | Speech processing systems | Bioinformatics | User interfaces (Computer systems) | Computational Intelligence | Neurology | Biomedical Engineering and Bioengineering | Signal, Image and Speech Processing | Computational Biology/Bioinformatics | User Interfaces and Human Computer InteractionFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
1.Introduction -- 2.Analysis of Electroencephalogram (EEG) using ANN -- 3.Classification and Analysis of EEG using SVM and MRE -- 4.Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System -- 5.Analysis of EEG to find Alzheimer's disease using Intelligent Techniques.
This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or "brain waves" to communicate between humans and computers - an area that can be extended for use in this domain.
UABC ; Temporal ; 01/01/2021-12/31/2023.
