Computational Intelligence Techniques in Diagnosis of Brain Diseases / by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao.
By: Gurumoorthy, Sasikumar, autor
Contributor(s): M., Naresh Babu (Muppalaneni) | Gao, Xiao-Zhi, autor | SpringerLink (Online service)
Material type:
E-bookSeries: (SpringerBriefs in Forensic and Medical Bioinformatics, 2196-8845); (Engineering (Springer-11647)).Publisher: Singapore : Springer International Publishing, 2018Description: 1 recurso en línea (XI, 70 páginas 35 ilustraciones, 7 ilustraciones a color.).ISBN: 9789811065293.Subject: Inteligencia artificial
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q342 .G878 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112588 |
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| Q342 .E965 2017 EB EVOLVE : a bridge between probability, set oriented numerics and evolutionary computation VII | Q342 .F766 2018 EB Frontiers in Computational Intelligence | Q342 .F899 2016 EB Fuzzy Technology : Present Applications and Future Challenges | Q342 .G878 2018 EB Computational Intelligence Techniques in Diagnosis of Brain Diseases | Q342 .I285 2016 EB ICT Innovations 2015 : Emerging Technologies for Better Living | Q342 .I566 2018 EB Innovations in Computational Intelligence Best Selected Papers of the Third International Conference on REDSET 2016 | Q342 .I566 2018 EB Innovations in Biomedical Engineering |
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.
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