Computational Intelligence Techniques in Diagnosis of Brain Diseases

• Κύριοι συγγραφείς: Gurumoorthy, Sasikumar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Muppalaneni, Naresh Babu (http://id.loc.gov/vocabulary/relators/aut), Gao, Xiao-Zhi (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: SpringerBriefs in Forensic and Medical Bioinformatics,
• Θέματα: 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 Interaction.
• Φυσική περιγραφή: XI, 70 p. 35 illus., 7 illus. in color. online resource.
• ISBN: 9789811065293
• ISSN: 2196-8845
• DOI: 10.1007/978-981-10-6529-3

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.