Computational Intelligence Techniques in Diagnosis of Brain Diseases
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 efficien...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Singapore ,
2018.
|
| Edition: | 1st ed. 2018. |
| Series: | SpringerBriefs in Forensic and Medical Bioinformatics,
|
| Subjects: | |
| ISBN: | 9789811065293 |
| ISSN: | 2196-8845 |
| Online Access: |
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| 007 | cr nn 008mamaa | ||
| 008 | 170906s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811065293 | ||
| 024 | 7 | |a 10.1007/978-981-10-6529-3 |2 doi | |
| 035 | |a CVTIDW07844 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Gurumoorthy, Sasikumar. |4 aut | |
| 245 | 1 | 0 | |a Computational Intelligence Techniques in Diagnosis of Brain Diseases |h [electronic resource] / |c by Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a XI, 70 p. 35 illus., 7 illus. in color. |b online resource. | ||
| 490 | 1 | |a SpringerBriefs in Forensic and Medical Bioinformatics, |x 2196-8845 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Neurology . | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a User interfaces (Computer systems). | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-6529-3 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE05124 | ||
| 919 | |a 978-981-10-6529-3 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 273883 |d 273883 | ||