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Computational intelligence techniques in diagnosis of brain diseases

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Gurumoorthy, Sasikumar Muppalaneni, Naresh Babu Springer Nature Singapore Pte Ltd. (Singapore, 2018) (eng) English 9789811065293 SpringerBriefs in forensic and medical bioinformatics 1st ed. NEUROLOGY; Unknown 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.

Physical dimension
1 online resource (xi, 70 p.) Unknown ill. (in color.)

Summary / review / table of contents

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.


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Access no. Call number Location Status
01484/20 616.80475 Gur C Online Available