Computational intelligence techniques in diagnosis of brain diseases 1st ed.

Author

• Gurumoorthy, Sasikumar

Additional Author(s)

• Muppalaneni, Naresh Babu
• Gao, Xiao-Zhi

Publisher

Singapore: Springer Nature Singapore Pte Ltd., 2018

Language

English

ISBN

9789811065293

Series

SpringerBriefs in forensic and medical bioinformatics

Subject(s)

• BIOINFORMATICS
• COMPUTATIONAL INTELLIGENCE
• NEUROLOGY

Notes

. .

Abstract

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

Number of Page(s)

1 online resource (xi, 70 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01484/20	616.80475 Gur C	Online !	Available