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2018 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Computational Intelligence Techniques in Diagnosis of Brain Diseases

verfasst von: Dr. Sasikumar Gurumoorthy, Dr. Naresh Babu Muppalaneni, Prof. Xiao-Zhi Gao

Verlag: Springer Singapore

Buchreihe : SpringerBriefs in Applied Sciences and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
The EEG is a measure of voltage as a function of time. The voltage of the EEG regulates its amplitude (measured from peak to peak). EEG amplitudes in the cortex range start from 500 to 1500 μV, but the amplitudes of the scalp EEG range between 10 and 100 μV.
Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao
Chapter 2. Analysis of Electroencephalogram (EEG) Using ANN
Abstract
Electroencephalogram is a vital tool aimed at diagnosing, monitoring then managing nervous disorders interrelated to brain diseases such as epilepsy, tumor, encephalitis, and sleep disorders; using hardware like Electroencephalogram (EEG) wherein the strokes are directly detected and the brain signals are recognized.
Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao
Chapter 3. Classification and Analysis of EEG Using SVM and MRE
Abstract
Electroencephalogram (EEG) is the brain signal processing system that tolerates gaining the appreciation of the multipart internal mechanisms of the brain and irregular brain waves are exposed to be associated through exact brain syndromes.
Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao
Chapter 4. Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System
Abstract
In the new direction of understand the signal that is created from the brain organization is one of the main chores in the brain signal processing.
Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao
Chapter 5. Analysis of EEG to Find Alzheimer’s Disease Using Intelligent Techniques
Abstract
The human brain is arguably one of the most complex systems in the universe. Brain signals recognition has been a problem that computers are not efficient at.
Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Xiao-Zhi Gao
Metadaten
Titel
Computational Intelligence Techniques in Diagnosis of Brain Diseases
verfasst von
Dr. Sasikumar Gurumoorthy
Dr. Naresh Babu Muppalaneni
Prof. Xiao-Zhi Gao
Copyright-Jahr
2018
Verlag
Springer Singapore
Electronic ISBN
978-981-10-6529-3
Print ISBN
978-981-10-6528-6
DOI
https://doi.org/10.1007/978-981-10-6529-3