Estimation of Drowsiness from EEG Signals: Estimation of Drowsiness from EEG Signals - A Correlation Dimension Approach - Couverture souple

Rajaguru, Harikumar; Bojan, Vinoth Kumar; Thangavel, Vijayakumar

 
9783659120190: Estimation of Drowsiness from EEG Signals: Estimation of Drowsiness from EEG Signals - A Correlation Dimension Approach
Couverture souple
ISBN 10 : 3659120197 ISBN 13 : 9783659120190
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The EEG signals are highly subjective and the information about the various states may appear at random in the time scale. For example, a time series may be obtained by recording at regular time intervals the mean electrical activity of a portion of the mammalian brain. More specifically, by using a time series one can determine the possibility of constructing an attractor and thereby establishing the deterministic character of dynamic underlying system. Such methods from the non linear dynamical theory can be dragged for better perception of EEG signals. The complexity of drowsiness estimation and characterizing the EEG signals can be brought under some chaotic optimization techniques. Chapter1 introduces Chaos, Non linear dynamics and focus of the research. Chapter 2 discusses the literature survey of correlation dimension estimation. Chapter 3 and Chapter 4 enumerate the review of LAB view and Mat lab software for the book. Results are discussed in Chapter 5. Chapter 6 brings out the conclusion of this work. Future scope of this work is solemnized in chapter 7. This monograph is useful for all Engineering undergraduate, graduates students and practicing engineers.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The EEG signals are highly subjective and the information about the various states may appear at random in the time scale. For example, a time series may be obtained by recording at regular time intervals the mean electrical activity of a portion of the mammalian brain. More specifically, by using a time series one can determine the possibility of constructing an attractor and thereby establishing the deterministic character of dynamic underlying system. Such methods from the non linear dynamical theory can be dragged for better perception of EEG signals. The complexity of drowsiness estimation and characterizing the EEG signals can be brought under some chaotic optimization techniques. Chapter1 introduces Chaos, Non linear dynamics and focus of the research. Chapter 2 discusses the literature survey of correlation dimension estimation. Chapter 3 and Chapter 4 enumerate the review of LAB view and Mat lab software for the book. Results are discussed in Chapter 5. Chapter 6 brings out the conclusion of this work. Future scope of this work is solemnized in chapter 7. This monograph is useful for all Engineering undergraduate, graduates students and practicing engineers.

Biographie de l'auteur

Dr. R. Harikumar received his B.E (ECE)degree fromREC Trichy1988.He obtained his M.E (AppliedElectronics) degree from College of Engineering,Guindy, Anna university Chennai in 1990. He wasawarded Ph.D. in I&C Engg from Anna universityChennai in 2009. He has 23 years of teachingexperience at college level. His area of interest isDSP,ME.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659120197
ISBN 13 
9783659120190
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
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