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Estimation of Drowsiness from Eeg Signals

Harikumar Rajaguru

ISBN 10: 3659120197 / ISBN 13: 9783659120190
Published by LAP LAMBERT Academic Publishing
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Paperback. 56 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783659120190

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Bibliographic Details

Title: Estimation of Drowsiness from Eeg Signals

Publisher: LAP LAMBERT Academic Publishing

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

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.

About the Author:

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.

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