EMD-Chaos based analysis of EEG signals for early seizure detection: An analysis and practical approach - Image 1

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LAP Lambert Academic Publishing EMD-Chaos based analysis of EEG signals for early seizure detection: An analysis and practical approach

Name: EMD-Chaos based analysis of EEG signals for early seizure detection: An analysis and practical approach
Brand: LAP Lambert Academic Publishing
Price: 50.0 GBP
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Electronics Engineering

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Description

In this thesis, a method has been developed to analyze EEG signals for early detection of seizure using empirical mode decomposition (EMD) and chaos.Chaos in EEG is deﬁned by the tendency to gravitate towards speciﬁc regions in phase space. Lyapunov exponent and Kol-mogorov complexity are the important factors regarding chaotic behavior of any dynamical system. In this thesis, the Largest Lyapunov Exponent (LLE) of the EEG signal over time is observed and decision about Epileptic Seizure is taken. It is seen that from normal to seizure state transition, the amount of chaos in EEG is drastically reduced. Thus, the behavior of chaos in EEG signal described above can be used for seizure detection.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3847311751
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electronics & Communications Engineering > Electronics Engineering
Domain: Amazon UK
Release Date: 08 December 2011
Listed Since: 24 December 2011

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LAP Lambert Academic Publishing EMD-Chaos based analysis of EEG signals for early seizure detection: An analysis and practical approach

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