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Journal ArticleDOI

Wavelet entropy: a new tool for analysis of short duration brain electrical signals.

Osvaldo A. Rosso, +6 more
- 30 Jan 2001 - 
- Vol. 105, Iss: 1, pp 65-75
TLDR
The major objective of the present work was to characterize in a quantitative way functional dynamics of order/disorder microstates in short duration EEG signals with specific quantifiers derived to characterize how stimulus affects electrical events in terms of frequency synchronization (tuning) in the event related potentials.
About: 
This article is published in Journal of Neuroscience Methods.The article was published on 2001-01-30. It has received 780 citations till now. The article focuses on the topics: Wavelet & Discrete wavelet transform.

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Citations
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Journal ArticleDOI

Nonlinear multivariate analysis of neurophysiological signals

Ernesto Pereda, +2 more
- 01 Sep 2005 - 
TL;DR: This work describes the multivariate linear methods most commonly used in neurophysiology and shows that they can be extended to assess the existence of nonlinear interdependence between signals and describes nonlinear methods based on the concepts of phase synchronization, generalized synchronization and event synchronization.
Proceedings Article

Event Detection in Twitter

Jianshu Weng, +1 more
TL;DR: This paper attempts to tackle the challenges of event detection in Twitter with EDCoW (Event Detection with Clustering of Wavelet-based Signals), which builds signals for individual words by applying wavelet analysis on the frequencybased raw signals of the words.
Journal ArticleDOI

Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review

Massimiliano Zanin, +3 more
- 23 Aug 2012 - 
TL;DR: The theoretical foundations of the permutation entropy are analyzed, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems.
Journal ArticleDOI

Application of entropies for automated diagnosis of epilepsy using EEG signals

U. Rajendra Acharya, +4 more
- 01 Nov 2015 - 
TL;DR: Different ranges for various entropies used to differentiate normal, interictal, and ictal EEG signals are proposed and ranked them depending on the ability to discrimination ability of three classes to classify the different stages of epilepsy.
Journal ArticleDOI

Advances in Quantitative Electroencephalogram Analysis Methods

Nitish V. Thakor, +1 more
- 15 Jul 2004 - 
TL;DR: With these advances, qEEG plays a very important role in basic research and clinical studies of brain injury, neurological disorders, epilepsy, sleep studies and consciousness, and brain function.
References
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Journal ArticleDOI

A mathematical theory of communication

Claude E. Shannon
- 01 Jul 1948 - 
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Book

A wavelet tour of signal processing

Stéphane Mallat
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Book

Ten lectures on wavelets

Ingrid Daubechies
TL;DR: This paper presents a meta-analyses of the wavelet transforms of Coxeter’s inequality and its applications to multiresolutional analysis and orthonormal bases.
Journal ArticleDOI

Ten Lectures on Wavelets

Ingrid Daubechies, +1 more
- 01 Nov 1992 - 
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.

Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fourth Edition

Ernst Niedermeyer, +1 more
TL;DR: Historical aspects introduction to the neurophysiological basis of the EEG and DC potentials cellular substrates of spontaneous and evoked brain rhythms dynamics of EEG as signals and neuronal populations are introduced.