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  • Search: subject:"Epileptic seizures"
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Year of publication
Subject
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Epileptic seizures 5 EEG 4 Signal entropy 4 Time–frequency signal analysis 4 Wavelet analysis 4 Complexity 2 epileptic seizures 2 Complex system dynamics 1 EEG spatial correlations 1 Epileptic seizures count 1 Forward backward algorithm 1 Nonextensivity 1 Nonlinear dynamics metrics tools 1 Nonlinear mixed effects model 1 Preseismic electromagnetic emissions 1 SAEM algorithm 1 bubbles 1 damage 1 drawdowns 1 earthquakes 1 evolution 1 extinction 1 extreme events 1 failure 1 finance 1 floods 1 forecast 1 forest fire 1 geophysics 1 hurricane 1 hydrodynamics 1 landlsides 1 neurosciences 1 rain 1 rupture 1 snow avalanche 1 social sciences 1 storm 1 turbulence 1 volcanoes 1
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Online availability
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Undetermined 6 Free 1
Type of publication
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Article 6 Book / Working Paper 2
Language
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Undetermined 7 English 1
Author
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Martin, M.T 2 Plastino, A 2 Rosso, O.A 2 Araujo, Tanya 1 Balasis, Georgios 1 Delattre, M. 1 Eftaxias, Konstantinos 1 Lavielle, M. 1 Mairal, Marı́a Liliana 1 Martin, M.T. 1 Minadakis, George 1 Ouillon, Guy 1 Plastino, A. 1 Potirakis, Stelios. M. 1 Rosso, O.A. 1 Rosso, Osvaldo A 1 Silva, A. Martins da 1 Sornette, Didier 1
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Institution
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Department of Management, Technology and Economics (D-MTEC), Eidgenössische Technische Hochschule Zürich (ETHZ) 1 ISEG - School of Economics and Management, Department of Economics, University of Lisbon 1
Published in...
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Physica A: Statistical Mechanics and its Applications 5 Computational Statistics & Data Analysis 1 Working Papers / Department of Management, Technology and Economics (D-MTEC), Eidgenössische Technische Hochschule Zürich (ETHZ) 1 Working Papers Department of Economics 1
Source
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RePEc 8
Showing 1 - 8 of 8
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Dynamical analogy between epileptic seizures and seismogenic electromagnetic emissions by means of nonextensive statistical mechanics
Eftaxias, Konstantinos; Minadakis, George; Potirakis, … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 3, pp. 497-509
The field of study of complex systems considers that the dynamics of complex systems are founded on universal principles that may be used to describe a great variety of scientific and technological approaches of different types of natural, artificial, and social systems. Several authors have...
Persistent link: https://www.econbiz.de/10010595173
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Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm
Delattre, M.; Lavielle, M. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 2073-2085
Mixed hidden Markov models have been recently defined in the literature as an extension of hidden Markov models for dealing with population studies. The notion of mixed hidden Markov models is particularly relevant for modeling longitudinal data collected during clinical trials, especially when...
Persistent link: https://www.econbiz.de/10010577712
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Disturbance of patterns in EEG spatial correlations
Araujo, Tanya; Silva, A. Martins da - ISEG - School of Economics and Management, Department … - 2006
In the study of epileptic seizure or epileptic attack, a strategy receiving increased attention is the use of nonlinear methods in detecting the earliest dynamical changes preceding seizures. The methods usually consider continuous EEG measurements from epileptic patients to predict and...
Persistent link: https://www.econbiz.de/10005463733
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Evidence of self-organization in brain electrical activity using wavelet-based informational tools
Rosso, O.A.; Martin, M.T.; Plastino, A. - In: Physica A: Statistical Mechanics and its Applications 347 (2005) C, pp. 444-464
In the present work, we show that appropriate information-theory tools based on the wavelet transform (relative wavelet energy; normalized total wavelet entropy, H; generalized wavelet complexity, CW), when applied to tonic–clonic epileptic EEG data, provide one with valuable insights into the...
Persistent link: https://www.econbiz.de/10011057754
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Brain electrical activity analysis using wavelet-based informational tools (II): Tsallis non-extensivity and complexity measures
Rosso, O.A; Martin, M.T; Plastino, A - In: Physica A: Statistical Mechanics and its Applications 320 (2003) C, pp. 497-511
The processing of information by the brain is reflected in dynamical changes of the electrical activity in (i) time, (ii) frequency, and (iii) space. Therefore, the concomitant studies require methods capable of describing the qualitative variation of the signal in both time and frequency. The...
Persistent link: https://www.econbiz.de/10011064140
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Brain electrical activity analysis using wavelet-based informational tools
Rosso, O.A; Martin, M.T; Plastino, A - In: Physica A: Statistical Mechanics and its Applications 313 (2002) 3, pp. 587-608
The traditional way of analyzing brain electrical activity, on the basis of Electroencephalography (EEG) records, relies mainly on visual inspection and years of training. Although it is quite useful, of course, one has to acknowledge its subjective nature that hardly allows for a systematic...
Persistent link: https://www.econbiz.de/10010590009
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Characterization of time dynamical evolution of electroencephalographic epileptic records
Rosso, Osvaldo A; Mairal, Marı́a Liliana - In: Physica A: Statistical Mechanics and its Applications 312 (2002) 3, pp. 469-504
Since traditional electrical brain signal analysis is mostly qualitative, the development of new quantitative methods is crucial for restricting the subjectivity in the study of brain signals. These methods are particularly fruitful when they are strongly correlated with intuitive physical...
Persistent link: https://www.econbiz.de/10011059762
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Dragon-kings: Mechanisms, statistical methods and empirical evidence
Sornette, Didier; Ouillon, Guy - Department of Management, Technology and Economics …
This introductory article presents the special Discussion and Debate volume 'From black swans to dragon-kings, is there life beyond power laws?'. We summarize and put in perspective the contributions into three main themes: (i) mechanisms for dragon-kings, (ii) detection of dragon-kings and...
Persistent link: https://www.econbiz.de/10011161412
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