Multifractal fluctuations in earthquake-related geoelectrical signals

Telesca, Luciano; Lapenna, Vincenzo; Macchiato, M.

doi:10.1088/1367-2630/7/1/214

Cited by 78 publications

(48 citation statements)

References 43 publications

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“…However, despite some pressimism, in many seismically actives zones around the world there exist research programs for the study of possible precursory phenomena of eathquakes (Lomnitz, 1990;Hayakawa, 1999;Hayakawa and Molchanov, 2002;Telesca et al, 2005). In particular, one of the techniques used in the search of earthquake precursors since more than three decades ago consists in monitoring the so-called electric selfpotential field.…”

Section: Introductionmentioning

confidence: 99%

Multiscale entropy analysis of electroseismic time series

Guzmán‐Vargas¹,

Ramírez-Rojas²,

Angulo‐Brown³

2008

Nat. Hazards Earth Syst. Sci.

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Abstract. In this work we use the multiscale entropy method to analyse the variability of geo-electric time series monitored in two sites located in Mexico. In our analysis we consider a period of time from January 1995 to December 1995. We systematically calculate the sample entropy of electroseismic time series. Important differences in the entropy profile for several time scales are observed in records from the same station. In particular, a complex behaviour is observed in the vicinity of a M=7.4 EQ occurred on 14 September 1995. Besides, we also compare the changes in the entropy of the original data with their corresponding shuffled version.

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Section: Introductionmentioning

confidence: 99%

Multiscale entropy analysis of electroseismic time series

Guzmán‐Vargas¹,

Ramírez-Rojas²,

Angulo‐Brown³

2008

Nat. Hazards Earth Syst. Sci.

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“…Many studies have been focused on fractal and multifractal properties of geolectric signals in order to reveal possible electromagnetic precursors of EQ with significant magnitude (Varotsos et al, Correspondence to: A. Ramírez-Rojas (arr@correo.azc.uam.mx) 1996, 2002Eftaxias et al, 2004;Hayakawa et al, 1999Hayakawa et al, , 2000Hayakawa and Timashev, 2006;Smirnova et al, 2001;Telesca et al, 2001Telesca et al, , 2003Telesca et al, , 2005aTelesca et al, , 2005bTelesca et al, , 2007Ida et al, 2005;Ida and Hayakawa, 2006;Ida et al, 2007;. Furthermore, the presence of precursory signatures of EQs has been clearly identified in the ULF range for large magnitude (Ms>6) EQ's (Fraser-Smith et al, 1990;Molchanov et al, 1992;Kopytenko et al, 1993Flores-Marquez et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Statistical features of seismoelectric signals prior to M7.4 Guerrero-Oaxaca earthquake (México)

Ramírez-Rojas¹,

Márquez²,

Guzmán‐Vargas³

et al. 2008

Nat. Hazards Earth Syst. Sci.

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Abstract. In this paper a statistical analysis of seismoelectric ULF signals prior to the M7.4 Guerrero-Oaxaca earthquake (EQ) occurred at the Mexican Pacific coast on 14 September 1995, has been performed. The signals were simultaneously recorded at three monitoring stations from the last months of 1994 until July of 1996. The nonlinear time series methods of Higuchi fractal dimension (HFD) and detrended fluctuation analysis (DFA) have been used. In the three data sets we found some complex dynamical behaviors that seemingly reflect a relaxation-EQ preparation-main shock-relaxation process. In particular, clear spike-like anomalies in both DFAand HFD-exponents some months before the main shock are revealed.

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“…Kantelhardt et al [84] conceived MFDFA for the first time as a generalization of the standard detrended fluctuation analysis (DFA), and have applied it successfully to study multifractal scaling behaviour of various non-stationary time series [84][85][86][87][88][89][90]. The application of MFDFA provides a method of determining the self-similarity or persistence in the series.…”

Section: Translational Biomedicine Issn 2172-0479mentioning

confidence: 99%

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

Ghosh¹,

Dutta²,

Chakraborty³

et al. 2017

Transl Biomed

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Background: Epileptic seizures can lead to changes in autonomic function affecting the sympathetic, parasympathetic and enteric nervous systems. Changes in cardiac signals are potential biomarkers that may provide an extracerebral indicator of ictal onset in some patients. Patients suffering from epilepsy experience some significant cardiac changes during seizure, causing some serious cardiac malfunctions which may lead to sudden unexpected death (SUDEP). The fluctuations observed in the heart rate during the process are non-linear and extremely complex. Chaos based non-linear methodology has become a very powerful tool in recent years in analysing such complex systems. Although a few papers on effect of seizure have been reported where study was done to assess the dynamics of cardiac systems for post-ictal patients not using non-linear technique, this paper reports the analysis of ECG signals of post-ictal patients using a modern and rigorous non-linear technique.

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Multifractal fluctuations in earthquake-related geoelectrical signals

Cited by 78 publications

References 43 publications

Multiscale entropy analysis of electroseismic time series

Multiscale entropy analysis of electroseismic time series

Statistical features of seismoelectric signals prior to M7.4 Guerrero-Oaxaca earthquake (México)

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

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