Calculation of EEG correlation dimension: Large massifs of experimental data

Mekler, Alexey

doi:10.1016/j.cmpb.2008.06.009

Cited by 17 publications

(17 citation statements)

References 14 publications

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“…Here embedding dimension is chosen as 10, which has been suggested by several researches [18]. In order to eliminate edge effects, min r and max r are introduced.…”

Section: B Calculation Of Correlation Dimensionmentioning

confidence: 99%

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Environment Control System Using Correlation Dimension of Alpha Wave

Wang

Liu

et al. 2010

2010 International Conference on Body Sensor Networks

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Electroencephalograph has been used in some Environment Control System to help severe disabled people to improve their quality of life. This paper studied the difference of correlation dimension of alpha wave between eye opening and eye closure and proposed a method to control device on and off using correlation dimension of alpha wave. By modifying Grassberger and Procaccia method, the correlation dimension could be achieved automatically. The experiment showed that correlation dimension of alpha wave could be used to distinguish eye opening and closure and help severe disabled people.

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“…Here embedding dimension is chosen as 10, which has been suggested by several researches [18]. In order to eliminate edge effects, min r and max r are introduced.…”

Section: B Calculation Of Correlation Dimensionmentioning

confidence: 99%

“…To solve these problems above, Sprott proposed a method reducing required number of data points for a given accuracy [16]. Harikrishnan and Mekler proposed nonsubjective methods for processing EEG data [17,18].…”

Section: Introductionmentioning

confidence: 98%

Environment Control System Using Correlation Dimension of Alpha Wave

Wang

Liu

et al. 2010

2010 International Conference on Body Sensor Networks

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“…En los estudios presentados por (Logan & Matew, 1996a;1996b) se muestra que el valor de d2 es diferenciable entre un rodamiento normal y uno con alguno de los principales defectos en rodamientos (e.g., defecto en elemento rodante, en carril interno y carril externo). Sin embargo, el cálculo de la dimensión de correlación requiere de una gran cantidad de datos, una selección inteligente de la región de escalamiento y un tiempo computacional sustancial (Mekler, 2008). Por lo tanto, este tipo de medidas de complejidad no son adecuadas para el diagnóstico en tiempo real de la condición de rodamientos.…”

Section: Revista Tecno Lógicasunclassified

Método para el diagnóstico de rodamientos utilizando la complejidad de Lempel-Ziv

Guarín-Lopez

Gutiérrez

Delgado-Trejos

2011

TecnoL.

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ResumenLa presencia de una falla en un rodamiento hace que el sistema mecánico evolucione de una dinámica débilmente no lineal a una dinámica fuertemente no lineal, por lo tanto los métodos lineales comunes en el dominio del tiempo y la frecuencia no son adecuados para el diagnóstico de rodamientos. En el presente artículo se propone una metodología novedosa no lineal para la detección de fallas en rodamientos, que usa la medida de complejidad sugerida por Lempel y Ziv para caracterizar las señales de vibración. La ventaja principal de este método sobre las demás técnicas de análisis no lineal es que no requiere la reconstrucción de un atractor, por lo que es adecuado para realizar análisis en tiempo real. Los resultados obtenidos muestran que la complejidad de LempelZiv es una herramienta efectiva para el diagnóstico de rodamientos. Palabras claveDiagnóstico de rodamientos, Complejidad de Lempel-Ziv, Aná-lisis de señales de vibraciones.

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“…Fractal characteristics of the AE signal and the attractor, which was reconstructed by the AE signal pattern, were calculated with the help of TISEAN 3.0.1 software [14][15][16]. The correlation dimension was calculated as follows.…”

Section: Methodsmentioning

confidence: 99%

“…Input data were set to be within [0,1] interval, with the variable lag set. Since it is quite challenging to determine the longest linear segment of local bending on the Rapp's graph [16], D 2 was calculated as an average value of the graph [17] (Fig. 1).…”

Section: Methodsmentioning

confidence: 99%

Forecasting Durability and Cyclic Strength of Aluminum Alloy AA2219 Using Fractal Analysis of Acoustic Emission

Sysoev¹,

Kolykhalov²,

Кузнецов³

et al. 2016

Kms

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Acoustic emission (AE) monitoring was used to examine the fatigue failure of aluminum alloy AA2219 under cyclic loading. AE fractal analysis revealed separate sources of elastic waves on the macro-, meso-, and micro-levels of the deformed material. The correlation between the number of AE hits, revealed during the first loading cycle, from the AE sources was shown on the macrolevel and the number of loading cycles, leading to the destruction of the sample. Results achieved allow forecasting durability of materials made of AA2219 alloy right after the first loading half-cycle.

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Calculation of EEG correlation dimension: Large massifs of experimental data

Cited by 17 publications

References 14 publications

Environment Control System Using Correlation Dimension of Alpha Wave

Environment Control System Using Correlation Dimension of Alpha Wave

Método para el diagnóstico de rodamientos utilizando la complejidad de Lempel-Ziv

Forecasting Durability and Cyclic Strength of Aluminum Alloy AA2219 Using Fractal Analysis of Acoustic Emission

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