A point process analysis of electrogastric variability

T. J. Contreras-Uribe, L. I. Garay-Jiménez, L. Guzmán-Vargas

Research output: Contribution to journalArticle

Abstract

© 2016 Elsevier Ltd The electrogastric variability is evaluated in terms of the peak-to-peak (pp) sequences. In our study we applied the Fano and Allan methodologies to pp sequences from two groups of individuals: healthy subjects and patients diagnosed with diabetes mellitus. Our goal is to determine the presence of temporal correlations in these pp time series, which are considered as point processes. We find that under healthy conditions, both Fano and Allan statistics exhibit scaling behavior with average exponents within the range of long-term correlated fluctuations, whereas for the diseased group, the average scaling exponent is close to uncorrelated dynamics. We also demonstrate that for the healthy data these scaling properties were replaced by considerably different behaviors after random shuffling of pp sequences. Moreover, our results are also corroborated by the fractal dimension method where we found that healthy dynamics is characterized by positive correlations and diseased data resemble uncorrelated fluctuations.
Original languageAmerican English
Pages (from-to)16-22
Number of pages13
JournalChaos, Solitons and Fractals
DOIs
StatePublished - 1 Jan 2017

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Point Process
Fractal dimension
Medical problems
Fluctuations
Diabetes Mellitus
Time series
Temporal Correlation
Scaling Exponent
Statistics
Scaling Behavior
Fractal Dimension
Exponent
scaling
Scaling
Methodology
exponents
diabetes mellitus
Range of data
Demonstrate
fractals

Cite this

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A point process analysis of electrogastric variability. / Contreras-Uribe, T. J.; Garay-Jiménez, L. I.; Guzmán-Vargas, L.

In: Chaos, Solitons and Fractals, 01.01.2017, p. 16-22.

Research output: Contribution to journalArticle

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