Evidence map›Paper›PMID 36611385›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Extended Detrended Fluctuation Analysis of Coarse-Grained Time Series.

Alexander A Koronovskii, Inna A Blokhina, Alexander V Dmitrenko, Matvey A Tuzhilkin, Tatyana V Moiseikina, Inna V Elizarova, Oxana V Semyachkina-Glushkovskaya, Alexey N Pavlov

Abstract read
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In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alexander A KoronovskiiPhysics of Open Systems Department, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Inna A BlokhinaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0003-1517-0857
Alexander V DmitrenkoDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Matvey A TuzhilkinDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Tatyana V MoiseikinaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Inna V ElizarovaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Oxana V Semyachkina-GlushkovskayaDepartment of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0001-6753-7513
Alexey N PavlovPhysics of Open Systems Department, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.ORCID 0000-0001-9946-8938

Funding

Government of the Russian Federation 075-15-2022-1094Russian Science Foundation 19-12-00037
6 · The paper itself

Abstract

A coarse-graining procedure, which involves averaging time series in non-overlapping windows followed by processing of the obtained multiple data sets, is the initial step in the multiscale entropy computation method. In this paper, we discuss how this procedure can be applied with other methods of time series analysis. Based on extended detrended fluctuation analysis (EDFA), we compare signal processing results for data sets with and without coarse-graining. Using the simulated data provided by the interacting nephrons model, we show how this procedure increases, up to 48%, the distinctions between local scaling exponents quantifying synchronous and asynchronous chaotic oscillations. Based on the experimental data of electrocorticograms (ECoG) of mice, an improvement in differences in local scaling exponents up to 41% and Student's

Indexed as

diagnosticselectrical brain activityfluctuation analysisscaling exponentsignal processing

Identifiers

PMID36611385
PMCPMC9818195

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.