Statistical analysis of local fluctuations in the signal profile: application to electrocorticograms

Local fluctuations in the profile can vary significantly for nonstationarity signals produced, e.g., by physiological systems. To correctly identify distinctions between the states of such systems, these fluctuations should be processed thoroughly. In the current study, we apply extended detrended f...

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Bibliographic Details
Published in:The European physical journal. ST, Special topics Special topics, 2024, Vol.233 (3), p.471-477
Main Authors: Pavlov, A. N., Semyachkina-Glushkovskaya, O. V.
Format: Article
Language:English
Subjects:
Atomic
Classical and Continuum Physics
Condensed Matter Physics
Materials Science
Measurement Science and Instrumentation
Molecular
Neuro-Sleep as a Complex System
Optical and Plasma Physics
Physics
Physics and Astronomy
Regular Article
Signal distortion
Sleep deprivation
Statistical analysis
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Summary:Local fluctuations in the profile can vary significantly for nonstationarity signals produced, e.g., by physiological systems. To correctly identify distinctions between the states of such systems, these fluctuations should be processed thoroughly. In the current study, we apply extended detrended fluctuation analysis (EDFA) to simulated data with various signal distortions and to electrical activity signals in the brains of mice under normal conditions and after one day of sleep deprivation. We show that the latter states can be distinguished by several EDFA scaling exponents, but their performance is scale dependent. The maximum differences between the states quantified by conventional and extended fluctuation analysis may be associated with different scale ranges. We conclude that the statistical analysis of local fluctuations in the signal profile is useful for developing diagnostically significant markers of the system state.
ISSN:1951-6355
1951-6401
DOI:10.1140/epjs/s11734-023-01047-5