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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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Published in: | The European physical journal. ST, Special topics Special topics, 2024, Vol.233 (3), p.471-477 |
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description | 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. |
doi_str_mv | 10.1140/epjs/s11734-023-01047-5 |
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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 |
title | Statistical analysis of local fluctuations in the signal profile: application to electrocorticograms |
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