REVIEW OF FLICKER NOISE SPECTROSCOPY IN ELECTROCHEMISTRY

@article{Timashev2007REVIEWOF,
  title={REVIEW OF FLICKER NOISE SPECTROSCOPY IN ELECTROCHEMISTRY},
  author={Serge F. Timashev and Yuriy S. Polyakov},
  journal={Fluctuation and Noise Letters},
  year={2007},
  volume={07}
}
This review presents the fundamentals of Flicker-Noise Spectroscopy (FNS), a general phenomenological methodology in which the dynamics and structure of complex systems, characterized by non-linear interactions, dissipation, and inertia, are analyzed by extracting information from various signals with stochastically varying components generated by the systems. The basic idea of FNS is to treat the correlation links present in sequences of different irregularities, such as spikes, "jumps", and… 
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68 Citations
Background Citations
8
Methods Citations
10

68 Citations

Citation Type

Citation Type

Phenomenology of complexity: Information in chaotic signals
Inner phenomenological essence was revealed for flicker-noise spec-troscopy (FNS), a methodology for extracting information from multifactor dynamic systems on the basis of primary digital…
Flicker-Noise Spectroscopy Method in the Problem of Diagnosing the State of the Cardiovascular System
In the field of research of the cardiovascular system, mainly analysis methods that are strictly mathematically applicable to stationary signals are distinguished; however, nonstationary signals…
Phenomenological analysis of medical time series with regular and stochastic components
Flicker-Noise Spectroscopy (FNS), a general approach to the extraction and parameterization of resonant and stochastic components contained in medical time series, is presented. The basic idea of FNS…
Analysis of biomedical signals by flicker-noise spectroscopy: Identification of photosensitive epilepsy using magnetoencephalograms
TLDR
It is demonstrated that the chaotic component can be adequately described by the anomalous diffusion approximation in the case of control subjects, and implies that healthy organisms can suppress the perturbations brought about by the flickering stimuli and reorganize themselves.
Analysis of Discrete Signals with Stochastic Components Using flicker Noise Spectroscopy
TLDR
The analysis of electroencephalogram measurements for a teenager with schizophrenic symptoms at two different sampling frequencies demonstrates that the "power spectrum" and difference moment contain different information in the case of discrete signals, which was formally proven for continuous signals.
Fundamentals of fluctuation metrology
TLDR
To correctly characterize the dynamic state of such complex objects, including states of objects during nonstationary evolution, or the special features of structures formed under the conditions of external actions of various intensities, it is necessary to introduce autocorrelation dependences averaged over time or spatial intervals on the basis of measured dynamic variables.
Anomalous diffusion as a stochastic component in the dynamics of complex processes.
TLDR
An interpolation expression using the difference moment of the second order as the average characteristic of displacements for identifying the anomalous diffusion in complex processes when the stochastic dynamics of the system under study reaches a steady state.
Dynamics of stainless steel turning: Analysis by flicker-noise spectroscopy
Analysis of EEG signal by flicker-noise spectroscopy: identification of right-/left-hand movement imagination
  • A. Broniec
  • Biology
    Medical & Biological Engineering & Computing
  • 2016
TLDR
As the motor cortex is activated mainly contralaterally to the hand, the analysis of the FNS parameters allows to distinguish between the imagination of the right- and left-hand movement, opening its potential application in the brain–computer interface.
The use of Flicker-Noise Spectroscopy in the diagnosis of photosensitive epilepsy based on the analysis of human magnetoencephalograms
TLDR
It is shown that the use of Flicker-Noise Spectroscopy allows establishing the features of pathological bioelectric brain activity in case of photosensitive epilepsy, and the discovered patterns make it possible to determine the principles for diagnosing this pathology, as well as to suggest methods for assessing the effectiveness of the therapeutic effects.
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References

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TLDR
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