Abstract
Flicker‐Noise Spectroscopy (FNS) as a new phenomenological approach for extracting information hidden in chaotic signals is presented. According to FNS, the information is stored in sequences of distinct types of irregularities — spikes, jumps, and discontinuities of derivatives of different orders of chaotic signals. FNS application to analysis of Parkinsonian tremor dynamics studied by using laser systems is demonstrated. FNS could be considered as a new instrument to early diagnostics of patient states.
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