Quantification of Fractional Dynamical Stability of EEG Signals as a Bio-Marker for Cognitive Motor Control
نویسندگان
چکیده
Assessing the stability of biological system models has aided in uncovering a plethora new insights genetics, neuroscience, and medicine. In this paper, we focus on analyzing neurological signals, including electroencephalogram (EEG) signals. Interestingly, spatiotemporal discrete-time linear fractional-order systems (DTLFOS) have been shown to accurately efficiently represent variety physiological Here, leverage conditions for DTLFOS assess real-world EEG data set. By signals during movement rest tasks, provide evidence usefulness quantification as bio-marker cognitive motor control.
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ژورنال
عنوان ژورنال: Frontiers in control engineering
سال: 2022
ISSN: ['2673-6268']
DOI: https://doi.org/10.3389/fcteg.2021.787747