AUTHOR=Reed Emily A. , Bogdan Paul , Pequito Sérgio 

TITLE=Quantification of Fractional Dynamical Stability of EEG Signals as a Bio-Marker for Cognitive Motor Control

JOURNAL=Frontiers in Control Engineering

VOLUME=2

YEAR=2022

URL=https://www.frontiersin.org/journals/control-engineering/articles/10.3389/fcteg.2021.787747

DOI=10.3389/fcteg.2021.787747

ISSN=2673-6268

ABSTRACT=<p>Assessing the stability of biological system models has aided in uncovering a plethora of new insights in genetics, neuroscience, and medicine. In this paper, we focus on analyzing the stability of neurological signals, including electroencephalogram (EEG) signals. Interestingly, spatiotemporal discrete-time linear fractional-order systems (DTLFOS) have been shown to accurately and efficiently represent a variety of neurological and physiological signals. Here, we leverage the conditions for stability of DTLFOS to assess a real-world EEG data set. By analyzing the stability of EEG signals during movement and rest tasks, we provide evidence of the usefulness of the quantification of stability as a bio-marker for cognitive motor control.</p>