Quantification of Fractional Dynamical Stability of EEG Signals as a Bio-Marker for Cognitive Motor Control
Quantification of Fractional Dynamical Stability of EEG Signals as a Bio-Marker for Cognitive Motor Control
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DOI：
10.3389/fcteg.2021.787747
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发表时间：
2022-02
期刊：
影响因子：
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通讯作者：
Emily A. Reed;Paul C. Bogdan;S. Pequito
中科院分区：
文献类型：
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作者：
Emily A. Reed;Paul C. Bogdan;S. Pequito
评估生物系统模型的稳定性有助于揭示遗传学，神经科学和医学方面的大量新见解。在本文中，我们专注于分析的神经信号，包括脑电信号（EEG）的稳定性。有趣的是，时空离散时间线性分数阶系统（DTLFOS）已被证明可以准确有效地表示各种神经和生理信号。在这里，我们利用DTLFOS的稳定性条件来评估真实世界的EEG数据集。通过分析运动和休息任务中脑电信号的稳定性，我们提供了证据的有用性的量化的稳定性作为认知运动控制的生物标记。
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.