TY - JOUR A2 - Mangel, Stuart C. AU - Yu, Zhongliang AU - Li, Lili AU - Zhang, Wenwei AU - lu, Hangyuan AU - Liu, Yun AU - Khalique，Umair PY - 2021 DA - 2021/01/21 TI - An Adaptive EEG Feature Extraction Method Based on Stacked Denoising Autoencoder for Mental Fatigue Connectivity SP - 3965385 VL - 2021 AB - Mental Fatigue是由长时间的认知活动产生的一种常见的心理生物学状态。虽然，精神疲劳的表现和缺点已经众所周知，但它在大脑多区域之间的连通性还没有被彻底研究。这对于阐明精神疲劳机制是很重要的。然而，常用的基于脑电的连通性分析方法无法摆脱强噪声的干扰。提出了一种基于堆栈降噪自编码的自适应特征提取模型。分析了提取特征的信噪比。与主成分分析相比，该方法能显著提高信噪比，抑制噪声干扰。该方法已应用于心理疲劳连通性分析。在清醒、疲劳和睡眠剥夺条件下，额叶、运动区、顶叶和视觉区之间的因果连接已经被分析，并揭示了不同条件之间的连接模式。 The connectivity direction under awake condition and sleep deprivation condition is opposite. Moreover, there is a complex and bidirectional connectivity relationship, from the anterior areas to the posterior areas and from the posterior areas to the anterior areas, under fatigue condition. These results imply that there are different brain patterns on the three conditions. This study provides an effective method for EEG analysis. It may be favorable to disclose the underlying mechanism of mental fatigue by connectivity analysis. SN - 2090-5904 UR - https://doi.org/10.1155/2021/3965385 DO - 10.1155/2021/3965385 JF - Neural Plasticity PB - Hindawi KW - ER -