Khazaei Saman, Amin Md Rafiul, Tahir Maryam, Faghih Rose T
Department of Biomedical EngineeringNew York University New York NY 10010 USA.
Department of Electrical and Computer EngineeringUniversity of Houston Houston TX 77004 USA.
IEEE Open J Eng Med Biol. 2024 Mar 18;5:627-636. doi: 10.1109/OJEMB.2024.3377923. eCollection 2024.
Poor arousal management may lead to reduced cognitive performance. Specifying a model and decoder to infer the cognitive arousal and performance contributes to arousal regulation via non-invasive actuators such as music. We employ a Bayesian filtering approach within an expectation-maximization framework to track the hidden states during the [Formula: see text]-back task in the presence of calming and exciting music. We decode the arousal and performance states from the skin conductance and behavioral signals, respectively. We derive an arousal-performance model based on the Yerkes-Dodson law. We design a performance-based arousal decoder by considering the corresponding performance and skin conductance as the observation. The quantified arousal and performance are presented. The existence of Yerkes-Dodson law can be interpreted from the arousal-performance relationship. Findings display higher matrices of performance within the exciting music. The performance-based arousal decoder has a better agreement with the Yerkes-Dodson law. Our study can be implemented in designing non-invasive closed-loop systems.
不良的唤醒管理可能会导致认知表现下降。指定一个模型和解码器来推断认知唤醒和表现，有助于通过音乐等非侵入性执行器进行唤醒调节。我们在期望最大化框架内采用贝叶斯滤波方法，在有舒缓和激昂音乐的情况下跟踪[公式：见正文]回溯任务中的隐藏状态。我们分别从皮肤电导率和行为信号中解码唤醒和表现状态。我们基于耶基斯-多德森定律推导了一个唤醒-表现模型。我们通过将相应的表现和皮肤电导率作为观测值来设计一个基于表现的唤醒解码器。给出了量化的唤醒和表现。耶基斯-多德森定律的存在可以从唤醒-表现关系中得到解释。研究结果显示在激昂音乐中表现的矩阵更高。基于表现的唤醒解码器与耶基斯-多德森定律有更好的一致性。我们的研究可用于设计非侵入性闭环系统。
