Xuan Qi, Wu Jinxiao, Shen Jianjun, Ji Xiangyang, Lyu Yongqiang, Zhang Yu
Institute of Education, Tsinghua University, Beijing, China.
Department of Automation, Tsinghua University, Beijing, China.
Cogn Neurodyn. 2020 Oct;14(5):709-721. doi: 10.1007/s11571-020-09617-2. Epub 2020 Jul 14.
Compared to cardiac parameters and skin conductivities, the photoplethysmogram (PPG) recorded at fingertips and other parts near to peripheral nerve ends have been recently revealed to be yet another sensitive measure for cognitive load assessment. However, there is so far no research on measuring adolescents' cognitive load using physiological signals. A comprehensive study on the effects of PPG morphometrics over a cohort covering both adolescent and adult students is also absent. In this study, we analyze the morphological features of PPG on cognitive load assessment and compare them between adolescent and adult students. Experiments on two-level arithmetic tasks show that the PPG morphometrics reached the same level of significance on the effect of task difficulty/period as heart rate, and different morphological behaviors were also shown between adolescent and adult students during the cognitive task effects, which may imply their physiological differences across age. Physiological signals recorded by wearable devices are also found to be effective in measuring cognitive load.
与心脏参数和皮肤电导率相比,最近研究发现,在指尖及靠近外周神经末梢的其他部位记录的光电容积脉搏波图(PPG)是认知负荷评估的另一种敏感指标。然而,目前尚无利用生理信号测量青少年认知负荷的研究。此外,也缺乏一项针对青少年和成年学生群体全面研究PPG形态计量学影响的研究。在本研究中,我们分析了PPG形态特征对认知负荷评估的影响,并对青少年和成年学生进行了比较。在两级算术任务上的实验表明,PPG形态计量学在任务难度/时段影响方面与心率达到了相同的显著水平,并且在认知任务影响期间,青少年和成年学生之间也表现出不同的形态行为,这可能暗示了他们在不同年龄段的生理差异。研究还发现,可穿戴设备记录的生理信号在测量认知负荷方面同样有效。