Irmak Tugrul, Pool Daan M, Happee Riender
Cognitive Robotics Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, Leeghwaterstraat, The Netherlands.
Control and Simulation Section, Faculty of Aerospace Engineering, Delft University of Technology, Delft, Kluyverweg, The Netherlands.
Exp Brain Res. 2021 Feb;239(2):515-531. doi: 10.1007/s00221-020-05986-6. Epub 2020 Nov 29.
We investigated and modeled the temporal evolution of motion sickness in a highly dynamic sickening drive. Slalom maneuvers were performed in a passenger vehicle, resulting in lateral accelerations of 0.4 g at 0.2 Hz, to which participants were subjected as passengers for up to 30 min. Subjective motion sickness was recorded throughout the sickening drive using the MISC scale. In addition, physiological and postural responses were evaluated by recording head roll, galvanic skin response (GSR) and electrocardiography (ECG). Experiment 1 compared external vision (normal view through front and side car windows) to internal vision (obscured view through front and side windows). Experiment 2 tested hypersensitivity with a second exposure a few minutes after the first drive and tested repeatability of individuals' sickness responses by measuring these two exposures three times in three successive sessions. An adapted form of Oman's model of nausea was used to quantify sickness development, repeatability, and motion sickness hypersensitivity at an individual level. Internal vision was more sickening compared to external vision with a higher mean MISC (4.2 vs. 2.3), a higher MISC rate (0.59 vs. 0.10 min) and more dropouts (66% vs. 33%) for whom the experiment was terminated due to reaching a MISC level of 7 (moderate nausea). The adapted Oman model successfully captured the development of sickness, with a mean model error, including the decay during rest and hypersensitivity upon further exposure, of 11.3%. Importantly, we note that knowledge of an individuals' previous motion sickness response to sickening stimuli increases individual modeling accuracy by a factor of 2 when compared to group-based modeling, indicating individual repeatability. Head roll did not vary significantly with motion sickness. ECG varied slightly with motion sickness and time. GSR clearly varied with motion sickness, where the tonic and phasic GSR increased 42.5% and 90%, respectively, above baseline at high MISC levels, but GSR also increased in time independent of motion sickness, accompanied with substantial scatter.
我们在一次高度动态的致晕驾驶过程中,对晕动病的时间演变进行了研究并建立了模型。在一辆乘用车中进行了回转动作,产生了0.2赫兹下0.4克的横向加速度,参与者作为乘客在此环境下暴露长达30分钟。在整个致晕驾驶过程中,使用晕动病症状量表(MISC)记录主观晕动病情况。此外,通过记录头部侧倾、皮肤电反应(GSR)和心电图(ECG)来评估生理和姿势反应。实验1比较了外部视觉(通过汽车前窗和侧窗的正常视野)和内部视觉(通过前窗和侧窗的模糊视野)。实验2在第一次驾驶几分钟后进行第二次暴露测试超敏反应,并通过在三个连续阶段对这两次暴露进行三次测量来测试个体晕动病反应的可重复性。采用阿曼恶心模型的一种改进形式来量化个体水平上的晕动病发展、可重复性和晕动病超敏反应。与外部视觉相比,内部视觉更易引发晕动病,平均MISC得分更高(4.2对2.3),MISC上升速率更高(0.59对0.10分钟),因达到MISC水平7(中度恶心)而实验终止的退出者更多(66%对33%)。改进后的阿曼模型成功捕捉到了晕动病的发展,包括休息期间的衰减和再次暴露时的超敏反应在内,平均模型误差为11.3%。重要的是,我们注意到,与基于群体的建模相比,了解个体先前对致晕刺激的晕动病反应可使个体建模准确性提高两倍,这表明个体具有可重复性。头部侧倾随晕动病变化不显著。心电图随晕动病和时间略有变化。皮肤电反应明显随晕动病变化,在高MISC水平时,静息皮肤电反应和相位皮肤电反应分别比基线水平增加42.5%和90%,但皮肤电反应也会随时间增加,与晕动病无关,且存在大量离散度。