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实际驾驶条件下与晕车相关的感觉区域脑电图活动的变化。

Changes in Electroencephalography Activity of Sensory Areas Linked to Car Sickness in Real Driving Conditions.

作者信息

Henry Eléonore H, Bougard Clément, Bourdin Christophe, Bringoux Lionel

机构信息

Stellantis, Centre Technique de Vélizy, Vélizy-Villacoublay, France.

Aix Marseille Univ, CNRS, ISM, Marseille, France.

出版信息

Front Hum Neurosci. 2022 Feb 8;15:809714. doi: 10.3389/fnhum.2021.809714. eCollection 2021.

Abstract

Car sickness is a major concern for car passengers, and with the development of autonomous vehicles, increasing numbers of car occupants are likely to be affected. Previous laboratory studies have used EEG measurements to better understand the cerebral changes linked to symptoms. However, the dynamics of motion in labs/simulators differ from those of a real car. This study sought to identify specific cerebral changes associated with the level of car sickness experienced in real driving conditions. Nine healthy volunteers participated as front passengers in a slalom session inducing lateral movements at very low frequency (0.2 Hz). They were continuously monitored via EEG recordings and subjectively rated their level of symptoms after each slalom, using a 5-point likert scale. Car-sickness symptoms evolved concomitantly with changes in theta and alpha power in the occipital and parietal areas. These changes may reflect altered sensory integration, as well as a possible influence of sleepiness mitigating symptoms.

摘要

晕车是乘车人主要关心的问题,随着自动驾驶汽车的发展,越来越多的车内乘客可能会受到影响。以往的实验室研究利用脑电图测量来更好地了解与症状相关的大脑变化。然而,实验室/模拟器中的运动动态与真实汽车不同。本研究旨在确定与实际驾驶条件下晕车程度相关的特定大脑变化。九名健康志愿者作为前排乘客参加了一个回转滑雪项目,该项目以极低频率(0.2赫兹)引起横向运动。通过脑电图记录对他们进行持续监测,并在每次回转滑雪后使用5点李克特量表对他们的症状程度进行主观评分。晕车症状的演变与枕叶和顶叶区域的θ波和α波功率变化同步。这些变化可能反映了感觉整合的改变,以及困倦对症状的缓解可能产生的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a509/8862765/0bbe0545b95b/fnhum-15-809714-g001.jpg

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