Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:3714-3717. doi: 10.1109/EMBC48229.2022.9871505.
The driving drowsiness has been identified as one of the major causes of road traffic accidents, causing fatalities and permanent injuring. Drowsy drivers are prone to suddenly lose control of the car, mostly without any prior behavioral cue. The present study involved 19 participants in a simulated driving protocol, designed to induce mental drowsiness into the drivers. The objective of the study consisted in testing an innovative Electroencephalographic (EEG)-based index, the MDrow index, in detecting the driving drowsiness. Such an index, derived from parietal EEG channels, was already validated in our previous work achieving outstanding performance with respect to more conventional techniques. In this study, the possibility of obtaining a similar index from the frontal sites in order to foster its exploitation in real environments has been investigated. The results demonstrated the capability of the "frontal" MDrow index in evaluating the driving drowsiness experienced by the participants with performance comparable to that one previously validated over parietal sites. Also, the impact of the reduction of the electrodes number on index reliability has been investigated, in order to evaluate its compatibility with current wearable EEG devices.
驾驶困倦已被确定为道路交通事故的主要原因之一，导致人员死亡和永久性伤害。困倦的驾驶员很容易突然失去对汽车的控制，而且大多数情况下没有任何事先的行为提示。本研究涉及 19 名参与者的模拟驾驶协议，旨在诱导驾驶员产生精神困倦。研究的目的是测试一种创新的基于脑电图（EEG）的指数，即 MDrow 指数，以检测驾驶困倦。该指数源自顶叶 EEG 通道，在我们之前的工作中已经得到验证，与更传统的技术相比具有出色的性能。在这项研究中，研究了从额部站点获得类似指数的可能性，以促进其在实际环境中的应用。研究结果表明，“额部”MDrow 指数具有评估参与者经历的驾驶困倦的能力，其性能与之前在顶叶部位验证的指数相当。此外，还研究了减少电极数量对指数可靠性的影响，以评估其与当前可穿戴 EEG 设备的兼容性。
