Real-time analysis of EEG indexes of alertness, cognition, and memory acquired with a wireless EEG headset
Real-time analysis of EEG indexes of alertness, cognition, and memory acquired with a wireless EEG headset
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DOI：
10.1207/s15327590ijhc1702_3
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发表时间：
2004-01-01
影响因子：
4.7
通讯作者：
Olmstead, R
中科院分区：
文献类型：
--
作者：
Berka, C;Levendowski, DJ;Olmstead, R
将大脑监测集成到人机界面中，对于实时评估操作员状态和在机器和人类之间智能分配任务具有很大的希望。本文提出了一种集成的硬件和软件解决方案，用于采集和实时分析脑电图（EEG），以监测警觉性，认知和记忆指标。三个实验范式进行了评估，共45名参与者，以确定与认知工作量的变化相关的EEG指标：军舰指挥官任务（WCT），模拟海军指挥和控制环境，允许工作量水平进行系统操作;认知任务，三个层次的难度和一致的感觉输入和运动输出;和一个多会话。图像学习和再认知记忆测验。在任务和参与者中，EEG的特定变化被确定为与认知工作负荷水平可靠相关。EEG指标也显示出作为WCT和学习记忆任务训练的函数而改变。该系统在军事和工业环境中增强认知的未来应用进行了讨论。
The integration of brain monitoring into the man-machine interface holds great promise for real-time assessment of operator status and intelligent allocation of tasks between machines and humans. This article presents an integrated hardware and software solution for acquisition and real-time analysis of the electroencephalogram (EEG) to monitor indexes of alertness, cognition, and memory. Three experimental paradigms were evaluated in a total of 45 participants to identify EEG indexes associated with changes in cognitive workload: the Warship Commander Task (WCT), a simulated navy command and control environment that allowed workload levels to be systematically manipulated; a cognitive task with three levels of difficulty and consistent sensory inputs and motor outputs; and a multisession. image learning and reccognition memory test. Across tasks and participants, specific changes in the EEG were identified that were reliably associated with levels of cognitive workload. The EEG indexes were also shown to change as a function of training on the WCT and the learning and memory task. Future applications of the system to augment cognition in military and industrial environments are discussed.