Evaluating dynamic changes of driver's awakening level by grouped /spl alpha/ waves

Evaluating dynamic changes of driver's awakening level by grouped /spl alpha/ waves
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通过分组/spl alpha/波评估驾驶员觉醒水平的动态变化

DOI:
10.1109/iembs.1994.415451
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发表时间:
1994
期刊:
Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
H. Ide
H. Ide
中科院分区:
--
文献类型:
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作者:
Chieko Fukuda;M. Funada;S. Ninomija;Y. Yazu;N. Daimon;S. Suzuki;H. Ide

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描述使用具有特殊权重因子(例如移动平均方法)的卷积自动检测脑电图分组/spl alpha/波的系统。人类觉醒水平的下降与分组/spl alpha/波的出现有密切关系。那么利用该系统,就可以检测驾驶员的低觉醒状态,并防止由此引起的交通事故。该系统有两个要点。首先,由于实际数据包含各种噪声,因此该系统将分组的 /spl alpha/ 波与这些噪声分开。其次,一旦分组的 /spl alpha/ 波出现,系统就会检测到这种情况。作为对驾驶汽车期间采集的实际脑电图的分析结果,我们发现分组/spl α/波出现的间隔波动。
Describes the system of automatically detecting grouped /spl alpha/ waves of EEGs using a convolution with special weighting factors such as moving average methods. A drop of human awakening level has a close relation to appearances of grouped /spl alpha/ waves. Then using this system, it is possible to detect driver's low awakening condition and prevent traffic accidents caused by this condition. The system has two important points. The first, because actual data contain various kinds of noise, this system separates grouped /spl alpha/ waves from those. The second, the system detects this condition as soon as grouped /spl alpha/ waves appear. As the result of analyzing actual EEGs taken during driving a car, we find out the fact that intervals of grouped /spl alpha/ waves appearance fluctuate.