Kirkup L, Searle A, Craig A, McIsaac P, Larsen G
Department of Applied Physics, University of Technology, Sydney, Australia.
Physiol Meas. 1998 May;19(2):213-24. doi: 10.1088/0967-3334/19/2/009.
Recent work indicates that the variation in the occipital alpha wave component of the EEG spectrum, controlled through eye closure, can be used by an untrained person to effect reliable activation of electrical devices. Here we describe and compare three real-time strategies, based on analogue and digital signal processing methods, of detecting the onset of alpha wave synchronization during eye closure. The goal of this work is to establish a method which satisfies the condition of rapid detection of alpha wave enhancement, thereby allowing for the efficient activation of devices, while simultaneously registering few or no false positives due to the natural variation in the alpha signal with eyes open. This work, based on measurements on 15 subjects in the age range 12 to 40 years, indicates that renal-time analysis of the EEG power spectrum provides for rapid detection of the onset of alpha wave synchronization while maintaining low counts of false positives.
最近的研究表明，通过闭眼控制的脑电图频谱枕叶阿尔法波成分的变化，未经训练的人也可用于可靠激活电子设备。在此，我们描述并比较基于模拟和数字信号处理方法的三种实时策略，用于检测闭眼期间阿尔法波同步的起始。这项工作的目标是建立一种方法，满足快速检测阿尔法波增强的条件，从而实现设备的有效激活，同时在睁眼时阿尔法信号自然变化导致的误报极少或没有误报。基于对12至40岁15名受试者的测量，这项工作表明，脑电图功率谱的实时分析能够快速检测阿尔法波同步的起始，同时保持低误报率。
