Maskarinec G J, Trachtenberg E A, Onaral B
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104.
Ann Biomed Eng. 1989;17(3):233-51. doi: 10.1007/BF02368044.
A study of the use of visual evoked potentials to detect acceleration induced blackout is presented. Decisions concerning the presence or absence of the visual evoked potential within the measured EEG were made using detection and estimation-based approaches. The performance of each technique is evaluated in two ways: (a) via a performance index (PI) which is introduced in this work, and (b) by the accuracy of pure detection. Variations of the main processing techniques such as output averaging and decision thresholding were also investigated.
本文介绍了一项关于使用视觉诱发电位检测加速度诱导性黑视的研究。通过基于检测和估计的方法，对测量的脑电图中视觉诱发电位的有无进行判定。每种技术的性能通过两种方式进行评估：(a) 通过本文引入的性能指标(PI)，以及(b) 通过纯检测的准确性。还研究了诸如输出平均和决策阈值设定等主要处理技术的变化情况。
