Improvement in the performance of automated spike detection using dipole source features for artefact rejection
Improvement in the performance of automated spike detection using dipole source features for artefact rejection
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DOI：
10.1016/s1388-2457(02)00296-1
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发表时间：
2003-01-01
影响因子：
4.7
通讯作者：
Gotman, J
中科院分区：
文献类型：
--
作者：
Flanagan, D;Agarwal, R;Gotman, J
目的：我们评估了一种高效偶极子源算法的使用，通过识别由伪迹导致的误检测来提高自动尖峰检测的性能。
方法：从26名接受长时间脑电图（EEG）监测的患者中获取自动尖峰检测结果。6名患者的数据用于开发该方法，20名患者的数据用于测试该方法。为了提供一个评估结果的标准，在为所有事件计算偶极子模型之前，一名脑电图医师（EEGer）对所有自动检测结果进行了目视分类。然后将事件类别（由脑电图医师定义）与偶极子模型的特性相结合，并识别出区分尖峰和伪迹检测的特征。然后将所得方法应用于测试数据集。
结果：偶极子模型的剩余方差和离心率区分了伪迹和尖峰检测。还制定了一套单独的定义眨眼伪迹的规则。综合标准从测试数据集中平均去除了53.2%的伪迹。一些尖峰检测结果（4.3%）也丢失了。
结论：检测到的事件的偶极子源特征可用于区分伪迹和尖峰。该算法计算量小，可以在线实施。（C）2002爱思唯尔科学爱尔兰有限公司。保留所有权利。
Objective; We evaluated the use of an efficient dipole source algorithm to improve performance of automated spike detection by identifying false detections caused by artefacts.Methods: Automated spike detections were acquired from 26 patients undergoing prolonged electroencephalograph (EEG) monitoring. Data from 6 patients were used to develop the method and data from 20 patients were used to test the method, To provide a standard against which to evaluate the results, an electroencephalographer (EEGer) visually categorized all automated detections before the dipole models were calculated for all events. The event categories (as defined by the EEGer) were then combined with properties of the dipole model and features were identified that differentiated spike and artefact detections. The resulting method was then applied to the testing data set.Results: Residual variance and eccentricity of the dipole models differentiated artefact and spike detections. A separate set of rules defining eye blink artefact was also developed. The combined criteria removed a mean of 53.2% of artefact from the testing data set. Some spike detections (4.3%) were also lost.Conclusions: The features of the dipole source of a detected event can be used to differentiate artefacts from spikes. This algorithm is computationally light and could be implemented on-line. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.