The CS algorithm: A novel method for high frequency oscillation detection in EEG.

The CS algorithm: A novel method for high frequency oscillation detection in EEG.
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DOI:
10.1016/j.jneumeth.2017.08.023
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发表时间:
2018-01-01
影响因子:
3
通讯作者:
Stead M
Stead M
中科院分区:
医学4区
文献类型:
--
作者:
Cimbálník J;Hewitt A;Worrell G;Stead M

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高频振荡(HFO)正在成为潜在的临床上重要的生物标志物,用于定位癫痫脑中的癫痫发作发生区域。然而,这些事件太频繁,并且发生的时间尺度太小,无法被人类审查者快速或可靠地识别。迄今为止发表的HFO检测算法的许多不足之处由这里提出的CS算法来解决。该算法采用了新的方法:1)归一化; 2)存储参数以模拟人类的专业知识; 3)区分高度局部化的振荡和过滤现象;以及4)定义检测到的事件的时间范围。接受者-操作者特征曲线表明,在大范围的检测器阈值上,假阳性率非常低,同时真阳性率也很高。对于事件边界,时间分辨率显示为+/−~5 ms。计算效率足以在临床环境中使用。该算法的性能直接比较两个建立的算法和。与所有已公布的算法的比较超出了这项工作的范围,但所有的功能进行了讨论。所有代码和示例数据集都是免费提供的。该算法被证明具有高灵敏度和特异性的HFO,是强大的常见形式的伪影在EEG中,并具有足够的性能用于临床环境。
High frequency oscillations (HFOs) are emerging as potentially clinically important biomarkers for localizing seizure generating regions in epileptic brain. These events, however, are too frequent, and occur on too small a time scale to be identified quickly or reliably by human reviewers. Many of the deficiencies of the HFO detection algorithms published to date are addressed by the CS algorithm presented here. The algorithm employs novel methods for: 1) normalization; 2) storage of parameters to model human expertise; 3) differentiating highly localized oscillations from filtering phenomena; and 4) defining temporal extents of detected events. Receiver-operator characteristic curves demonstrate very low false positive rates with concomitantly high true positive rates over a large range of detector thresholds. The temporal resolution is shown to be +/−~5 ms for event boundaries. Computational efficiency is sufficient for use in a clinical setting. The algorithm performance is directly compared to two established algorithms by and. Comparison with all published algorithms is beyond the scope of this work, but the features of all are discussed. All code and example data sets are freely available. The algorithm is shown to have high sensitivity and specificity for HFOs, be robust to common forms of artifact in EEG, and have performance adequate for use in a clinical setting.
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