Early Seizure Detection Using Neuronal Potential Similarity: A Generalized Low-Complexity and Robust Measure
Early Seizure Detection Using Neuronal Potential Similarity: A Generalized Low-Complexity and Robust Measure
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DOI：
10.1142/s0129065715500197
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发表时间：
2015-08-01
影响因子：
8
通讯作者：
Dourado, Antonio
中科院分区：
文献类型：
--
作者：
Bandarabadi, Mojtaba;Rasekhi, Jalil;Dourado, Antonio
提出了一种新的方法，使用神经元电位相似性（EEG）的两个颅内电极放置在病灶上的自动早期癫痫发作检测难治性部分性癫痫患者。通过对空间差分iEEG信号的频谱分析，得到了该方法的有效性测度。从两个特定的频带获得的的Δ T值之间的比率，然后调查作为一个强大的广义的措施，并揭示了宝贵的信息癫痫发作开始的趋势。基于阈值的分类器随后应用于所提出的措施，以生成警报。该方法的性能进行了评估，使用交叉验证的大型临床数据集，涉及183癫痫发作发作在1785小时的长期连续iEEG记录的11名患者。平均而言，结果显示出86.9%的高灵敏度（159/183），非常低的错误检测率（每天1.4），从电描记癫痫发作开始的平均检测潜伏期为13.1 s，而在临床发作之前的平均潜伏期为6.3 s。这些高性能的结果，特别是短的检测延迟，加上所提出的方法的非常低的计算成本，使其足以用于植入式闭环癫痫发作抑制系统。
A novel approach using neuronal potential similarity (NPS) of two intracranial electroencephalogram (iEEG) electrodes placed over the foci is proposed for automated early seizure detection in patients with refractory partial epilepsy. The NPS measure is obtained from the spectral analysis of space-differential iEEG signals. Ratio between the NPS values obtained from two specific frequency bands is then investigated as a robust generalized measure, and reveals invaluable information about seizure initiation trends. A threshold-based classifier is subsequently applied on the proposed measure to generate alarms. The performance of the method was evaluated using cross-validation on a large clinical dataset, involving 183 seizure onsets in 1785 h of long-term continuous iEEG recordings of 11 patients. On average, the results show a high sensitivity of 86.9% (159 out of 183), a very low false detection rate of 1.4 per day, and a mean detection latency of 13.1 s from electrographic seizure onsets, while in average preceding clinical onsets by 6.3 s. These high performance results, specifically the short detection latency, coupled with the very low computational cost of the proposed method make it adequate for using in implantable closed-loop seizure suppression systems.