Automatic multimodal detection for long-term seizure documentation in epilepsy
Automatic multimodal detection for long-term seizure documentation in epilepsy
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DOI：
10.1016/j.clinph.2017.05.013
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发表时间：
2017-08-01
影响因子：
4.7
通讯作者：
Baumgartner, C.
中科院分区：
文献类型：
--
作者：
Fuerbass, F.;Kampusch, S.;Baumgartner, C.
目的：本研究探讨了多模态自动癫痫发作检测算法的灵敏度和误检率，并减少电极蒙太奇的适用性，为长期癫痫patients.Methods的癫痫发作文档：一个自动癫痫发作检测算法的基础上，脑电图，肌电图和心电图信号的开发。使用来自两个癫痫监测单元的92名患者的EEG/ECG记录，包括494次发作，以评估检测性能。通过对脑电信号进行带通滤波提取肌电信号。每种信号形式和减少电极montages.Results的敏感性和错误检测率进行了评估：所有局灶性发作演变为双侧强直阵挛（BTCS，n = 50）和89%的局灶性发作（FS，n = 139）被检测到。颞叶癫痫（TLE）患者的平均敏感性为94%，颞叶外癫痫（XTLE）患者的平均敏感性为74%。总体检测灵敏度为86%。TLE患者24 h内平均误检率为12.8例（FD/24 h），XTLE患者24 h内平均误检率为22例（FD/ 24 h）。8个额叶和颞叶电极的使用使平均灵敏度从86%降低到81%.Conclusion：我们的自动多模式癫痫检测算法在完整和减少电极导联时显示出高灵敏度。(C)2017年国际临床神经生理学联合会。由Elsevier爱尔兰有限公司出版。保留所有权利。
Objective: This study investigated sensitivity and false detection rate of a multimodal automatic seizure detection algorithm and the applicability to reduced electrode montages for long-term seizure documentation in epilepsy patients.Methods: An automatic seizure detection algorithm based on EEG, EMG, and ECG signals was developed. EEG/ECG recordings of 92 patients from two epilepsy monitoring units including 494 seizures were used to assess detection performance. EMG data were extracted by bandpass filtering of EEG signals. Sensitivity and false detection rate were evaluated for each signal modality and for reduced electrode montages.Results: All focal seizures evolving to bilateral tonic-clonic (BTCS, n = 50) and 89% of focal seizures (FS, n = 139) were detected. Average sensitivity in temporal lobe epilepsy (TLE) patients was 94% and 74% in extratemporal lobe epilepsy (XTLE) patients. Overall detection sensitivity was 86%. Average false detection rate was 12.8 false detections in 24 h (FD/24 h) for TLE and 22 FD/ 24 h in XTLE patients. Utilization of 8 frontal and temporal electrodes reduced average sensitivity from 86% to 81%.Conclusion: Our automatic multimodal seizure detection algorithm shows high sensitivity with full and reduced electrode montages.Significance: Evaluation of different signal modalities and electrode montages paces the way for semiautomatic seizure documentation systems. (C) 2017 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.