Multiple sensor integration for seizure onset detection in human patients comparing conventional disc versus novel tripolar concentric ring electrodes.

Multiple sensor integration for seizure onset detection in human patients comparing conventional disc versus novel tripolar concentric ring electrodes.
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多传感器集成用于人类患者癫痫发作检测,比较传统圆盘电极与新型三极同心环电极。

DOI:
10.1109/embc.2013.6609426
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发表时间:
2013
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Besio,WalterG
Besio,WalterG
中科院分区:
--
文献类型:
--
作者:
Makeyev,Oleksandr;Ding,Quan;Martínez-Juárez,IrisE;Gaitanis,John;Kay,StevenM;Besio,WalterG

文献摘要

相似文献

由于癫痫影响世界人口的大约百分之一,大脑的电刺激最近显示出附加癫痫控制治疗的潜力。当自动检测到癫痫发作时施加电刺激的闭环系统需要基于电描记脑活动的自动癫痫发作检测的高精度。为了提高这种准确性,我们建议使用非侵入性三极同心环电极,已被证明具有显着更好的信噪比,空间选择性,和互信息相比,传统的圆盘电极。所提出的检测方法是基于集成的多个传感器使用指数嵌入式家庭(EEF)。在这项初步研究中,使用三极同心环和传统圆盘电极同时从7名癫痫患者(包括5次癫痫发作)中收集了超过26.3小时的数据,并对其进行了验证。对于基于交叉验证的组模型,EEF分别正确地检测到100%和80%的癫痫发作,对于两种电极模态,每小时分别具有<0.76和<1.56的假阳性检测。这些结果清楚地表明了基于三极同心环电极数据的癫痫发作检测的潜力。
As epilepsy affects approximately one percent of the world population, electrical stimulation of the brain has recently shown potential for additive seizure control therapy. Closed-loop systems that apply electrical stimulation when seizure onset is automatically detected require high accuracy of automatic seizure detection based on electrographic brain activity. To improve this accuracy we propose to use noninvasive tripolar concentric ring electrodes that have been shown to have significantly better signal-to-noise ratio, spatial selectivity, and mutual information compared to conventional disc electrodes. The proposed detection methodology is based on integration of multiple sensors using exponentially embedded family (EEF). In this preliminary study it is validated on over 26.3 hours of data collected using both tripolar concentric ring and conventional disc electrodes concurrently each from 7 human patients with epilepsy including five seizures. For a cross-validation based group model EEF correctly detected 100% and 80% of seizures respectively with <;0.76 and <;1.56 false positive detections per hour respectively for the two electrode modalities. These results clearly suggest the potential of seizure onset detection based on data from tripolar concentric ring electrodes.