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癫痫发作在临床表现之前的起始检测。

Epileptic seizure onset detection prior to clinical manifestation.

作者信息

Salam Muhammad Tariqus, Sawan Mohamad, Nguyen Dang Khoa

机构信息

Polystim Neurotechnologies Laboratory, École Polytechnique de Montréal, Québec, Canada.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6210-3. doi: 10.1109/IEMBS.2010.5627732.

DOI:10.1109/IEMBS.2010.5627732
PMID:21097161
Abstract

In this paper, we present the design of an epilepticseizure detector. This circuit is part of an implantable device used to continuously record intracerebral electroencephalographic signals through subdural and depth electrodes. The implemented seizure detector is based on a detection algorithm validated in Matlab tools and the circuits were implemented using CMOS 0.18-microm process. The proposed system was tested using intracerebral EEG recordings from two patients with drug-resistant epilepsy. Four seizures were assessed by the proposed CMOS building blocks and the required delays to detect these seizures were 3, 8, 11, and 11 sec, respectively after electric onset. The simulated total power consumption of the detector was 6.71 microW. Together, these preliminary results indicate the possibility of building implantable ultra-low power seizure-detection devices.

摘要

在本文中,我们展示了一种癫痫发作检测器的设计。该电路是可植入设备的一部分,用于通过硬膜下电极和深部电极连续记录脑内脑电图信号。所实现的癫痫发作检测器基于在Matlab工具中验证的检测算法,并且电路是使用CMOS 0.18微米工艺实现的。所提出的系统使用来自两名耐药性癫痫患者的脑内脑电图记录进行了测试。所提出的CMOS模块评估了四次癫痫发作,从电发作开始后检测到这些癫痫发作所需的延迟分别为3秒、8秒、11秒和11秒。检测器的模拟总功耗为6.71微瓦。这些初步结果共同表明了构建可植入超低功耗癫痫发作检测设备的可能性。

相似文献

1
Epileptic seizure onset detection prior to clinical manifestation.癫痫发作在临床表现之前的起始检测。
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6210-3. doi: 10.1109/IEMBS.2010.5627732.
2
A low-power high-sensitivity CMOS mixed-signal seizure-onset detector.一种低功耗高灵敏度CMOS混合信号癫痫发作起始检测器。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5847-50. doi: 10.1109/IEMBS.2011.6091446.
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IEEE Trans Biomed Circuits Syst. 2011 Dec;5(6):568-78. doi: 10.1109/TBCAS.2011.2157153.
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A fully-asynchronous low-power implantable seizure detector for self-triggering treatment.一种用于自触发治疗的全异步低功耗植入式癫痫发作检测器。
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A micropower support vector machine based seizure detection architecture for embedded medical devices.一种用于嵌入式医疗设备的基于微功率支持向量机的癫痫发作检测架构。
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An efficient detection of epileptic seizure by differentiation and spectral analysis of electroencephalograms.通过脑电图的差异分析和频谱分析对癫痫发作进行有效检测。
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Epileptic seizure detection in EEG signal with GModPCA and support vector machine.基于广义模态主成分分析(GModPCA)和支持向量机的脑电图(EEG)信号癫痫发作检测
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A novel fast epileptic seizure onset detection algorithm using general tensor discriminant analysis.一种基于广义张量判别分析的新型快速癫痫发作起始检测算法。
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Detecting epileptic seizures with electroencephalogram via a context-learning model.通过上下文学习模型利用脑电图检测癫痫发作
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引用本文的文献

1
Improving early seizure detection.提高早期癫痫发作检测率。
Epilepsy Behav. 2011 Dec;22 Suppl 1(Suppl 1):S44-8. doi: 10.1016/j.yebeh.2011.08.029.