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用于临床检查的脑电信号中交叉频率耦合的自动检测。

Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection.

作者信息

Miyakoshi Makoto, Delorme Arnaud, Mullen Tim, Kojima Katsuaki, Makeig Scott, Asano Eishi

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:3282-5. doi: 10.1109/EMBC.2013.6610242.

DOI:10.1109/EMBC.2013.6610242
PMID:24110429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4104944/
Abstract

We developed a toolbox for detecting high-frequency oscillations and evaluating cross-frequency phase-amplitude coupling in electrocorticographic (ECoG) data with optimal parameters. Here we demonstrate use of the toolbox using simulated and realistic ECoG data. The results confirmed its potential usefulness for clinical research or practice. The tools have been released as a Phase-Amplitude Coupling Toolbox (PACT) plug-in for EEGLAB, an open software environment for electrophysiological data analysis (sccn.ucsd.edu/eeglab).

摘要

我们开发了一个工具箱,用于在具有最佳参数的皮质脑电图(ECoG)数据中检测高频振荡并评估交叉频率相位-幅度耦合。在这里,我们使用模拟和实际的ECoG数据演示该工具箱的使用。结果证实了其在临床研究或实践中的潜在用途。这些工具已作为EEGLAB的相位-幅度耦合工具箱(PACT)插件发布,EEGLAB是一个用于电生理数据分析的开放软件环境(sccn.ucsd.edu/eeglab)。

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Filter effects and filter artifacts in the analysis of electrophysiological data.电生理数据分析中的滤波效应与滤波伪迹
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Role of subdural electrocorticography in prediction of long-term seizure outcome in epilepsy surgery.硬膜下皮质脑电图在癫痫手术长期癫痫发作预后预测中的作用
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