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基于分类的单实验事件相关电位估计方法
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作者 黄志华 李明泓 +1 位作者 周昌乐 马原野 《中国科学:生命科学》 CSCD 北大核心 2012年第1期71-82,共12页
本文提出了一个基于机器学习的新方法,用以从单实验脑电信号中估计事件相关电位.为估计事件相关电位,首先构建了一个运用分类方法的基本框架和以此框架为基础的优化模型.在此基础上,引入logistic回归来实例化这个优化模型,并推导出Singl... 本文提出了一个基于机器学习的新方法,用以从单实验脑电信号中估计事件相关电位.为估计事件相关电位,首先构建了一个运用分类方法的基本框架和以此框架为基础的优化模型.在此基础上,引入logistic回归来实例化这个优化模型,并推导出SingleTrialEM算法.只要在使用之前训练得到一个logistic模型,SingleTrialEM算法就能够从单实验脑电信号中估计事件相关电位.模拟测试表明,本文的方法是正确稳定的,明显优于Woody过滤器方法.认知测试的结果与认知科学的各项结论一致. 展开更多
关键词 分类 时空信号模型 优化 LOGISTIC回归 singletrialem
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A classification-based method to estimate event-related potentials from single trial EEG 被引量:2
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作者 HUANG ZhiHua LI MingHong +1 位作者 ZHOU ChangLe MA YuanYe 《Science China(Life Sciences)》 SCIE CAS 2012年第1期57-67,共11页
A novel method based on machine learning is developed to estimate event-related potentials from single trial electroencephalography. This paper builds a basic framework using classification and an optimization model b... A novel method based on machine learning is developed to estimate event-related potentials from single trial electroencephalography. This paper builds a basic framework using classification and an optimization model based on this framework for estimating event-related potentials. Then the SingleTrialEM algorithm is derived by introducing a logistic regression model, which could be obtained by training before SingleTrialEM is used, to instantiate the optimization model. The simulation tests demonstrate that the proposed method is correct and solid. The advantage of this method is verified by the comparison between this method and the Woody filter in simulation tests. Also, the cognitive test results are consistent with the conclusions of cognitive science. 展开更多
关键词 CLASSIFICATION spatial-temporal signal model OPTIMIZATION logistic regression singletrialem
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