基于CSP的脑电心理任务时频功率特征提取与f -评分优化

Xinjie Wang, Lin Ma, Haifeng Li, M. Wu
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引用次数: 0

摘要

针对脑机接口(BCI)中的心理任务识别任务,提出了一种利用判别共同空间模式(CSP)的脑电图(EEG)特征提取方法。CSP分析在传统时域应用的基础上,扩展到考虑脑电信号的频域信息。通过独立分量分析(ICA)去除伪信号后,利用CSP分析将多通道脑电信号分解为一组空间模式,并计算对数频域和时域功率分布。在这些分布上提取时频功率特征,并采用F-score方法进行优化。与传统的CSP方法相比,该方法既保留了时域方差特征,又引入了频段功率特征。由于F-score易于快速计算,并且基于F-score的方法可以根据每个数据模式的重要性和判别能力,从高维数据中快速选择更有效的特征。在我们的方法中,F-score算法也被用于解决传统的CSP问题,如公共模式数的定义。在一个五任务认知状态分析问题上进行了测试,识别准确率达到89.4%,充分证明了该方法的有效性和通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSP Based Extraction and F-Score Based Optimization of Time-Frequency Power Features for EEG Mental Task Classification
Aiming the mental tasks recognition tasks in brain computer interface (BCI), this paper proposes an Electroencephalography (EEG) feature extraction method which makes use of the discriminative common spatial patterns (CSP). Apart from CSP analysis's traditional application in time domain, it is extended to consider frequency domain information of EEG signal. After an artifact removal through the independent component analysis (ICA), the multichannel EEG signals are decomposed into a set of spatial patterns by CSP analysis, and the logarithmic frequency domain and time domain power distributions are calculated. Time-frequency power features are extracted on these distributions and optimized by a F-score method. Comparing with the traditional CSP methods, the proposed method not only retained the time domain variance features, but also induced the frequency band power features. Since F-score is easy and fast to calculate, and the F-score based method can quickly select more effective features from high dimensional data, depending on the importance and the discriminative ability of each data pattern. In our method, the F-score algorithm is also used to solve the traditional CSP problems such as the definition of common pattern number. The proposed method was tested on a five-task cognitive state analysis problem, and a recognition accuracy of 89.4% was achieved, that well approved the effectiveness and versatility of the proposed method.
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