共空间模式(Common Spatial Pattern, CSP)是一种对两分类任务下的空域滤波特征提取算法,能够从多通道的脑机接口数据里面提取出每一类的空间分布成分。公共空间模式算法的基本原理是利用矩阵的对角化,找到一组最优空间滤波器进行投影,使得两类信号的方差值差异最大化,从而得到具有较高区分度的特征向量。 CSP的研究进展...
Common spatial pattern (CSP) [10], [11] is one of the most widely used and effective approaches, which converts the raw multi-channel EEG signals into more discriminative spatial patterns. It was initially proposed for binary classification, by designing spatial filters that maximize the variance...
1) common spatial patterns(CSP) 共空间模式 例句>> 2) public space pattern 公共空间模式 1. By this way thepublic space patternof the area are changed. 通过对上海"新天地"空间模式的深入分析,揭示了"新天地"在城市再开发过程中避免采用全面拆旧建新和原汁原味保护的方式而采用"第三条道路"的方式在上...
Common spatial patterns (CSPPhase-locking value (PLVSpatial filteringSteady-state visual evoked potential (SSVEPAnalytic common spatial patterns (ACSPPhase synchronization”-based common spatial patterns (P-CSPNumerous studies on EEG data indicate that various brain processes are characterized by phase ...
Spatial Filtering: Common Spatial Patterns The method of common spatial patterns (CSP) designs spatial filters in such a way that the variances in the filtered time series data are optimal (in the least squares sense) for discrimination (Koles, 1991; Müller-Gerking et al., 1999; Guger et ...
Common spatial pattern (CSP) is a widely used feature extraction method for EEG signal but with a lacking of failing to maintain discriminative features between classes in the time domain, and further as a consequence, ends up in inconvenience with erroneous output. To overcome the limitations of...
In the context of brain-computer interface (BCI) system, the common spatial patterns (CSP) method has been used to extract discriminative spatial filters f... M Cheng,Z Lu,H Wang - 《Cognitive Neurodynamics》 被引量: 11发表: 2016年 Age-related effects on EEG and Brain-computer Interface ...
The common spatial patterns (CSP) algorithm is often used in BCI. In this work we investigate how the CSP algorithm generalizes when using small training sets, how the performance changes over time, and how well CSP generalizes over persons. Our results indicate that the CSP algorithm severely ...
The results of both the simulation and real BCI datasets consistently reveal that the proposed method has much higher classification accuracies than the conventional CSP and the TR-CSP. Conclusions By combining L1 norm based Eigen decomposition into Common Spatial Patterns, the proposed approach can ...
As one of the most commonly used algorithms in the field of feature extraction, common spatial pattern (CSP) has a good effect on multichannel electroencephalogram (EEG) signal classification, especially for motor imagery-based signals. However, the formulation of the conventional CSP based on the ...