Joint spatial and spectral filter estimation for single trial detection of event related potentials
Machine Learning for Signal Processing（2013）
摘要
It is usually assumed that the main frequency components of ERPs are in some specific frequency bands. Therefore, predefined cutoff frequencies are used to filter the raw data in different applications. Here, an extension of the periodic spatial filter method is proposed that jointly learns spatial filters and the corresponding FIR filters to be used for single trial ERP detection. Experimental results confirm that the proposed spatio-spectral filtering method outperforms its predecessor spatial filter.
更多查看译文
关键词
FIR filters,bioelectric potentials,electroencephalography,medical signal processing,optical filters,spatial filters,ERP detection,FIR filters,electroencephalogram,event related potentials,frequency bands,frequency components,periodic spatial filter method,predefined cutoff frequencies,raw data filter,single trial detection,spatial filters,spatio-spectral filtering,spectral filter estimation,ERP detection,Electroencephalogram,periodic spatial filter,spatio-spectral filters
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要