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	Fast extraction of mismatch negativity based on independent component analysis
	Ding Haiyan ; Ye Datian
	2010-05-11 ; 2010-05-11
关键词	Practical Theoretical or Mathematical/ auditory evoked potentials cognition electroencephalography independent component analysis medical signal processing/ mismatch negativity detection mismatch negativity extraction independent component analysis auditory evoked potentials sensory stimuli signal-to-noise ratio EEG cognitive neural science clinical practice/ A8730C Electrical activity in neurophysiological processes A8734B Auditory effects of noise A8770F Electrodiagnostics A0250 Probability theory, stochastic processes, and statistics B7510D Bioelectric signals B6140M Signal detection B0240Z Other topics in statistics
中文摘要	Mismatch negativity (MMN) refers to auditory evoked potentials (AEP) responding to changes in sensory stimuli. MMN detection and extraction are very difficult due to the extremely poor signal-to-noise ratio (SNR). This paper describes an extraction method based on the multi-decomposition of multi-channel auditory evoked potentials by independent component analysis (ICA). The signal characteristics and the physical generation mechanism of MMN were used to design independent component selection principles for MMN extraction. The simulation result shows that the method greatly improves the SNR. In actual EEG data set processing, the method can extract the MMN component in about 20% of the traditional experimental time. The method will promote the application of MMN both in cognitive neural science and clinical practice.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/27709]
专题	清华大学
推荐引用方式 GB/T 7714	Ding Haiyan,Ye Datian. Fast extraction of mismatch negativity based on independent component analysis[J],2010, 2010.
APA	Ding Haiyan,&Ye Datian.(2010).Fast extraction of mismatch negativity based on independent component analysis..
MLA	Ding Haiyan,et al."Fast extraction of mismatch negativity based on independent component analysis".(2010).

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