Automatically detecting auditory P300 in several trials
来源期刊：中南大学学报(英文版)2015年第6期
论文作者：MO Shao-feng(莫少锋) 汤井田 CHEN Hong-bo(陈洪波)
文章页码：2201 - 2206
Key words：independent component analysis (ICA); auditory P300; fixed temporal pat1tern; several trials; event-related potentials
Abstract: A method was demonstrated based on Infomax independent component analysis (Infomax ICA) for automatically extracting auditory P300 signals within several trials. A signaling equilibrium algorithm was proposed to enhance the effectiveness of the Infomax ICA decomposition. After the mixed signal was decomposed by Infomax ICA, the independent component (IC) used in auditory P300 reconstruction was automatically chosen by using the standard deviation of the fixed temporal pattern. And the result of auditory P300 was reconstructed using the selected ICs. The experimental results show that the auditory P300 can be detected automatically within five trials. The Pearson correlation coefficient between the standard signal and the signal detected using the proposed method is significantly greater than that between the standard signal and the signal detected using the average method within five trials. The wave pattern result obtained using the proposed algorithm is better and more similar to the standard signal than that obtained by the average method for the same number of trials. Therefore, the proposed method can automatically detect the effective auditory P300 within several trials.
MO Shao-feng(莫少锋)1, TANG Jing-tian(汤井田)1, CHEN Hong-bo(陈洪波)2
(1. School of Geosci and Info-physics, Central South University, Changsha 410083, China
2. School of Life and Environmental Science, Guilin University of Electronic Technology,
Guilin 541004, China)
Abstract:A method was demonstrated based on Infomax independent component analysis (Infomax ICA) for automatically extracting auditory P300 signals within several trials. A signaling equilibrium algorithm was proposed to enhance the effectiveness of the Infomax ICA decomposition. After the mixed signal was decomposed by Infomax ICA, the independent component (IC) used in auditory P300 reconstruction was automatically chosen by using the standard deviation of the fixed temporal pattern. And the result of auditory P300 was reconstructed using the selected ICs. The experimental results show that the auditory P300 can be detected automatically within five trials. The Pearson correlation coefficient between the standard signal and the signal detected using the proposed method is significantly greater than that between the standard signal and the signal detected using the average method within five trials. The wave pattern result obtained using the proposed algorithm is better and more similar to the standard signal than that obtained by the average method for the same number of trials. Therefore, the proposed method can automatically detect the effective auditory P300 within several trials.
Key words:independent component analysis (ICA); auditory P300; fixed temporal pat1tern; several trials; event-related potentials
