期刊
IEEE SENSORS JOURNAL
卷 16, 期 18, 页码 6955-6960出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2016.2591582
关键词
Evoked potentials; single trials; blind source separation; principal component analysis
资金
- Universiti Malaya [RP016C/13AET]
- Ministry of Higher Education, Malaysia [UM.C/625/1/HIR/MOHE/ENG/42]
In this paper, we have presented an iterative principal component analysis ( PCA) method to obtain single trial evoked potential. The performance of the iterative PCA has been compared with the performance of other iterative component analysis methods, such as independent component analysis, canonical correlation analysis ( CCA), and the secondorder blind identification, using simulated data at different signal-to-noise ratios as well as actual recordings of visual evoked potentials. In both the simulated and real cases, iterative PCA and CCA perform better than the other methods to estimate the amplitudes. In the estimated trials of the proposed method, the latency of the evoked potentials lies between +/-4 ms range of true latency in about 90% of the case; but for other methods, this percentage is around 60%.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据