Journal
IEEE SENSORS JOURNAL
Volume 16, Issue 18, Pages 6955-6960Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2016.2591582
Keywords
Evoked potentials; single trials; blind source separation; principal component analysis
Funding
- Universiti Malaya [RP016C/13AET]
- Ministry of Higher Education, Malaysia [UM.C/625/1/HIR/MOHE/ENG/42]
Ask authors/readers for more resources
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%.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available