TY - JOUR
T1 - Single-Trial Evoked Potential Estimation Using Iterative Principal Component Analysis
AU - Mowla, Md Rakibul
AU - Ng, Siew Cheok
AU - Zilany, Muhammad S.A.
AU - Paramesran, Raveendran
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/15
Y1 - 2016/9/15
N2 - 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 second-order 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%.
AB - 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 second-order 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%.
KW - blind source separation
KW - Evoked potentials
KW - principal component analysis
KW - single trials
UR - http://www.scopus.com/inward/record.url?scp=84984879039&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2016.2591582
DO - 10.1109/JSEN.2016.2591582
M3 - Article
AN - SCOPUS:84984879039
SN - 1530-437X
VL - 16
SP - 6955
EP - 6960
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 18
M1 - 7513451
ER -