IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Human Cognition and Behavioral Science and Technology
Enhancing Event-Related Potentials Based on Maximum a Posteriori Estimation with a Spatial Correlation Prior
Hayato MAKITomoki TODASakriani SAKTIGraham NEUBIGSatoshi NAKAMURA
Author information

2016 Volume E99.D Issue 6 Pages 1437-1446


In this paper a new method for noise removal from single-trial event-related potentials recorded with a multi-channel electroencephalogram is addressed. An observed signal is separated into multiple signals with a multi-channel Wiener filter whose coefficients are estimated based on parameter estimation of a probabilistic generative model that locally models the amplitude of each separated signal in the time-frequency domain. Effectiveness of using prior information about covariance matrices to estimate model parameters and frequency dependent covariance matrices were shown through an experiment with a simulated event-related potential data set.

Content from these authors
© 2016 The Institute of Electronics, Information and Communication Engineers
Previous article Next article