Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment
Joint Authors
Yu, Nannan
Lu, Hanbing
Chen, Ying
Wu, Lingling
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Estimating single-trial evoked potentials (EPs) corrupted by the spontaneous electroencephalogram (EEG) can be regarded as signal denoising problem.
Sparse coding has significant success in signal denoising and EPs have been proven to have strong sparsity over an appropriate dictionary.
In sparse coding, the noise generally is considered to be a Gaussian random process.
However, some studies have shown that the background noise in EPs may present an impulsive characteristic which is far from Gaussian but suitable to be modeled by the α-stable distribution 1<α≤2.
Consequently, the performances of general sparse coding will degrade or even fail.
In view of this, we present a new sparse coding algorithm using p-norm optimization in single-trial EPs estimating.
The algorithm can track the underlying EPs corrupted by α-stable distribution noise, trial-by-trial, without the need to estimate the α value.
Simulations and experiments on human visual evoked potentials and event-related potentials are carried out to examine the performance of the proposed approach.
Experimental results show that the proposed method is effective in estimating single-trial EPs under impulsive noise environment.
American Psychological Association (APA)
Yu, Nannan& Chen, Ying& Wu, Lingling& Lu, Hanbing. 2018. Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130857
Modern Language Association (MLA)
Yu, Nannan…[et al.]. Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130857
American Medical Association (AMA)
Yu, Nannan& Chen, Ying& Wu, Lingling& Lu, Hanbing. Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130857