NDLI: Denoising of single-trial event-related potentials using adaptive modelling

Content Provider	IET Digital Library
Author	Boudiaf, Mahmoud Benkherrat, Moncef Mansouri, Khaled
Abstract	In this study, the authors present a modelling method based on the adaptive linear combiner to denoise single-trial event-related potentials. The orthonormal Hermite basis functions act as inputs of the adaptive linear combiner. To estimate and to adjust the parameters of the adaptive filter, the authors use the variable step-size least mean square algorithm which is well suited to track rapid changes of non-stationary signals. The performance of the method is tested with simulated evoked potentials and with real visual event-related potentials. For simulated data, the adaptive Hermite model gave significant enhancement in latency and amplitude estimation as well as in the observation of single-trial event-related potentials, in comparison with wavelet techniques and with other models of adaptive filters. For the real data, the proposed method filters the ongoing electroencephalogram activity, thus allowing a better identification of single-trial visual event-related potentials. The results confirm that the Hermite adaptive linear combiner model provides a simple and fast tool that helps to study single-trial event-related potential responses.
Starting Page	846
Ending Page	853
Page Count	8
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 7, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0528
Journal	IET Signal Processing
Publisher Date	2017-05-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Adaptive Filter Parameter Adjustment Adaptive Modelling Amplitude Estimation Bioelectric Signal Biology And Medical Computing Digital Signal Processing Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalogram Activity Electroencephalography Filtering Method in Signal Processing Hermite Adaptive Linear Combiner Model Interpolation And Function Approximation Least Mean Squares Method Medical Signal Processing Nonstationary Signal Rapid Change Tracking Numerical Analysis Numerical Approximation And Analysis Orthonormal Hermite Basis Function Physiological Optics Physiological Vision Probability Theory Real Visual Event-related Potential Signal Denoising Simulated Evoked Enhancement Single-trial Event-related Potential Denoising Statistics Stochastic Linearised SCUC Variable Step-size Least Mean Square Algorithm Visual Evoked Potential
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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