Wavelets statistical denoising (WaSDe): individual evoked potential extraction by multi‐resolution wavelets decomposition and bootstrap-Reference-Cited by-同舟云学术

Wavelets statistical denoising (WaSDe): individual evoked potential extraction by multi‐resolution wavelets decomposition and bootstrap

Published:2019-05 Issue:3 Volume:13 Page:348-355
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Benchabane Besma¹^ORCID,Benkherrat Moncef²³,Burle Boris³,Vidal Franck³,Hasbroucq Thierry³,Djelel Salah⁴,Belmeguenai Aissa⁴

Affiliation:

1. LASABadji Mokhtar‐Annaba UniversityP.O. Box 1223000AnnabaAlgeria

2. ECAM‐EPMI13 bd de l'Hautil 95092Cergy‐Pontoise cedexFrance

3. Aix Marseille UnivCNRS, LNCMarseilleFrance

4. Department of ElectronicsUniversite 20 Aout de SkikdaSkikdaAlgeria

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2018.5389

Reference38 articles.

2. A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm

3. Failure to Detect Critical Auditory Alerts in the Cockpit

4. Effects of the audiovisual conflict on auditory early processes

5. Giraudet L. St‐Louis M.E. Causse M.: ‘Electrophysiological correlates of inattentional deafness: no hearing without listening’.Proc. HFES Europe Chapter Conf. Toulouse 2012 p.89

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