| Issue |
E3S Web Conf.
Volume 170, 2020
6th International Conference on Energy and City of the Future (EVF’2019)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 4 | |
| Section | Factories of Future | |
| DOI | https://doi.org/10.1051/e3sconf/202017002005 | |
| Published online | 28 May 2020 | |
Statistical Method to Extract Evoked Potentials from Noise
1 LASA, Badji M okhtar-Annaba University, Algeria
2 ECAM-EPM I, 13 Boulevard de l’Hautil, Cergy-Pontoise, France
3 Université 20 août 1955, Skikda, Algeria
* Corresponding author: m.benkherrat@ecam-epmi.com
Evoked Potentials are induced by visual or auditory stimulation. The Evoked Potentials represent transient electrical activities of some limited brain regions. The signal-noise ratio (SNR) of the EPs is typically around -10 dB. In order to study brain activities related to information processing in the brain, one has to “extract” the single EPs from the noise. We propose a method does not require a priori information concerning the characteristics (time, frequency) of the signal and does not use a template. The method proposed in this work use the wavelet transform associated with a statistical test.
© The Authors, published by EDP Sciences, 2020
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