Wavelet Filter to Attenuate the Background Activity and High Frequencies in EEG Signals Applied in the Automatic Identification of Epileptiform Events

Autor:	Fernando Mendes de Azevedo, Roger Walz, Geovani R. Scolaro, Christine Fredel Boos
Rok vydání:	2013
Předmět:	Identification (information) medicine.diagnostic_test Computer science Speech recognition medicine Wavelet filter Creative commons Electroencephalography
Zdroj:	Practical Applications in Biomedical Engineering
Popis:	© 2012 Scolaro et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Wavelet Filter to Attenuate the Background Activity and High Frequencies in EEG Signals Applied in the Automatic Identification of Epileptiform Events
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a16f831e3542767d048c05e83886598 https://doi.org/10.5772/53585 Zobrazit plný text záznamu