Segmentación automática de señales neurofisiológicas utilizando métodos basados en wavelets


Authors

  • Alvaro A. Orozco
  • Cristian Guarnizo
  • Julian D. Echeverri

Abstract

Las señales bioeléctricas contienen artefactos de una gran variedad de fuentes que traen consigo incertidumbre en las técnicas de procesamiento de señales y que requieren segmentos estacionarios de la señal para su análisis. En el presente artículo se desarrolla un algoritmo de segmentación basado en wavelets. Las pruebas desarrolladas sobre las bases de datos de pacientes parkinsonianos en las zonas de tálamo y subtálamo dan como resultado que la metodología propuesta permite segmentar de manera apropiada dichas señales..

Downloads

Download data is not yet available.

Downloads

Published

2006-01-12

How to Cite

Orozco, A. A., Guarnizo, C., & Echeverri, J. D. (2006). Segmentación automática de señales neurofisiológicas utilizando métodos basados en wavelets. Scientia Et Technica, 3(32). Retrieved from https://ojs2.utp.edu.co/index.php/revistaciencia/article/view/6217

Issue

Vol. 3 No. 32 (2006)

Section

Eléctrica

License

Copyright (c) 2017 Scientia et technica

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyrights

The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:

In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.

The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright.  Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.