Parametric algorithm for the automatic detection of artifacts in electroencephalography.

Authors

  • C. Muñoz Gamboa Universidad autónoma metropolitana
  • E. Saldivar Salazar Universidad autónoma metropolitana

Abstract

 

The demonstration of the effectiveness of a detector algorithm of the artifacts that take place during the acquisition of the electroencephalogram (EEG) is presented. The algorithm is based on the separation of signals in two different regions of a parametric space, using a model that distinguishes non-polluting signals from those that contain artifacts. The advantages of the algorithm can detect and recognize the artifacts in real time, at the same time as they diagnose acquisition errors.

Downloads

Download data is not yet available.

Published

1989-10-15

How to Cite

Muñoz Gamboa, C., & Saldivar Salazar, E. (1989). Parametric algorithm for the automatic detection of artifacts in electroencephalography. Revista Mexicana De Ingenieria Biomedica, 10(1), 9. Retrieved from http://rmib.com.mx/index.php/rmib/article/view/690

Issue

Section

Research Articles

Dimensions Citation

Similar Articles

You may also start an advanced similarity search for this article.