Detecting short-time events in EEG using series bank and similarity techniques

Authors

  • Emerson L. de Santa-Helena Departamento de Física, Universidade Federal de Sergipe
  • Suzana V. Schönwald Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul
  • Karina C. da Motta Dall’Agno Departamento de Física e Química da Universidade de Caxias do Sul
  • Roberto R. Rossato
  • José L. Rybarczyk Filho Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul
  • Márcia L. F. Chaves Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul
  • Günther J. L. Gerhardt Departamento de Física e Química da Universidade de Caxias do Sul

Keywords:

Time Series, Matching Pursuit, EEG, sleep spindles.

Abstract

In this study we used similarity Techniques in the time-frequency plane for identification of sleep spindles (SS) and K complexes (KK). We used a Gabor transform on a representative sleep sample from 9 normal subjects. The results show a correlation between the expert / method, being possible to calculate sensitivity and specificity for the method. This result shows that the methodology lies on the same levels of time-frequency classical techniques. Here the advantage is that this technique has a wide band application. The test runned with K-complex is illustrative.

Author Biography

Roberto R. Rossato

Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul

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How to Cite

de Santa-Helena, E. L., Schönwald, S. V., Dall’Agno, K. C. da M., Rossato, R. R., Rybarczyk Filho, J. L., Chaves, M. L. F., & Gerhardt, G. J. L. (2011). Detecting short-time events in EEG using series bank and similarity techniques. Scientia Plena, 5(10). Retrieved from https://scientiaplena.emnuvens.com.br/sp/article/view/648

Issue

Vol. 5 No. 10 (2009): October/Outubro 2009

Section

Articles

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