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Extraction of stationary components in biosignal discrimination

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3 Author(s)
Martinez-Vargas, J.D. ; Signal Process. & Recognition Group, Univ. Nac. de Colombia, Manizales, Colombia ; Cardenas-Pena, D. ; Castellanos-Dominguez, G.

Biosignal recordings are widely used in the medical environment to support the evaluation and the diagnosis of pathologies. Nevertheless, the main difficulty lies in the non-stationary behavior of the biosignals, difficulting the obtention of patterns characterizing the changes in physiological or pathological states. Thus, the obtention of the stationary and non-stationary components of a biosignal is still an open issue. This work proposes a methodology to detect time-homogeneities based on time-frequency analysis with aim to extract the non-stationary behavior of the biosignal. Results show an increase in the stationarity and in the distance between classes of the reconstructions from the enhanced time-frequency representations. The stationary components extracted with the proposed approach can be used to solve biosignal classification problems.

Published in:

Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE

Date of Conference:

Aug. 28 2012-Sept. 1 2012