Resumen

DAZA-SANTACOLOMA, Genaro; SUAREZ-CIFUENTES, Julio Fernando  y  CASTELLANOS-DOMINGUEZ, Germán. Biosignal data preprocessing: a voice pathology detection application. Ing. Investig. [online]. 2009, vol.29, n.3, pp.92-96. ISSN 0120-5609.

A methodology for biosignal data preprocessing is presented. Experiments were mainly carried out with voice signals for automatically detecting pathologies. The proposed methodology was structured on 3 elements: outlier detection, normality verification and distribution transformation. It improved classification performance if basic assumptions about data structure were met. This entailed a more accurate detection of voice pathologies and it reduced the computational complexity of classification algorithms. Classification performance improved by 15%.

Palabras clave : preprocessing; outlier, normality; Box-Cox; pattern recognition; classification; voice pathology.

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