An Application of Fuzzy C-Regression Models to Characteristic Point Detection in Biomedical Signals

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 242)

Abstract

This work introduces a new fuzzy c-regression models with various loss functions. The algorithm consists in solving a sequence of weighted quadratic minimization problems where the weights used for the next iteration depend on values of models residuals for the current iteration. Simulations on real-life ECG signals are realized to evaluate the performance of the fuzzy clustering method.

Keywords

fuzzy clustering fuzzy c-regresion models biomedical signals 
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of Computer ScienceSilesian University of TechnologyGliwicePoland
  2. 2.Institute of Medical Technology and EquipmentZabrzePoland
  3. 3.Institute of ElectronicsSilesian University of TechnologyGliwicePoland

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