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Combining Objective Response Detectors Using Genetic Programming

  • Leonardo Bonato FelixEmail author
  • Quenaz Bezerra Soares
  • Antonio Mauricio Ferreira Leite Miranda de Sá
  • David Martin Simpson
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 76)

Abstract

Many Objective Response Detectors (ORD) have been proposed based on ratios extracted from statistical methods. This work proposes a new approach to automatically generate ORD techniques, based on the combination of the existing ones by genetic programming. In this first study of this kind, the best ORD functions obtained with this approach were about 4% more sensitive than the best original ORD. It is concluded that genetic programming applied to create ORD functions has a potential to find non-obvious functions with better performances than established alternatives.

Keywords

Objective Response Detection Genetic programming Evoked responses 

Notes

Acknowledgements

This research was supported by the Brazilian agency CNPq, CAPES and FAPEMIG.

Conflict of Interest

The authors declare that they have no conflicts of interest.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Electrical EngineeringFederal University of ViçosaViçosaBrazil
  2. 2.Institute of Sound and Vibration Research, University of SouthamptonSouthamptonUK
  3. 3.Biomedical Engineering Program/COPPEFederal University of Rio de JaneiroRio de JaneiroBrazil

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