Adaptive controller using fixed point transformation for regulating propofol administration through wavelet-based anesthetic value

Adrienn Dineva, J. Tar, A. Várkonyi-Kóczy, Vincenzo Piuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In recent years automated anesthesia has gained much interest. In this paper the applicability of the Fixed Point Transformation-based Adaptive Control design for automatic control of the depth of hypnosis during surgical operation has been investigated. The applied control design assumes the availability of the rough model of the dynamic system under control. The here presented technique regulates the WAVCNS index as the only measurable variable by controling the intravenous propofol administration. Simulation results validate that the proposed control design ensures promising performance and is able to cope with unexpected surgical stimulations and anesthetic interactions during surgical procedures.

Original languageEnglish
Title of host publication2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391726
DOIs
Publication statusPublished - Aug 4 2016
Event11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Benevento, Italy
Duration: May 15 2016May 18 2016

Other

Other11th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016
CountryItaly
CityBenevento
Period5/15/165/18/16

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Keywords

  • Anaesthesia Models
  • Fixed Point Transformation-based Adaptive Control
  • Propofol Administration
  • Wavelet-based index

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

Cite this

Dineva, A., Tar, J., Várkonyi-Kóczy, A., & Piuri, V. (2016). Adaptive controller using fixed point transformation for regulating propofol administration through wavelet-based anesthetic value. In 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings [7533813] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeMeA.2016.7533813