• DocumentCode
    1353818
  • Title

    Variable Time-Delay Estimation for Anesthesia Control During Intensive Care

  • Author

    Ionescu, Clara M. ; Hodrea, Ramona ; De Keyser, Robin

  • Author_Institution
    Dept. of Electr. Energy, Syst. & Autom., Ghent Univ., Ghent, Belgium
  • Volume
    58
  • Issue
    2
  • fYear
    2011
  • Firstpage
    363
  • Lastpage
    369
  • Abstract
    The presence of artifacts plays a crucial role in automatic sedation systems and may introduce variable time delays (TDs) in the closed-loop-control structures. This paper presents a successful procedure to estimate the varying TD of the bispectral index (BIS) monitor used in closed-loop control during intensive care. The TD estimation (TDE) is based on the cross-correlation analysis technique and the method is validated with real measured signals of propofol and BIS. Extended prediction self-adaptive control is used in combination with a Smith predictor to reduce the computational burden imposed by the variable TD. The conclusion is that an online TDE of the BIS monitor improves the performance of the closed-loop system for reference tracking, disturbance rejection, and overall stability.
  • Keywords
    adaptive control; closed loop systems; correlation methods; drugs; medical control systems; patient care; Smith predictor; anesthesia control; automatic sedation systems; bispectral index; closed loop control structures; cross-correlation analysis; disturbance rejection; intensive care; overall stability; propofol; reference tracking; self-adaptive control; variable time-delay estimation; Biological system modeling; Correlation; Delay effects; Drugs; Estimation; Monitoring; Predictive models; Anesthesia control; cross-correlation analysis; dead-time compensation (DTC); intensive care unit; model-based predictive control (MPC); time-delay estimation (TDE); Aged; Algorithms; Anesthesia; Anesthetics, Intravenous; Computer Simulation; Consciousness Monitors; Drug Therapy, Computer-Assisted; Electroencephalography; Female; Humans; Intensive Care; Male; Middle Aged; Models, Statistical; Monitoring, Physiologic; Propofol; Reproducibility of Results; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2010.2088121
  • Filename
    5604663