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Adaptive feedback analysis and control of programmable stimuli for assessment of cerebrovascular function

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An Erratum to this article was published on 09 March 2013

Abstract

The assessment of cerebrovascular regulatory mechanisms often requires flexibly controlled and precisely timed changes in arterial blood pressure (ABP) and/or inspired CO2. In this study, a new system for inducing variations in mean ABP was designed, implemented and tested using programmable sequences and programmable controls to induce pressure changes through bilateral thigh cuffs. The system is also integrated with a computer-controlled switch to select air or a CO2/air mixture to be provided via a face mask. Adaptive feedback control of a pressure generator was required to meet stringent specifications for fast changes, and accuracy in timing and pressure levels applied by the thigh cuffs. The implemented system consists of a PC-based signal analysis/control unit, a pressure control unit and a CO2/air control unit. Initial evaluations were carried out to compare the cuff pressure control performances between adaptive and non-adaptive control configurations. Results show that the adaptive control method can reduce the mean error in sustaining target pressure by 99.57 % and reduce the transient time in pressure increases by 45.21 %. The system has proven a highly effective tool in ongoing research on brain blood flow control.

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Notes

  1. D. E. Hokanson, Inc., Bellevue, 12840 NE 21st Place, WA 98005 USA.

  2. Measurement Computing Corporation, Norton, MA 02766, USA.

  3. Data Translation GmbH, Im Weilerlen 10, 74321 Bietigheim-Bissingen, Germany.

  4. MathWorks, 3 Apple Hill Drive, Natick, MA, USA.

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Acknowledgments

The research described here has been supported by the UK EPSRC grant No. EP/G008787/1. The authors sincerely thank Mike Squires and Milan Drca, for their help implementing the pressure and CO2 controllers.

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Authors and Affiliations

  1. Department of Medical Physics, University Hospitals of Leicester NHS Trust, Infirmary Square, Leicester, LE1 5WW, UK

    Lingke Fan & Glen Bush

  2. Institute of Sound and Vibration Research, University of Southampton, Southampton, S017 1BJ, UK

    David M. Simpson & Robert Allen

  3. Ageing and Stroke Medicine Section, University of East Anglia, Norwich, NR4 7TJ, UK

    John Potter

  4. Department of Cardiovascular Sciences, Medical Physics Unit (Sandringham Building, Leicester Royal Infirmary), University of Leicester, Leicester, LE1 5WW, UK

    Emmanuel Katsogridakis & Ronney B. Panerai

  5. Neurological Physics Group, Department of Medical Physics and Bioengineering, University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK

    Anthony A. Birch

Authors
  1. Lingke Fan
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  2. Glen Bush
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  3. Emmanuel Katsogridakis
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  4. David M. Simpson
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  5. Robert Allen
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  6. John Potter
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  7. Anthony A. Birch
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  8. Ronney B. Panerai
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Correspondence to Lingke Fan.

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Fan, L., Bush, G., Katsogridakis, E. et al. Adaptive feedback analysis and control of programmable stimuli for assessment of cerebrovascular function. Med Biol Eng Comput 51, 709–718 (2013). https://doi.org/10.1007/s11517-013-1040-y

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  • DOI: https://doi.org/10.1007/s11517-013-1040-y

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