Literature DB >> 23389239

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

Lingke Fan1, Glen Bush, Emmanuel Katsogridakis, David M Simpson, Robert Allen, John Potter, Anthony A Birch, Ronney B Panerai.   

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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Year:  2013        PMID: 23389239     DOI: 10.1007/s11517-013-1040-y

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  9 in total

1.  Multivariate dynamic analysis of cerebral blood flow regulation in humans.

Authors:  R B Panerai; D M Simpson; S T Deverson; P Mahony; P Hayes; D H Evans
Journal:  IEEE Trans Biomed Eng       Date:  2000-03       Impact factor: 4.538

Review 2.  European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement.

Authors:  Eoin O'Brien; Roland Asmar; Lawrie Beilin; Yutaka Imai; Jean-Michel Mallion; Giuseppe Mancia; Thomas Mengden; Martin Myers; Paul Padfield; Paolo Palatini; Gianfranco Parati; Thomas Pickering; Josep Redon; Jan Staessen; George Stergiou; Paolo Verdecchia
Journal:  J Hypertens       Date:  2003-05       Impact factor: 4.844

3.  Random perturbations of arterial blood pressure for the assessment of dynamic cerebral autoregulation.

Authors:  Emmanuel Katsogridakis; Glen Bush; Lingke Fan; Anthony A Birch; David M Simpson; Robert Allen; John F Potter; Ronney B Panerai
Journal:  Physiol Meas       Date:  2012-01-06       Impact factor: 2.833

4.  Tracking time-varying cerebral autoregulation in response to changes in respiratory PaCO2.

Authors:  Jia Liu; M David Simpson; Jingyu Yan; Robert Allen
Journal:  Physiol Meas       Date:  2010-08-18       Impact factor: 2.833

5.  Dynamics of the cerebral blood flow response to step changes in end-tidal PCO2 and PO2 in humans.

Authors:  M J Poulin; P J Liang; P A Robbins
Journal:  J Appl Physiol (1985)       Date:  1996-09

Review 6.  Assessment of cerebral pressure autoregulation in humans--a review of measurement methods.

Authors:  R B Panerai
Journal:  Physiol Meas       Date:  1998-08       Impact factor: 2.833

7.  A parametric approach to measuring cerebral blood flow autoregulation from spontaneous variations in blood pressure.

Authors:  D M Simpson; R B Panerai; D H Evans; A R Naylor
Journal:  Ann Biomed Eng       Date:  2001-01       Impact factor: 3.934

8.  Nonlinear modeling of the dynamic effects of arterial pressure and CO2 variations on cerebral blood flow in healthy humans.

Authors:  Georgios D Mitsis; Marc J Poulin; Peter A Robbins; Vasilis Z Marmarelis
Journal:  IEEE Trans Biomed Eng       Date:  2004-11       Impact factor: 4.538

9.  Asymmetric dynamic cerebral autoregulatory response to cyclic stimuli.

Authors:  Rune Aaslid; Martin Blaha; Gill Sviri; Colleen M Douville; David W Newell
Journal:  Stroke       Date:  2007-04-05       Impact factor: 7.914

  9 in total
  1 in total

Review 1.  The INfoMATAS project: Methods for assessing cerebral autoregulation in stroke.

Authors:  David M Simpson; Stephen J Payne; Ronney B Panerai
Journal:  J Cereb Blood Flow Metab       Date:  2021-07-19       Impact factor: 6.200

  1 in total

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