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Erschienen in: Medical & Biological Engineering & Computing 6/2013

01.06.2013 | Original Article

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

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

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 6/2013

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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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Fußnoten
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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Metadaten
Titel
Adaptive feedback analysis and control of programmable stimuli for assessment of cerebrovascular function
verfasst von
Lingke Fan
Glen Bush
Emmanuel Katsogridakis
David M. Simpson
Robert Allen
John Potter
Anthony A. Birch
Ronney B. Panerai
Publikationsdatum
01.06.2013
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 6/2013
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-013-1040-y

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