• DocumentCode
    1310166
  • Title

    Multivariate dynamic analysis of cerebral blood flow regulation in humans

  • Author

    Panerai, Ronney B. ; Simpson, David M. ; Deverson, Stephanie T. ; Mahony, Peter ; Hayes, Paul ; Evans, David H.

  • Author_Institution
    Div. of Med. Phys., Leicester Univ., UK
  • Volume
    47
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    419
  • Lastpage
    423
  • Abstract
    The contributions of beat-to-beat changes in mean arterial blood pressure (MABP) and breath-by-breath fluctuations in end-tidal CO 2 (EtCO 2) as determinants of the spontaneous variability of cerebral blood flow velocity (CBFV) were studied in 16 normal subjects at rest. The two input variables (MABP and EtCO 2) had significant cross-correlations with CBFV but not between them. Transfer functions were estimated as the multivariate least mean square finite impulse response causal filters. MABP showed a very significant effect in explaining CBFV variability (p<10 -11, Fisher´s aggregated-p test) and the model mean square error was significantly reduced (p<0.001) by also including the contribution EtCO 2. The estimated mean CBFV step response to MABP displayed the characteristic return to baseline caused by the cerebral autoregulatory response. The corresponding response to EtCO 2 showed a gradual rise taking approximately 10 s to reach a plateau of 2.5%/mmHg. This study demonstrated that spontaneous fluctuations in EtCO 2 can help to explain the CBFV variability at rest if appropriate signal processing techniques are employed to address the limited power and bandwidth of the breath-by-breath EtCO 2 signal.
  • Keywords
    biocontrol; blood flow measurement; brain; flow control; medical signal processing; 10 s; CO/sub 2/; Fisher´s aggregated-p test; beat-to-beat changes; breath-by-breath EtCO/sub 2/ signal; breath-by-breath fluctuations; cerebral blood flow regulation; cerebral blood flow velocity; end-tidal CO/sub 2/; humans; input variables; limited bandwidth; limited power; mean arterial blood pressure; mean square finite impulse response causal filters; model mean square error; multivariate dynamic analysis; normal subjects; spontaneous variability; transfer functions; Arterial blood pressure; Blood flow; Finite impulse response filter; Fluctuations; Humans; Input variables; Mean square error methods; Signal processing; Testing; Transfer functions; Adult; Blood Pressure; Calibration; Carbon Dioxide; Cerebrovascular Circulation; Fourier Analysis; Humans; Laser-Doppler Flowmetry; Middle Aged; Models, Biological; Monte Carlo Method; Reference Values; Signal Processing, Computer-Assisted; Tidal Volume;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.827312
  • Filename
    827312