Analysis of Blood Flow Velocity and Pressure Signals using the Multipulse Method
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Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109
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Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695
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Department of Mathematics, North Carolina State University, Raleigh, NC 27695
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Received:
01 January 2006
Accepted:
29 June 2018
Published:
01 February 2006
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MSC :
92D30.
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This paper shows how the multipulse method
from digital signal processing can be used to accurately synthesize
signals obtained from blood pressure and blood flow velocity sensors during
posture change from sitting to standing. The
multipulse method can be used to analyze signals that are composed of
pulses of varying amplitudes. One of the advantages of the multipulse
method is that it is able to
produce an accurate and efficient representation of the signals
at high resolution.
The signals are represented as a set of input impulses passed through
an autoregressive (AR) filter. The parameters that define the AR filter
can be used to distinguish different conditions.
In addition, the AR coefficients can be
transformed to tube radii associated with digital wave guides, as well
as pole-zero representation. Analysis of the dynamics of the
model parameters have potential to provide better insight and understanding
of the underlying physiological control mechanisms. For example, our data
indicate that the tube radii may be related to the diameter of the
blood vessels.
Citation: Derek H. Justice, H. Joel Trussell, Mette S. Olufsen. Analysis of Blood Flow Velocity and Pressure Signals using the Multipulse Method[J]. Mathematical Biosciences and Engineering, 2006, 3(2): 419-440. doi: 10.3934/mbe.2006.3.419
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Abstract
This paper shows how the multipulse method
from digital signal processing can be used to accurately synthesize
signals obtained from blood pressure and blood flow velocity sensors during
posture change from sitting to standing. The
multipulse method can be used to analyze signals that are composed of
pulses of varying amplitudes. One of the advantages of the multipulse
method is that it is able to
produce an accurate and efficient representation of the signals
at high resolution.
The signals are represented as a set of input impulses passed through
an autoregressive (AR) filter. The parameters that define the AR filter
can be used to distinguish different conditions.
In addition, the AR coefficients can be
transformed to tube radii associated with digital wave guides, as well
as pole-zero representation. Analysis of the dynamics of the
model parameters have potential to provide better insight and understanding
of the underlying physiological control mechanisms. For example, our data
indicate that the tube radii may be related to the diameter of the
blood vessels.
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