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.
Highlights
During posture change from sitting to standing, blood is pooled in the lower extremities as a result of increased gravitational potential
The decreased cardiac output causes a decrease in arterial blood pressure, which in turn may cause a decrease in cerebral blood flow
We show that the multipulse method from digital signal processing can be used to analyze the two signals independently
Summary
During posture change from sitting to standing, blood is pooled in the lower extremities as a result of increased gravitational potential. The parameters obtained from the method show definite differences between three groups of subjects: 1) healthy young subjects, 2) healthy elderly subjects, and 3) hypertensive elderly subjects Blood pressure from these subjects is recorded in the middle finger of the nondominant hand and the blood flow velocity is recorded in the left middle cerebral artery (MCA). One previous paper attempted to relate changes in pressure to changes in heart rate in order to study the regulation process during progressive lower body negative pressure This method describes the baroreflex function using an autoregressive-moving average (ARMA) approach [28]. It is hoped that it will lead to improved interpretation of vascular control mechanisms
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
