Title :
A novel statistical model for simulation of arterial and intracranial pressure
Author :
Aboy, M. ; McNames, J. ; Hornero, R. ; Thong, T. ; Cuesta, D. ; Novak, D. ; Goldstein, B.
Author_Institution :
Biomedical Signal Process. Laboratory, Electr. & Comput. Eng., Portland State Univ., OR, USA
Abstract :
We describe a novel statistical model of pressure signals that incorporates the effects of respiration on arterial (ABP) and intracranial pressure (ICP). This model can be used to synthesize pulsatile ABP and ICP signals with similar time, frequency, and variability characteristics of real pressure signals. These synthetic signals can be used during the development, simulation, or quantitative assessment of biomedical algorithms in a variety of applications.
Keywords :
blood pressure measurement; blood vessels; medical signal processing; physiological models; pneumodynamics; pulsatile flow; intracranial pressure; pulsatile arterial pressure; respiration; statistical model; Amplitude modulation; Availability; Biomedical engineering; Cranial pressure; Detection algorithms; Parameter estimation; Pulse modulation; Signal processing; Signal processing algorithms; Testing; ABP modeling; ICP modeling; pressure signal simulators; respiratory changes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403108
