Mean Perfusion Pressure Estimation Using Hemodynamics Ohm's Law Towards Unobtrusive Mean Arterial Pressure Estimation

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology
• Medical Instrumentation

Background:

• Accurate estimation of mean perfusion pressure (MPP) is crucial for assessing cardiovascular health and guiding clinical decisions.
• Current methods for measuring arterial blood pressure often require invasive procedures or lack precision in dynamic physiological states.
• Non-invasive techniques for monitoring hemodynamic parameters are highly desirable in clinical practice.

Purpose of the Study:

• To propose and validate a novel, non-invasive approach for estimating mean perfusion pressure (MPP).
• To leverage pulsatile arterial blood pressure and flow waveforms for accurate hemodynamic assessment.
• To establish a theoretical foundation for unobtrusive absolute arterial blood pressure waveform generation.

Main Methods:

• Utilizing pulsatile arterial blood pressure and flow waveforms, measured non-invasively (e.g., via ultrasound).
• Estimating downstream vascular resistance by applying Ohm's law in hemodynamics during physiological beat-to-beat pressure variations.
• Calculating MPP by multiplying estimated vascular resistance with time-averaged flow.

Main Results:

• Numerical simulations of human arterial tree hemodynamics demonstrated the feasibility of the proposed approach.
• Validation using MGHDB records from PhysioNet showed a mean error of -0.1 mmHg and a standard deviation of 0.3 mmHg.
• The method successfully estimated mean perfusion pressure with high accuracy and minimal error.

Conclusions:

• The proposed method provides a reliable and non-invasive means to estimate mean perfusion pressure.
• This technique contributes to the development of unobtrusive absolute arterial blood pressure waveform monitoring.
• The findings support the theoretical background for advanced hemodynamic assessment without calibration.