Computer simulation of blood flow in the human arm

Area of Science:

• Biomedical Engineering
• Computational Fluid Dynamics
• Medical Diagnostics

Background:

• Characterizing blood flow in human arteries is crucial for understanding cardiovascular health.
• Distinguishing normal from abnormal arterial conditions requires sensitive diagnostic tools.

Purpose of the Study:

• To develop and apply a finite element method (FEM) for analyzing blood flow in human arm arteries.
• To investigate the potential of pressure and flow waveforms as diagnostic indicators of abnormal heart conditions and arterial pathologies.

Main Methods:

• Utilized FEM to simulate blood flow dynamics in arm arteries.
• Applied various pressure waveforms representing normal and diseased heart pulses as proximal boundary conditions.
• Employed a modified Windkessel model for distal arterial boundary conditions.
• Analyzed the impact of stenosis, altered arterial compliance, and distal vascular bed dilatation on pressure and flow waveforms.

Main Results:

• Distal pressure and flow waveforms showed significant alterations in certain cases, suggesting potential diagnostic value for abnormal heart conditions.
• Stenosis with >75% area reduction markedly changed distal pressure and flow waveforms.
• Changes in arterial compliance had minimal influence on waveform characteristics.
• Dilatation of distal vascular beds increased mean flow and decreased mean distal pressure but minimally affected waveform shape.

Conclusions:

• Simulated arterial blood flow using FEM can identify waveform alterations indicative of specific pathologies.
• Pressure and flow waveform analysis holds promise as a non-invasive diagnostic approach for cardiovascular abnormalities.
• Significant arterial stenosis is a key factor in altering blood flow dynamics, detectable through waveform analysis.