Simulation of the short term impact of atrial fibrillation on hemodynamic variables

Study Purpose: This computational study was conducted to simulate atrial fibrillation (AF)-induced changes in hemodynamic variables and ultimately to identify appropriate neuromodulatory measures for symptom alleviation.

Data Collection: This is a purely computational study.

Primary Conclusion: The main driver for AF-related tachycardia is the refractory period of the atrioventricular node.

Curator's Notes

Experimental Design: Not applicable; this is a computational study.

Completeness: This dataset is complete.

Subjects & Samples: This is a computational dataset; thus no subjects are described.

Primary vs derivative data: Not applicable. This is a computational study.

Code Availability: code folder contains associated Python files that simulate the short term trends of four hemodynamic parameters: heart rate (beats per minute), mean arterial pressure (mmHg), stroke volume (ml) and left atrial end systolic volume (ml); on a beat-to-beat basis.