{"id": "package:8a693d6a-d794-43ff-b51d-b5eae897609b", "name": "AF_5.py", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/8a693d6a-d794-43ff-b51d-b5eae897609b", "size": 8702, "created_time": "2024-06-03T20:29:17,488906Z", "updated_time": "2024-06-03T20:34:31,045351Z", "version": "1", "mime_type": "text/x-python", "checksums": [{"checksum": "6c262bb40b54909002eb67edd802b1d7", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prd-sparc-discover50-use1/392/files/code/AF_5.py"}, "region": "us-east-1"}], "dataset": {"id": "392", "doi": "DOI:10.26275/b0lj-xsto", "title": "Simulation of the short term impact of atrial fibrillation on hemodynamic variables", "description": "The computational model of the human cardio-baroreflex provides a simulation of four variables (heart rate, mean arterial pressure, stroke volume and left atrial end systolic volume) following an onset of atrial fibrillation.", "abstract": "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. This is a purely computational study. The main driver for AF-related tachycardia is the refractory period of the atrioventricular node."}}