{"id": "package:7f003317-808f-4e0b-b48b-b0fcd0dd3069", "name": "README.txt", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/7f003317-808f-4e0b-b48b-b0fcd0dd3069", "size": 1147, "created_time": "2024-06-03T20:28:56,806543Z", "updated_time": "2024-06-03T20:34:30,956319Z", "version": "1", "mime_type": "text/plain", "checksums": [{"checksum": "d4d74e33ea69fc8cf95dfefadd0427ef", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prd-sparc-discover50-use1/392/files/README.txt"}, "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."}}