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6,361 to 6,369 of 6,369 Results
Jul 10, 2019
Lake, Douglas, 2019, "UVA Holter Beat Annotation Files", https://doi.org/10.18130/V3/TSJ8IC, University of Virginia Dataverse, V1, UNF:6:8CiN/EPHIGQW80jX0Qk0VQ== [fileUNF]
Raw heart beat detection and annotation (.BEA) files for 2893 24-hour Holter recordings made at the University of Virginia from 2005 to 2010. Survival and basic patient information also available. Matlab script provided to read files and create interbeat intervals (i.e., RR intervals) along with rhythm and beat labels. RR interval series suitable f...
Tabular Data - 2.2 KB - 6 Variables, 45 Observations - UNF:6:nwzlaXBf2El/P0roqFp/zQ==
Spreadsheet with description of beat annotation and rhythm classification codes.
Plain Text - 2.0 KB - MD5: 24a1bf014d4e080a8d1ce32068e18519
Matlab function to read in RR intervals and rhythm labels from beat annotation (.BEA) files
ZIP Archive - 1.1 GB - MD5: 40c2f1d006c93095b556c21c1f53eb31
Zipped directory of 2893 raw .BEA text files. Files contain beat annotations and rhythm classifications determined by Holter device using 3 EKG leads sampled at 200Hz;
Tabular Data - 192.3 KB - 13 Variables, 2893 Observations - UNF:6:1dgPIH+bujKje8nl6uB1Xg==
Spreadsheet with available survival and basic demographic information. Note there can be multiple holters per patient. Notes from cardiologists who manually over-read data included for subset of holters.
ZIP Archive - 2.3 GB - MD5: 51789dcf581d1cb688e9f288c9cea6a6
Matlab files with RR intervals, rhythm and beat labels extracted from .BEA files using Matlab function READBEA.M.
Jul 17, 2017
Moss, Travis, 2017, "Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study", https://doi.org/10.18130/V3/MKY17T, University of Virginia Dataverse, V1, UNF:6:X+2wSZbLeWoWG/3CELuVXw== [fileUNF]
Minimal anonymized data set for replication of study findings
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