IntroductionThe University of Queensland Vital Signs Dataset contains a wide range of patient monitoring data and vital signs that were recorded during 32 surgical cases where patients underwent anaesthesia at the Royal Adelaide Hospital.
BackgroundPatient vital signs data are often used in research, such as designing novel anesthesia monitoring displays, improving alarm algorithms, and developing decision support algorithms. Researchers have access to vital signs data from either clinical databases or patient simulation software.
Databases such as PhysioBank, MIMIC II, and IMPROVE provide vital signs data recorded from patients in Intensive Care Units, but data from patients undergoing anesthesia are either seldom available or the datasets are limited to a subset of monitored parameters, such as CapnoBase for respiratory monitoring.
Patient simulators, such as the Advanced Simulation Corporation Body Simulation or METI Human Patient Simulator, provide realistic representations of vital signs during steady states, but they are less realistic during transitional phases and do not simulate artifacts such as noise, sensor disconnections, and interference.
The aim of this project was to provide a set of multi-parameter vital signs data from patients undergoing a range of anesthetics.
Citing the datasetIf you make use of this data in any way, we would very much appreciate it if you could cite the following article in your own publications:
Liu D, Gorges M, Jenkins, SA. The University of Queensland Vital Signs Dataset: Development of an Accessible Repository of Anesthesia Patient Monitoring Data for Research. Anesth Analg ANE.0b013e318241f7c0; published ahead of print December 20, 2011.
Alternatively, you can link to this website using the dataset's Digital Object Identifier address:
Using this data during the development of commercial products is permitted, provided that the data provided here is not distributed with the commercial product. Please contact us if you would like to package this dataset for use within a commercial application.
Contact usIf you have any questions or concerns, please contact:
Dr David Liu
The University of Queensland
This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.