The data used in this research is a subset of the Multi-parameter Intelligent Monitoring for Critical Care (MIMIC) II database. It contains minute-by-minute time series of Heart Rate (HR), Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), and Mean Arterial blood Pressure (MAP) arranged into records, each of which corresponds to an adult patient’s ICU stay.
Source: [Vitor Cerqueira, Luis Torgo, and Carlos Soares. Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes. arXiv preprint arXiv:2010.11595, 2020.] (https://github.com/vcerqueira/layered_ learning_time_series/tree/master/data_sample)
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