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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Moody, G.B. Mark, R.G. |
| Copyright Year | 1997 |
| Description | Author affiliation: Div. of Health Sci. & Technol., MIT, Cambridge, MA, USA (Moody, G.B.) |
| Abstract | The MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) database is a collection of recorded physiological signals and clinical data that is intended to support the development and evaluation of automated decision support systems for intensive care settings. Each patient record typically includes 24 to 48 hours of continuous real-time signals (e.g. ECGs, blood pressure waveforms or respiration) and derived measurements (e.g. heart rate or systolic blood pressure), together with clinical data derived from the patient's medical record and from the hospital's clinical computing systems. The clinical data are encoded using structured HTML (readable using a standard Web browser, or by a decision support system or other automated application). An important element of this encoding is a reconstruction of the medical record in the form of a time-line of events, which permits a detailed and repeatable simulation of the inputs that are potentially available to a real-time "intelligent" ICU monitor. |
| Starting Page | 585 |
| Ending Page | 588 |
| File Size | 1117521 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780344456 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.1997.648019 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-09-07 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biomedical monitoring Decision support systems Blood pressure Deductive databases Patient monitoring Computerized monitoring Electrocardiography Pressure measurement Heart rate HTML |
| Content Type | Text |
| Resource Type | Article |
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