Robust parameter extraction for decision support using multimodal intensive care data

• Published in: Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences Vol. 367; no. 1887; pp. 411 - 429
• Main Authors: Clifford, G.D, Long, W.J, Moody, G.B, Szolovits, P
• Format: Journal Article
• Language: English
• Published: London The Royal Society 28.01.2009
• Subjects: Algorithms; Blood pressure; Clinical Errors; Computer Communication Networks; Critical Care - methods; Data Fusion; Data Interpretation, Statistical; Decision Support; Decision Support Techniques; Electrocardiography; Health Services Needs and Demand; Heart rate; Humans; Information retrieval noise; Intensive Care Unit; Intensive Care Units; Interpolation; Missing data; Models, Statistical; Monitoring, Physiologic - methods; Noise; Reproducibility of Results; Signal noise; Signal Processing, Computer-Assisted; Signal Quality; Waveforms

Digital information flow within the intensive care unit (ICU) continues to grow, with advances in technology and computational biology. Recent developments in the integration and archiving of these data have resulted in new opportunities for data analysis and clinical feedback. New problems associat...