Real-time prognosis of ICU physiological data streams

Daby Sow; Alain Biem; Jimeng Sun; Jianying Hu; Shahram Ebadollahi

doi:10.1109/IEMBS.2010.5625983

Real-time prognosis of ICU physiological data streams

Daby Sow, Alain Biem, Jimeng Sun, Jianying Hu, Shahram Ebadollahi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a system capable of predicting in real-time the evolution of Intensive Care Unit (ICU) physiological patient data streams. It leverages a state of the art stream computing platform to host analytics capable of making such prognosis in real time. The focus is on online algorithms that do not require a training phase. We use Fading- Memory Polynomial filters [8] on the frequency domain to predict windows of ICU data streams. We report on both the system and the performance of this approach when applied to traces of more than 1500 ICU patients obtained from the MIMIC-II database [1].

Original language	English (US)
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	6785-6788
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2010.5625983
State	Published - 2010
Externally published	Yes
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: Aug 31 2010 → Sep 4 2010

Publication series

Name	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Other

Other	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	8/31/10 → 9/4/10

ASJC Scopus subject areas

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

Online availability

10.1109/IEMBS.2010.5625983

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Sow, D., Biem, A., Sun, J., Hu, J., & Ebadollahi, S. (2010). Real-time prognosis of ICU physiological data streams. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 6785-6788). Article 5625983 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5625983

Real-time prognosis of ICU physiological data streams. / Sow, Daby; Biem, Alain; Sun, Jimeng et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 6785-6788 5625983 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sow, D, Biem, A, Sun, J, Hu, J & Ebadollahi, S 2010, Real-time prognosis of ICU physiological data streams. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5625983, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 6785-6788, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5625983

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Real-time prognosis of ICU physiological data streams

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