Borowski, M. and Siebig, S. and Wrede, C. and Imhoff, M. (2011) Reducing False Alarms of Intensive Care Online-Monitoring Systems: An Evaluation of Two Signal Extraction Algorithms. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE: 143480. ISSN 1748-670X,
Full text not available from this repository. (Request a copy)Abstract
Online-monitoring systems in intensive care are affected by a high rate of false threshold alarms. These are caused by irrelevant noise and outliers in the measured time series data. The high false alarm rates can be lowered by separating relevant signals from noise and outliers online, in such a way that signal estimations, instead of raw measurements, are compared to the alarm limits. This paper presents a clinical validation study for two recently developed online signal filters. The filters are based on robust repeated median regression in moving windows of varying width. Validation is done offline using a large annotated reference database. The performance criteria are sensitivity and the proportion of false alarms suppressed by the signal filters.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | UNIT; REGRESSION; FILTER; WOLF; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin I |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 29 Jun 2020 09:28 |
| Last Modified: | 29 Jun 2020 09:28 |
| URI: | https://pred.uni-regensburg.de/id/eprint/21544 |
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