Signal Processing: False Alarm Reduction
- PMID: 31314262
- Bookshelf ID: NBK543632
- DOI: 10.1007/978-3-319-43742-2_27
Signal Processing: False Alarm Reduction
Excerpt
Modern patient monitoring systems in intensive care produce frequent false alarms that can lead to reduced standard of care. In this case study we demonstrate the development of an algorithm which uses a data fusion and machine learning approach to reduce the number of false alarms, while avoiding the suppression of a significant number of true alarms.
Copyright 2016, The Author(s).
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