Journal article icon

Journal article

Signal quality and data fusion for false alarm reduction in the intensive care unit.

Abstract:

Due to a lack of integration between different sensors, false alarms (FA) in the intensive care unit (ICU) are frequent and can lead to reduced standard of care. We present a novel framework for FA reduction using a machine learning approach to combine up to 114 signal quality and physiological features extracted from the electrocardiogram, photoplethysmograph, and optionally the arterial blood pressure waveform. A machine learning algorithm was trained and evaluated on a database of 4107 exp...

Expand abstract
Publication status:
Published

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
Journal of electrocardiology
Volume:
45
Issue:
6
Pages:
596-603
Publication date:
2012
DOI:
EISSN:
1532-8430
ISSN:
0022-0736
URN:
uuid:def4a53c-bfc4-4aa5-bd3a-3263f5cbb572
Source identifiers:
350513
Local pid:
pubs:350513

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP