Eerikäinen et al., 2015 - Google Patents
Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approachEerikäinen et al., 2015
View PDF- Document ID
- 3596088612041107818
- Author
- Eerikäinen L
- Vanschoren J
- Rooijakkers M
- Vullings R
- Aarts R
- Publication year
- Publication venue
- 2015 Computing in Cardiology Conference (CinC)
External Links
Snippet
We present a novel algorithm for classifying true and false alarms of five life-threatening arrhythmias in intensive care. This algorithm was entered in the PhysioNet/Computing in Cardiology Challenge 2015 Reducing False Arrhythmia Alarms in the ICU. The algorithm …
- 206010003119 Arrhythmia 0 title abstract description 31
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- A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
- A61B5/046—Detecting fibrillation
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