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Representation Learning Approaches to Detect False Arrhythmia Alarms from ECG Dynamics
The high rate of intensive care unit false arrhythmia alarms can lead to disruption of care and slow response time due to desensitization of clinical staff. We study the use of machine learning models to detect false ventricular tachycardia (v-tach) alarms using ECG waveform recordings. We propose u...
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| Publicado no: | Proc Mach Learn Res |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6853621/ https://ncbi.nlm.nih.gov/pubmed/31723938 |
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