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Assessing ECG signal quality indices to discriminate ECGs with artefacts from pathologically different arrhythmic ECGs
False and non-actionable alarms in critical care can be reduced by developing algorithms which assess the trueness of an arrhythmia alarm from a bedside monitor. Computational approaches that automatically identify artefacts in ECG signals are an important branch of physiological signal processing w...
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| Wydane w: | Physiol Meas |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2016
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4975422/ https://ncbi.nlm.nih.gov/pubmed/27454007 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0967-3334/37/8/1370 |
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