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137 related items for PubMed ID: 35304473
1. A contrastive learning approach for ICU false arrhythmia alarm reduction. Zhou Y, Zhao G, Li J, Sun G, Qian X, Moody B, Mark RG, Lehman LH. Sci Rep; 2022 Mar 18; 12(1):4689. PubMed ID: 35304473 [Abstract] [Full Text] [Related]
7. Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU. Manna T, Swetapadma A, Abdar M. J Med Syst; 2019 May 21; 43(7):191. PubMed ID: 31115734 [Abstract] [Full Text] [Related]
8. Reduction of false arrhythmia alarms using signal selection and machine learning. Eerikäinen LM, Vanschoren J, Rooijakkers MJ, Vullings R, Aarts RM. Physiol Meas; 2016 Aug 21; 37(8):1204-16. PubMed ID: 27454128 [Abstract] [Full Text] [Related]
16. False alarms during patient monitoring in clinical intensive care units are highly related to poor quality of the monitored electrocardiogram signals. Tsimenidis C, Murray A. Physiol Meas; 2016 Aug 07; 37(8):1383-91. PubMed ID: 27454130 [Abstract] [Full Text] [Related]
17. An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. Ghazanfari B, Afghah F, Najarian K, Mousavi S, Gryak J, Todd J. Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul 07; 2019():349-353. PubMed ID: 31945913 [Abstract] [Full Text] [Related]
19. Reducing false asystole alarms in intensive care. Dekimpe R, Heldt T. Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul 07; 2017():2292-2295. PubMed ID: 29060355 [Abstract] [Full Text] [Related]
20. ECG signal quality during arrhythmia and its application to false alarm reduction. Behar J, Oster J, Li Q, Clifford GD. IEEE Trans Biomed Eng; 2013 Jun 07; 60(6):1660-6. PubMed ID: 23335659 [Abstract] [Full Text] [Related] Page: [Next] [New Search]