A Software Tool for Anomaly Detection and Labeling of Ventilator Waveforms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51485-2_29
Reference18 articles.
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2. Blanch, L., Villagra, A., Sales, B., et al.: Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med. 41(4), 633–641 (2015)
3. Liu, L., Yang, Y., Gao, Z., et al.: Practice of diagnosis and management of acute respiratory distress syndrome in mainland China: a cross-sectional study. J. Thorac. Dis. 10(9), 5394 (2018)
4. Kyo, M., Shimatani, T., Hosokawa, K., et al.: Patient–ventilator asynchrony, impact on clinical outcomes and effectiveness of interventions: a systematic review and meta-analysis. J. Intensive Care 9(1), 1–13 (2021)
5. Drew, B.J., Harris, P., Zegre-Hemsey, J.K., et al.: Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients. PLoS One 9(10), e110274 (2014)
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