LSTM Model for Sepsis Detection and Classification Using PPG Signals
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67447-1_1
Reference21 articles.
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2. Elgendi, M.: On the analysis of fingertip photoplethysmogram signals. Curr. Cardiol. Rev. 8(1), 14–25 (2012)
3. Esgalhado, F., Fernandes, B., Vassilenko, V., Batista, A., Russo, S.: The application of deep learning algorithms for PPG signal processing and classification. Computers 10(12), 158 (2021)
4. Fan, S.L., Miller, N.S., Lee, J., Remick, D.G.: Diagnosing sepsis - the role of laboratory medicine. Clin. Chim. Acta 460, 203–210 (2016)
5. Hajj, J., Blaine, N., Salavaci, J., Jacoby, D.: The “centrality of sepsis’’: a review on incidence, mortality, and cost of care. Healthcare (Basel) 6(3), 90 (2018)
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