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Heart Rate Estimation in Photoplethysmogram Signals using Nonlinear Model-Based Preprocessing., , and . CinC, page 633-636. www.cinc.org, (2015)State Space Models with Dynamical and Sparse Variances, and Inference by EM Message Passing., , and . EUSIPCO, page 1-5. IEEE, (2019)State Space Methods with Applications in Biomedical Signal Processing.. ETH Zurich, Zürich, Switzerland, (2019)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/344762).Non-Invasive Detection of Intracranial Hypertension Using Random Forests., , , , and . CinC, www.cinc.org, (2017)Outlier-insensitive Kalman smoothing and marginal message passing., , , , , and . EUSIPCO, page 1242-1246. IEEE, (2016)New square-root and diagonalized Kalman smoothers., , , and . Allerton, page 1282-1290. IEEE, (2016)Estimation of heart rate and heart rate variability from pulse oximeter recordings using localized model fitting., , and . EMBC, page 3815-3818. IEEE, (2015)A multiscale, model-based analysis of the multi-tissue interplay underlying blood glucose regulation in type I diabetes., , , , and . EMBC, page 1417-1421. IEEE, (2016)Transcranial Doppler Ultrasound Database (Philips CX50 ultrasound system)., and . (May 2022)Factor Graphs with NUV Priors and Iteratively Reweighted Descent for Sparse Least Squares and More., , , and . ISTC, page 1-5. IEEE, (2018)