xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features von Goettling, Marc, Hammer, Alexander, Malberg, Hagen, Schmidt, Martin

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Novel Metric for Non-Invasive Beat-to-Beat Blood Pressure Measurements Demonstrates Physiological Blood Pressure Fluctuations during Pregnancy von Zimmermann, David, Malberg, Hagen, Schmidt, Martin

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A Wireless Rowing Measurement System for Improving the Rowing Performance of Athletes von Hohmuth, Richard, Schwensow, Daniel, Malberg, Hagen, Schmidt, Martin

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Comparison of different spectral cameras for image-guided organ transplantation von Mühle, Richard, Markgraf, Wenke, Hilsmann, Anna, Malberg, Hagen, Eisert, Peter, Wisotzky, Eric L

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State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset von Ehrlich, Franz, Sehr, Tony, Brandt, Moritz, Schmidt, Martin, Malberg, Hagen, Sedlmayr, Martin, Goldammer, Miriam

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Assessment of the human response to acute mental stress–An overview and a multimodal study von Ernst, Hannes, Scherpf, Matthieu, Pannasch, Sebastian, Helmert, Jens R, Malberg, Hagen, Schmidt, Martin

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Preoperative Function Assessment of Ex Vivo Kidneys with Supervised Machine Learning Based on Blood and Urine Markers Measured during Normothermic Machine Perfusion von Markgraf, Wenke, Malberg, Hagen

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Robust methods for automated selection of cardiac signals after blind source separation von Wedekind, Daniel, Kleyko, Denis, Osipov, Evgeny, Malberg, Hagen, Zaunseder, Sebastian, Wiklund, Urban

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Nocturnal ventricular repolarization lability predicts cardiovascular mortality in the Sleep Heart Health Study von Schmidt, Martin, Baumert, Mathias, Penzel, Thomas, Malberg, Hagen, Zaunseder, Sebastian

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Torsobarography: Intra-Observer Reliability Study of a Novel Posture Analysis Based on Pressure Distribution von Stecher, Nico, Heinke, Andreas, Żurawski, Arkadiusz Łukasz, Harder, Maximilian Robert, Schumann, Paula, Jochim, Thurid, Malberg, Hagen

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Assessing Biomarkers of Porcine Kidneys under Normothermic Machine Perfusion-Can We Gain Insight into a Marginal Organ? von Steinhauser, Carla, Yakac, Abdulbaki, Markgraf, Wenke, Kromnik, Susanne, Döcke, Andreas, Talhofer, Philipp, Thiele, Christine, Malberg, Hagen, Sommer, Ulrich, Baretton, Gustavo B, Füssel, Susanne, Thomas, Christian, Putz, Juliane

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Approach for Non-Intrusive Detection of the Fit of Orthopaedic Devices Based on Vibrational Data von Neupetsch, Constanze, Hensel, Eric, Heinke, Andreas, Stapf, Tom, Stecher, Nico, Malberg, Hagen, Heyde, Christoph-Eckhard, Drossel, Welf-Guntram

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Algorithm for Mapping Kidney Tissue Water Content during Normothermic Machine Perfusion Using Hyperspectral Imaging von Markgraf, Wenke, Lilienthal, Jannis, Feistel, Philipp, Thiele, Christine, Malberg, Hagen

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Pulse Arrival Time - A Sensitive Vital Parameter for the Detection of Mental Stress von Ernst, Hannes, Scherpf, Matthieu, Malberg, Hagen, Schmidt, Martin

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Controllability of Functional and Structural Brain Networks von Moradi Amani, Ali, Tahmassebi, Amirhessam, Stadlbauer, Andreas, Meyer-Baese, Uwe, Noblet, Vincent, Blanc, Frederic, Malberg, Hagen, Meyer-Baese, Anke

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Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients von Meyer-Baese, Anke, Jütten, Kerstin, Meyer-Baese, Uwe, Amani, Ali Moradi, Malberg, Hagen, Stadlbauer, Andreas, Kinfe, Thomas, Na, Chuh-Hyoun

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Camera-based photoplethysmography in an intraoperative setting von Trumpp, Alexander, Lohr, Johannes, Wedekind, Daniel, Schmidt, Martin, Burghardt, Matthias, Heller, Axel R, Malberg, Hagen, Zaunseder, Sebastian

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Additively Manufactured Pneumatically Driven Skin Electrodes von Schubert, Martin, Schmidt, Martin, Wolter, Paul, Malberg, Hagen, Zaunseder, Sebastian, Bock, Karlheinz

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Hyperspectral Imaging during Normothermic Machine Perfusion-A Functional Classification of Ex Vivo Kidneys Based on Convolutional Neural Networks von Sommer, Florian, Sun, Bingrui, Fischer, Julian, Goldammer, Miriam, Thiele, Christine, Malberg, Hagen, Markgraf, Wenke

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Detection of Fall Risk in Multiple Sclerosis by Gait Analysis—An Innovative Approach Using Feature Selection Ensemble and Machine Learning Algorithms von Schumann, Paula, Scholz, Maria, Trentzsch, Katrin, Jochim, Thurid, Śliwiński, Grzegorz, Malberg, Hagen, Ziemssen, Tjalf

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