Feuerriegel, Stefan

Bérubé, Caterina; Maritsch, Martin; Lehmann, Vera Franziska; Kraus, Mathias; Feuerriegel, Stefan; Züger, Thomas; Wortmann, Felix; Stettler, Christoph; Fleisch, Elgar; Kocaballi, A Baki; Kowatsch, Tobias (2024). Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving. JMIR Human Factors, 11(e46967) JMIR Publications 10.2196/46967

Maritsch, Martin; Föll, Simon; Lehmann, Vera; Styger, Naïma; Bérubé, Caterina; Kraus, Mathias; Feuerriegel, Stefan; Kowatsch, Tobias; Züger, Thomas; Fleisch, Elgar; Wortmann, Felix; Stettler, Christoph (2024). Smartwatches for non-invasive hypoglycaemia detection during cognitive and psychomotor stress. Diabetes, obesity & metabolism, 26(3), pp. 1133-1136. Wiley 10.1111/dom.15402

Vlasceanu, Madalina; Doell, Kimberly C; Bak-Coleman, Joseph B; Todorova, Boryana; Berkebile-Weinberg, Michael M; Grayson, Samantha J; Patel, Yash; Goldwert, Danielle; Pei, Yifei; Chakroff, Alek; Pronizius, Ekaterina; van den Broek, Karlijn L; Vlasceanu, Denisa; Constantino, Sara; Morais, Michael J; Schumann, Philipp; Rathje, Steve; Fang, Ke; Aglioti, Salvatore Maria; Alfano, Mark; ... (2024). Addressing climate change with behavioral science: A global intervention tournament in 63 countries. Science Advances, 10(6) American Association for the Advancement of Science 10.1126/sciadv.adj5778

Bérubé, Caterina; Lehmann, Vera Franziska; Maritsch, Martin; Kraus, Mathias; Feuerriegel, Stefan; Wortmann, Felix; Züger, Thomas; Stettler, Christoph; Fleisch, Elgar; Kocaballi, A Baki; Kowatsch, Tobias (2024). Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial. JMIR Human Factors, 11(e42823), e42823. JMIR Publications 10.2196/42823

van Weenen, Eva; Banholzer, Nicolas; Föll, Simon; Zueger, Thomas; Fontana, Federico Y; Skroce, Kristina; Hayes, Charlotte; Kraus, Mathias; Feuerriegel, Stefan; Lehmann, Vera; Scott, Sam N; Wortmann, Felix; Stettler, Christoph (2023). Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season. Diabetes, obesity & metabolism, 25(9), pp. 2616-2625. Wiley 10.1111/dom.15147

Lehmann, Vera; Zueger, Thomas; Maritsch, Martin; Kraus, Mathias; Albrecht, Caroline; Bérubé, Caterina; Feuerriegel, Stefan; Wortmann, Felix; Kowatsch, Tobias; Styger, Naïma; Lagger, Sophie; Laimer, Markus; Fleisch, Elgar; Stettler, Christoph (2023). Machine learning for non-invasive sensing of hypoglycemia while driving in people with diabetes. Diabetes, obesity & metabolism, 25(6), pp. 1668-1676. Wiley 10.1111/dom.15021

Schallmoser, Simon; Zueger, Thomas; Kraus, Mathias; Saar-Tsechansky, Maytal; Stettler, Christoph; Feuerriegel, Stefan (2023). Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study. Journal of medical internet research, 25(e42181), e42181. Centre of Global eHealth Innovation 10.2196/42181

Koch, Kevin; Maritsch, Martin; Van Weenen, Eva; Feuerriegel, Stefan; Pfäffli, Matthias; Fleisch, Elgar; Weinmann, Wolfgang; Wortmann, Felix (2023). Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. In: CHI '23: CHI Conference on Human Factors in Computing Systems (pp. 1-32). New York, NY, USA: ACM 10.1145/3544548.3580975

Zueger, Thomas; Schallmoser, Simon; Kraus, Mathias; Saar-Tsechansky, Maytal; Feuerriegel, Stefan; Stettler, Christoph (2022). Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes. Diabetes technology & therapeutics, 24(11), pp. 842-847. Mary Ann Liebert 10.1089/dia.2022.0210

Föll, Simon; Lison, Adrian; Maritsch, Martin; Klingberg, Karsten; Lehmann, Vera; Züger, Thomas; Srivastava, David; Jegerlehner, Sabrina; Feuerriegel, Stefan; Fleisch, Elgar; Exadaktylos, Aristomenis; Wortmann, Felix (2022). A Scalable Risk Scoring System for COVID-19 Inpatients Based on Consumer-grade Wearables: Statistical Analysis and Model Development. JMIR formative research, 6(6), e35717. JMIR Publications 10.2196/35717

Lehmann, Vera; Tripyla, Afroditi; Herzig, David; Meier, Jasmin; Banholzer, Nicolas; Maritsch, Martin; Zehetner, Jörg; Giachino, Daniel; Nett, Philipp; Feuerriegel, Stefan; Wortmann, Felix; Bally, Lia (2021). The impact of postbariatric hypoglycaemia on driving performance: A randomized, single‐blind, two‐period, crossover study in a driving simulator. Diabetes, obesity and metabolism, 23(9), pp. 2189-2193. Wiley 10.1111/dom.14456

Banholzer, Nicolas; Herzig, David; Piazza, Camillo; Álvarez-Martínez, Mario; Nakas, Christos T; Kosinski, Christophe; Feuerriegel, Stefan; Hovorka, Roman; Bally, Lia (2021). Effect of nutrition on postprandial glucose control in hospitalized patients with type 2 diabetes receiving fully automated closed-loop insulin therapy. Diabetes, obesity & metabolism, 23(1), pp. 234-239. Wiley 10.1111/dom.14187

Züger, Thomas; Gloor, Manuel; Lehmann, Vera; Melmer, Andreas; Kraus, Mathias; Feuerriegel, Stefan; Laimer, Markus; Stettler, Christoph (2020). White coat adherence effect on glucose control in adult individuals with diabetes. Diabetes research and clinical practice, 168, p. 108392. Elsevier 10.1016/j.diabres.2020.108392

Maritsch, Martin; Föll, Simon; Lehmann, Vera; Bérubé, Caterina; Kraus, Mathias; Feuerriegel, Stefan; Kowatsch, Tobias; Züger, Thomas Johannes; Stettler, Christoph; Fleisch, Elgar; Wortmann, Felix (April 2020). Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes. In: CHI '20: CHI Conference on Human Factors in Computing Systems (pp. 1-8). New York, NY, USA: ACM 10.1145/3334480.3382808

Maritsch, Martin; Bérubé, Caterina; Kraus, Mathias; Lehmann, Vera; Züger, Thomas; Feuerriegel, Stefan; Kowatsch, Tobias; Wortmann, Felix (2019). Improving heart rate variability measurements from consumer smartwatches with machine learning. In: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 ACM International Symposium (pp. 934-938). New York, New York, USA: ACM Press 10.1145/3341162.3346276