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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
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
Lehmann, Vera; Föll, Simon; Maritsch, Martin; van Weenen, Eva; Kraus, Mathias; Lagger, Sophie; Odermatt, Katja; Albrecht, Caroline; Fleisch, Elgar; Züger, Thomas; Wortmann, Felix; Stettler, Christoph (2023). Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data. Diabetes care, 46(5), pp. 993-997. American Diabetes Association 10.2337/dc22-2290
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
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
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
