Maritsch, Martin

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Number of items: 10.

Journal Article

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

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

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

Conference or Workshop Item

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

Maritsch, Martin; Koch, Kevin; Thomsen, Hauke; Kühl, Niklas; Pfäffli, Matthias; Weinmann, Wolfgang; Wortmann, Felix (2022). Driver state prediction from vehicle signals: An evaluation of segmentation approaches. In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1106-1113). IEEE 10.1109/ITSC55140.2022.9922011

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

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