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Martin Maritsch
Martin Maritsch
PhD Candidate and Doctoral Researcher, ETH Zurich
Bestätigte E-Mail-Adresse bei ethz.ch
Titel
Zitiert von
Zitiert von
Jahr
Application system design - High security
C Wagner, C Lesjak, A Aldrian, T Ruprechter, M Maritsch, T Ebner, D Hein, ...
IoT Automation, 353-366, 2017
235*2017
Securing smart maintenance services: Hardware-security and TLS for MQTT
C Lesjak, D Hein, M Hofmann, M Maritsch, A Aldrian, P Priller, T Ebner, ...
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015
732015
FLIRT: A feature generation toolkit for wearable data
S Föll, M Maritsch, F Spinola, V Mishra, F Barata, T Kowatsch, E Fleisch, ...
Computer Methods and Programs in Biomedicine 212, 106461, 2021
492021
Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes
M Maritsch, S Föll, V Lehmann, C Bérubé, M Kraus, S Feuerriegel, ...
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
272020
Hardware-secured and transparent multi-stakeholder data exchange for industrial IoT
C Lesjak, H Bock, D Hein, M Maritsch
2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016
252016
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
M Maritsch, C Bérubé, M Kraus, V Lehmann, T Züger, S Feuerriegel, ...
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
192019
Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows
M Maritsch, C Lesjak, A Aldrian
2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016
142016
Noninvasive hypoglycemia detection in people with diabetes using smartwatch data
V Lehmann, S Föll, M Maritsch, E van Weenen, M Kraus, S Lagger, ...
Diabetes care 46 (5), 993, 2023
122023
Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition
S Liu, K Koch, Z Zhou, M Maritsch, X He, E Fleisch, F Wortmann
IEEE Internet of Things Journal 9 (14), 11699-11711, 2021
92021
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
K Koch, M Maritsch, E Van Weenen, S Feuerriegel, M Pfäffli, E Fleisch, ...
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
82023
Sichere Vernetzung von Geräten in Smart Factories mit MQTT
M Maritsch, C Kittl, T Ebner
Mensch und Computer 2015–Workshopband, 217-224, 2015
82015
Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes
V Lehmann, T Zueger, M Maritsch, M Kraus, C Albrecht, C Bérubé, ...
Diabetes, Obesity and Metabolism 25 (6), 1668-1676, 2023
72023
The impact of postbariatric hypoglycemia on driving performance–a randomized, single‐blind, two‐period crossover study in a driving simulator
V Lehmann, A Tripyla, D Herzig, J Meier, N Banholzer, M Maritsch, ...
Diabetes, Obesity and Metabolism, 2021
72021
A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development
S Föll, A Lison, M Maritsch, K Klingberg, V Lehmann, T Züger, ...
JMIR Formative Research 6 (6), e35717, 2022
22022
Gated Domain Units for Multi-source Domain Generalization
S Föll, A Dubatovka, E Ernst, M Maritsch, P Okanovic, G Thäter, ...
arXiv preprint arXiv:2206.12444, 2022
22022
Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial
C Bérubé, VF Lehmann, M Maritsch, M Kraus, S Feuerriegel, F Wortmann, ...
JMIR Human Factors 11 (1), e42823, 2024
12024
234-OR: noninvasive hypoglycemia detection during real car driving using in-vehicle data
V Lehmann, T Züger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ...
Diabetes 71 (Supplement_1), 2022
12022
A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving
V Lehmann, M Maritsch, T Züger, A Marxer, C Bérubé, M Kraus, ...
Diabetes 70 (S1), 5-LB, 2021
12021
Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving
C Bérubé, M Maritsch, VF Lehmann, M Kraus, S Feuerriegel, T Züger, ...
JMIR Human Factors 11 (1), e46967, 2024
2024
Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress
M Maritsch, S Föll, V Lehmann, N Styger, C Bérubé, M Kraus, ...
Diabetes, Obesity and Metabolism 26 (3), 1133-1136, 2024
2024
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