Search Results - "MARITSCH, MARTIN"
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Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving
Published in JMIR human factors (18-04-2024)“…Hypoglycemia threatens cognitive function and driving safety. Previous research investigated in-vehicle voice assistants as hypoglycemia warnings. However,…”
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Journal Article -
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Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial
Published in JMIR human factors (01-01-2024)“…Hypoglycemia is a frequent and acute complication in type 1 diabetes mellitus (T1DM) and is associated with a higher risk of car mishaps. Currently,…”
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A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development
Published in JMIR formative research (21-06-2022)“…Background: To provide effective care for inpatients with COVID-19, clinical practitioners need systems that monitor patient health and subsequently allow for…”
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Noninvasive Hypoglycemia Detection in People With Diabetes Using Smartwatch Data
Published in Diabetes care (01-05-2023)“…To develop a noninvasive hypoglycemia detection approach using smartwatch data. We prospectively collected data from two wrist-worn wearables…”
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FLIRT: A feature generation toolkit for wearable data
Published in Computer methods and programs in biomedicine (01-11-2021)“…•Wearable data is increasingly utilized for biomedical research and clinical practice.•Standardized wearable data processing and feature generation is…”
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51-OR: Driving Performance after Intake of Glucose vs. Aspartame in Patients with Postprandial Hypoglycemia following Gastric Bypass Surgery
Published in Diabetes (New York, N.Y.) (01-06-2021)“…Background: Due to the high rate of asymptomatic patients, the impact of postprandial hypoglycemia after bariatric surgery (PBH) on daily activities such as…”
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Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes
Published in Diabetes, obesity & metabolism (01-06-2023)“…Aim To develop and evaluate the concept of a non‐invasive machine learning (ML) approach for detecting hypoglycaemia based exclusively on combined driving…”
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Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress
Published in Diabetes, obesity & metabolism (01-03-2024)Get full text
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5-LB: A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving
Published in Diabetes (New York, N.Y.) (01-06-2021)“…Aim: To non-invasively detect hypoglycemia in individuals with type 1 diabetes (T1D) based on gaze behavior while driving. Methods: Controlled hypoglycemia was…”
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The impact of postbariatric hypoglycaemia on driving performance: A randomized, single‐blind, two‐period, crossover study in a driving simulator
Published in Diabetes, obesity & metabolism (01-09-2021)“…Postbariatric hypoglycaemia (PBH) is an increasingly recognized complication of bariatric surgery, but its effect on daily functioning remains unclear. In this…”
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Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition
Published in IEEE internet of things journal (15-07-2022)“…Driver status monitoring systems are a vital component of smart cars in the future, especially in the era when an increasing amount of time is spent in the…”
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234-OR: Noninvasive Hypoglycemia Detection during Real Car Driving Using In-Vehicle Data
Published in Diabetes (New York, N.Y.) (01-06-2022)“…Aim: To develop a non-invasive machine learning (ML) approach to detect hypoglycemia during real car driving based on driving (CAN) , and eye and head motion…”
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Cover Image, Volume 23, Issue 9
Published in Diabetes, obesity & metabolism (01-09-2021)Get full text
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Towards Non-Intrusive Camera-Based Heart Rate Variability Estimation in the Car under Naturalistic Condition
Published in IEEE internet of things journal (30-11-2021)“…Driver status monitoring systems are a vital component of smart cars in the future, especially in the era when an increasing amount of time is spent in the…”
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Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows
Published in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) (01-07-2016)“…Global competition exhibits a strong pressure on organizations to optimize production processes and increase production flexibility. For example, to improve…”
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Conference Proceeding -
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A Scalable Risk Scoring System for COVID-19 Inpatients Based on Consumer-grade Wearables: Statistical Analysis and Model Development
Published in JMIR formative research (09-05-2022)“…To provide effective care for COVID-19 inpatients, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring…”
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Hardware-secured and transparent multi-stakeholder data exchange for industrial IoT
Published in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) (01-07-2016)“…Authentic and confidential, but at the same time traceable and transparent, data exchange among multiple stakeholders is a key challenge in Industrial Internet…”
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Conference Proceeding -
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Securing smart maintenance services: Hardware-security and TLS for MQTT
Published in 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) (01-07-2015)“…Increasing the efficiency of production and manufacturing processes is a key goal of initiatives like Industry 4.0. Within the context of the European research…”
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Conference Proceeding -
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Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Published 22-03-2023“…In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 23). Article 322 Excessive alcohol consumption causes disability and…”
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Driver state prediction from vehicle signals: An evaluation of segmentation approaches
Published in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (08-10-2022)“…Modern vehicles typically are equipped with assistance systems to support drivers in staying vigilant. To assess the driver state, such systems usually split…”
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Conference Proceeding