Prof. Dr.-Ing. Bert Arnrich


Below you will find a list of current and past lectures at the chair of Connected Healthcare as well as a list of current and completed student projects and Master's theses.


Summer Term 2024Data Science for Wearables
Winter Term 2023/24Fundamentals of Programming
Summer Term 2023Statistics in Connected Healthcare
Winter Term 2022/23Fundamentals of Programming
Summer Term 2022Statistics in Connected Healthcare
Programmieren mit R für Einsteiger
Winter Term 2021/22Fundamentals of Programming
Connected Healthcare: Gesundheitsdaten im Alltag erfassen und analysieren
Summer Term 2021Statistics in Connected Healthcare
Winter Term 2020/21Fundamentals of Programming
Summer Term 2020Statistics in Connected Healthcare
Winter Term 2019/20Fundamentals of Programming
Summer Term 2019Connected Healthcare
Statistics in Mobile Computing


Bachelor Projects

2022/23Biofeedback Module for SensorHub
2021/22Sensor-based Nursing Activity App
2020/21Tracking Behavior and Eating Habits

Master Projects

Summer Term 2024Code With the Flow
Winter Term 2023/24Two Hearts, One Rhythm?
Winter Term 2022/23Deep Learning Data Generation for Medical Prediction Systems
Summer Term 2022Dr. AI - The Model Will See You Now!
Winter Term 2021/22Human Emotion and Activity Classification Using Brain Activity Sensors
Summer Term 2021Forecasting Alarms in Intensive Care Units
Winter Term 2020/21Preventive Maintenance for Patients
Summer Term 2020What Can Your Smartwatch Tell You about Your Mental Health?
Winter Term 2019/20Learn to Move Like a Pro


Master's Theses

Samik Real Enrı́quez2023Fighting Label Scarcity: Semi-automated human-in-the-loop label generation for automated stress and mental workload classification for uncontrolled environments
Sai Siddhant Gadamsetti2023Development and Validation of a Multimodal Data Acquisition and Analysis Platform for Assessing Workplace Stress in Group Settings
Ipsita Bhaduri2023Detection of mental workload and stress in realistic settings from multi-modal physiological signals
Karuna Baswal2023Synthetic continuous glucose time series
Carla Terboven2023Air Quality Sonification Using a Simulated Scripted Exposure Design
Alisher Turubayev2023Analysis of Machine Learning and Deep Learning Models for Estimating Cognitive Load from Physiological Data in Software Development Contexts
Lennard Ekrod2023Visualization and Quantification Approach of IMU-Derived Stroke Gait Analysis
Jonas Noack2023Fitting Monocular Image to 3D Pose Models to Gait Analysis
Tibor De Camargo2023A Point Cloud Data Analysis System for Cruciate Ligament Rupture Using 3D Camera
Franziska Schumann2022Online Learning for EEG-based Emotion Classification
Denise Schmidt2022Towards Smart Alarm Thresholds in Medical Patient Monitors
Tillmann Int-Veen2021Computer-assisted Lifestyle: Enabling Personalized Intermittent Fasting 
Joceline Ziegler2021Privacy-Preserving Classification of X-Ray Images in a Federated Learning Setting
Arne Herdick2021Predicting Fatigue in Strength Training using Machine Learning on IMU and HRV Data
Wiktoria Staszak2021Analysis of Mealtime Bolus Behaviors of Users of the Open Artificial Pancreas System (OpenAPS) with Type 1 Diabetes
Fabian Stolp2021Active Learning in Personalized OCD Recognition
Lando Löper2021Personalised Sensor-Based OCD Detection Using Federated Learning
Pawel Glöckner2021Generation of Synthethic Pose Data using Generative Adversarial Networks
Justin Trautmann2021IMU-Based Gait Analysis for Treadmill Walking
Martin Schlegel2020Activity Recognition in the Context of Obsessive-Compulsive Disorder Detection
Christoph Anders2020Data Preprocessing Methods for Time Series Classification on Brain Activity Data
Justus Eilers2020Development of a Standard to Qualitatively Assess QRS Detectors
Pit Mario Wegner2020IMU-Based Trajectory Image Classification for Human Activity Recognition
Felix Musmann2020A Web Plattform for Analysing Multimodal Sensor Data in the Context of Digital Health