Teaching

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.

Lectures

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

Bachelor Projects

2023/24	ClearRisk
2022/23	Biofeedback Module for SensorHub
2021/22	Sensor-based Nursing Activity App
2020/21	Tracking Behavior and Eating Habits
2019/20	SensorHub

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Master Projects

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

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Master's Theses

Name	Year	Title
Samik Real Enrı́quez	2023	Fighting Label Scarcity: Semi-automated human-in-the-loop label generation for automated stress and mental workload classification for uncontrolled environments
Sai Siddhant Gadamsetti	2023	Development and Validation of a Multimodal Data Acquisition and Analysis Platform for Assessing Workplace Stress in Group Settings
Ipsita Bhaduri	2023	Detection of mental workload and stress in realistic settings from multi-modal physiological signals
Karuna Baswal	2023	Synthetic continuous glucose time series
Carla Terboven	2023	Air Quality Sonification Using a Simulated Scripted Exposure Design
Alisher Turubayev	2023	Analysis of Machine Learning and Deep Learning Models for Estimating Cognitive Load from Physiological Data in Software Development Contexts
Lennard Ekrod	2023	Visualization and Quantification Approach of IMU-Derived Stroke Gait Analysis
Jonas Noack	2023	Fitting Monocular Image to 3D Pose Models to Gait Analysis
Tibor De Camargo	2023	A Point Cloud Data Analysis System for Cruciate Ligament Rupture Using 3D Camera
Franziska Schumann	2022	Online Learning for EEG-based Emotion Classification
Denise Schmidt	2022	Towards Smart Alarm Thresholds in Medical Patient Monitors
Tillmann Int-Veen	2021	Computer-assisted Lifestyle: Enabling Personalized Intermittent Fasting
Joceline Ziegler	2021	Privacy-Preserving Classification of X-Ray Images in a Federated Learning Setting
Arne Herdick	2021	Predicting Fatigue in Strength Training using Machine Learning on IMU and HRV Data
Wiktoria Staszak	2021	Analysis of Mealtime Bolus Behaviors of Users of the Open Artificial Pancreas System (OpenAPS) with Type 1 Diabetes
Fabian Stolp	2021	Active Learning in Personalized OCD Recognition
Lando Löper	2021	Personalised Sensor-Based OCD Detection Using Federated Learning
Pawel Glöckner	2021	Generation of Synthethic Pose Data using Generative Adversarial Networks
Justin Trautmann	2021	IMU-Based Gait Analysis for Treadmill Walking
Martin Schlegel	2020	Activity Recognition in the Context of Obsessive-Compulsive Disorder Detection
Christoph Anders	2020	Data Preprocessing Methods for Time Series Classification on Brain Activity Data
Justus Eilers	2020	Development of a Standard to Qualitatively Assess QRS Detectors
Pit Mario Wegner	2020	IMU-Based Trajectory Image Classification for Human Activity Recognition
Felix Musmann	2020	A Web Plattform for Analysing Multimodal Sensor Data in the Context of Digital Health

Teaching

Lectures

Bachelor Projects

Master Projects

Master's Theses

News

25.03.2024 | Best Student Paper Award for Bjarne Pfitzner

08.03.2024 | New Publication at the Journal Contemporary Clinical Trials Communications

30.01.2024 | New Publication at the International Journal of Medical Informatics

29.08.2023 | New publication at Nature Scientific Data journal