معرفی
Reinder Haakma is a University Researcher at Eindhoven University of Technology in the Signal Processing Systems department. His work bridges biomedical engineering and machine learning, focusing on advanced signal processing techniques for healthcare applications.
Research interests include:
- Photoplethysmography (PPG) signal decomposition
- Cardiovascular monitoring via wearable sensors
- Anomaly detection in physiological signals
- Improving pulse arrival time estimation
- Smartwatch-based cardiac arrest detection systems
His contributions to rapid eye movement sleep analysis and heart rate variability align with UN Sustainable Development Goals for health innovation. Notable recognition includes the Best paper full paper award at IE 2018 for his work with Tax, van der Aalst, and Sidorova.
Recent publications (2024-2025) demonstrate expertise in predictive coding algorithms, Gaussian modeling, and real-time physiological monitoring. Collaborations span cardiology (Dekker, Vullings) and human-computer interaction (Markopoulos) domains.
