Anouk Waeijen-van Diepen

Anouk Waeijen-van Diepen is a PhD candidate at the Biomedical Diagnostics Lab within the Signal Processing Systems group at Eindhoven University of Technology (TU/e), focusing on integrating machine learning with mechanical ventilation systems. Her work aims to address patient-ventilator asynchrony through advanced algorithms and simulated clinical data.

• Education:
  • MSc in Electrical Engineering (2017, TU/e)
  • BSc in Bioinformatics/Biostatistics (2014, TU/e)
  • Pre-Master in Electrical Engineering (2015, TU/e)

Her research spans biomedical signal processing, machine learning applications in healthcare, and ventilator system optimization. She specializes in asynchrony detection using clinical and simulated data, with a focus on intensive care unit (ICU) environments.

Key trends in her publications include adversarial learning for waveform generation, model-based approaches for patient effort estimation, and automated detection algorithms validated through peer-reviewed journals like Computer Methods and Programs in Biomedicine and Heliyon. She has contributed to IEEE symposia and European Signal Processing Conferences.

Projects include:

• STW Zero 15-06 P2 (2017–2024): Autonomous Acoustic Systems
• Smart Monitoring (2015–2020): Real-time healthcare data analysis