Christoph Hoog Antink
استادیار · Artificial Intelligence in Medicine
Technical University of Darmstadtمعرفی
Prof. Christoph Hoog Antink is an Assistant Professor (Tenure Track) in Biomedical Engineering at TU Darmstadt. His research focuses on Artificial Intelligence in Medicine, Medical Signal Processing, and Unobtrusive Health Monitoring. He leads projects like the OptiVasc Project for non-invasive vascular assessment and develops novel hardware accelerators for neural networks in medical devices. He holds a PhD in Electrical Engineering from RWTH Aachen University and has extensive industry experience as Head of the Medical Signal Processing Group there.
Education:
- PhD (Dr.-Ing.) in Electrical Engineering and IT, RWTH Aachen University (2012-2017)
- M.S. Mechanical Engineering, University at Buffalo, USA (2009-2011)
- Dipl.-Ing. in Electrical Engineering, RWTH Aachen University (2005-2012)
Research emphasizes sensor fusion for healthcare applications, including gesture recognition with FMG/EMG and cardiac activity monitoring via capacitive ECG. His work bridges machine learning with clinical needs, such as automated ECG analysis and camera-based vital sign estimation in frail geriatric patients.
Recent articles highlight advancements in 3D pose estimation using MediaPipe, tinyHLS hardware tools for neural networks, and cross-subject validation in gesture recognition. His contributions address challenges in unobtrusive monitoring for chronic conditions and elderly care.
