Vincent Janssen (Verhaert)

Deep learning in healthcare: cuff-based blood pressure estimation is a thing of the past


Traditional blood pressure devices require a cuff around the arm to obtain a reading. This means that to obtain a continuous blood pressure reading, the person has to wear this cuff all day long, which is often experienced as unpleasant. Welcome the marvelous world of artificial intelligence. Thanks to the advances in AI and the wide range of smart wearables, blood pressure cuffs are no longer necessary. Using deep learning techniques and the photoplethysmogram (PPG) signal found in many smart wearables, we’re able to continuously estimate your blood pressure without any unpleasantness.

Vincent Janssen graduated in 2019 from the University of Leuven as a master in engineering in computer science. During his master, he specialized in artificial intelligence. Computer vision, automatic speech recognition and machine learning aren’t new to him. During his master’s thesis, he researched the impact of AI on predicting the travel time of vessels on inland waterways. He started his career at Verhaert as an AI Lab consultant, where he works on both research and commercial projects concerning artificial intelligence.

Vincent Janssen

Verhaert AI Lab