Thomas Hellstén

Thomas Hellstén is a Senior Lecturer in Physiotherapy at Arcada University of Applied Sciences, affiliated with the School of Engineering, Culture and Wellbeing. He holds a Master of Physiotherapy and is a PhD student at the University of Helsinki, focusing on interdisciplinary research in technology and healthcare. His research emphasizes musculoskeletal physiotherapy, digitalization in healthcare, rehabilitation robotics, and wearable technologies. Hellstén leads the Computer Vision based Real-Time Motion Analysis in Health and Well-Being project at Arcada.

His academic background includes studies in clinical physiotherapy and advanced training in interdisciplinary healthcare innovation. Key research interests include applying computer vision for motion analysis in rehabilitation, remote physiotherapy practices, and integration of humanoid robots in pediatric neurorehabilitation.

Recent publications highlight advancements in markerless pose estimation for joint motion analysis, feasibility studies in robotic rehabilitation for cerebral palsy patients, and telehealth implementation in芬兰. His work bridges clinical practice with emerging technologies, emphasizing multi-professional collaboration for healthcare innovation.

Professional awards and grants are not explicitly mentioned, but his active role in cross-departmental research collaborations showcases his leadership in academic innovation. Hellstén is involved in developing wearable sensor technologies and real-time monitoring systems for healthcare applications.