Thomas Hellstén

Phone number:040 773 31 54

Thomas Hellstén, Master of Physiotherapy, PhD student
Senior Lecturer in Physiotherapy

Hellstén's main interest is in musculoskeletal physiotherapy, digitalisation in health care and rehabilitation and health promotion. He is a member in an interdisciplinary research group at Arcada between technology and health care, Computer Vision based Real-Time Motion Analysis in Health and Well-Being. Hellstén is also a member in the Finnish Ministry of Education and Culture funded “SotePeda 24/7” project.

" I believe that successful innovation and research is a result from multi professional co-operation."


Bengs D, Jeglinsky I, Surakka J, Hellstén T, Ring J, Kettunen J. 2017. Reliability of Measuring Lower-Limb Muscle EMG Activity Ratio in Activities of Daily Living With Electrodes Embedded in the Clothing. J Sport Rehabil. 2017 Apr 19:1-12. doi: 10.1123/jsr.2017-0019

Tana J., Forss M., Hellstén T. 2017. The use of wearables in healthcare – challenges and opportunities. Arcada Working Papers 6/2017, ISSN 2342-3064, ISBN 978-952-5260-83-0

Ring, J., Hellstén, T. and Kettunen, J., 2019. Evaluating factors associated with the fear of falling in older adults using The Falls Efficacy Scale International (FES-I). Arcada Working Papers 1/2019, ISSN 2342-3064, ISBN 978-952-5260-96-0

Pulkkis, G., Tana, J., Hellstén, T. and Karlsson, J., 2019. Recent developments in computer vision based real-time monitoring in health and well-being. Arcada Working Papers 3/2019, ISSN 2342-3064, ISBN 978-952-7365-02-1

Ring, J., Hellstén, T. and Kettunen, J., 2020. Walking speed in older physically active adults – one-year follow-up study. Arcada Working Papers 1/2020, ISSN 2342-3064, ISBN 978-952-7365-03-8

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Thomas Hellstén