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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