Background and activities
Beatrix Vereijken is Professor at the Department of Neuromedicine and Movement Science at the Faculty of Medicine and Health Sciences. She is the principal investigator (PI) for the NTNU Health project EXACT, which focuses on developing exergames for active, healthy ageing and rehabilitation. She is also NTNU's PI in the EU-IMI project Mobilise-D, that aims to connect digital mobility assessment to clinical outcomes for regulatory and clinical endorsement, and was co-coordinating the EU project PreventIT, a personalised health and ICT project aimed at preventing functional decline at older age. She is the scientific leader of the faculty's core facility NeXt Move.
- MSc in Experimental Psychology, the Netherlands, 1987
- PhD in Human Movement Science, the Netherlands, 1991
- Motor control, development, and learning
- Movement problems in children and older adults
- Development of health technology solutions to promote active ageing
- Sensor-based measurement of physical activity and mobility
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2021) Sensitivity to Change and Responsiveness of the Original and the Shortened Version of the Community Balance and Mobility Scale for Young Seniors. Archives of Physical Medicine and Rehabilitation. vol. 102 (11).
- (2021) It’s not about the capture, it’s about what we can learn”: a qualitative study of experts’ opinions and experiences regarding the use of wearable sensors to measure gait and physical activity. Journal of NeuroEngineering and Rehabilitation. vol. 18 (1).
- (2021) Technical validation of real-world monitoring of gait: A multicentric observational study. BMJ Open. vol. 11 (12).
- (2021) Experiences of Stroke Survivors and Clinicians With a Fully Immersive Virtual Reality Treadmill Exergame for Stroke Rehabilitation: A Qualitative Pilot Study. Frontiers in Aging Neuroscience. vol. 13.
- (2021) Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. npj Digital Medicine. vol. 4 (1).
- (2021) Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61- To 70-Year-Old Adults. Gerontology. vol. 67.
- (2021) Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Transactions on Human-Machine Systems. vol. 51 (3).
- (2020) Balance training in older adults using exergames: Game speed and cognitive elements affect how seniors play. Frontiers in Sports and Active Living. vol. 2 (54).
- (2020) The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings. Medical and Biological Engineering and Computing. vol. 58.
- (2020) Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test. Sensors. vol. 20 (17).
- (2020) App-based Self-administrable Clinical Tests of Physical Function: Development and Usability Study. JMIR mhealth and uhealth. vol. 8 (4).
- (2020) Development and usability of app-based self-administrable clinical tests of physical function. Gerontechnology. vol. 19.
- (2020) The Effect of Increased Gait Speed on Asymmetry and Variability in Children With Cerebral Palsy. Frontiers in Neurology. vol. 10.
- (2020) Creating and Validating a Shortened Version of the Community Balance and Mobility Scale for Application in People Who Are 61 to 70 Years of Age. Physical Therapy. vol. 100 (1).
- (2020) The association of basic and challenging motor capacity with mobility performance and falls in young seniors. Archives of gerontology and geriatrics (Print). vol. 90.
- (2020) Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review. BMJ Open. vol. 10.
- (2020) A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach. Digital Biomarkers. vol. 4.
- (2020) Digital technology to deliver a lifestyle-integrated exercise intervention in young seniors – the PreventIT feasibility randomised controlled trial. Frontiers in Digital Health. vol. 2.
- (2020) Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors. vol. 20 (23).
- (2019) Performance-based clinical tests of balance and muscle strength used in young seniors: a systematic literature review. BMC Geriatrics. vol. 19 (1).