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Department of Computer Science
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Challenges and Opportunities for Harmonizing Research Methodology: Raw Accelerometry.
Methods of information in medicine Dec, 2016 | Pubmed ID: 27714396
Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument.
Journal of medical Internet research May, 2017 | Pubmed ID: 28559229
The association between anemia and falls in community-living women and men aged 65 years and older from the fifth Tromsø Study 2001-02: a replication study.
BMC geriatrics Dec, 2017 | Pubmed ID: 29282000
Uni- and triaxial accelerometric signals agree during daily routine, but show differences between sports.
Scientific reports Oct, 2018 | Pubmed ID: 30305651
Vitamin D in Relation to Incident Sarcopenia and Changes in Muscle Parameters Among Older Adults: The KORA-Age Study.
Calcified tissue international Aug, 2019 | Pubmed ID: 31069442
Change in physical activity is not associated with change in mental distress among adolescents: the Tromsø study: Fit Futures.
BMC public health Jul, 2019 | Pubmed ID: 31288796
Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study.
JMIR formative research Aug, 2019 | Pubmed ID: 31420958
Physical activity levels in adults and elderly from triaxial and uniaxial accelerometry. The Tromsø Study.
PloS one , 2019 | Pubmed ID: 31794552
Evaluating the performance of raw and epoch non-wear algorithms using multiple accelerometers and electrocardiogram recordings.
Scientific reports Apr, 2020 | Pubmed ID: 32246080
Prevalence of accelerometer-measured physical activity in adolescents in Fit Futures - part of the Tromsø Study.
BMC public health Jul, 2020 | Pubmed ID: 32680490
Association between objectively measured physical activity and longitudinal changes in body composition in adolescents: the Tromsø study fit futures cohort.
BMJ open Oct, 2020 | Pubmed ID: 33033016
Physical activity and cold pain tolerance in the general population.
European journal of pain (London, England) Mar, 2021 | Pubmed ID: 33165994
A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks.
Scientific reports Apr, 2021 | Pubmed ID: 33893345
Detection of Ground Contact Times with Inertial Sensors in Elite 100-m Sprints under Competitive Field Conditions.
Sensors (Basel, Switzerland) Nov, 2021 | Pubmed ID: 34770638
Criterion validity of the Saltin-Grimby Physical Activity Level Scale in adolescents. The Fit Futures Study.
PloS one , 2022 | Pubmed ID: 36048815
Consistent pattern between physical activity measures and chronic pain levels: the Tromsø Study 2015 to 2016.
Pain Sep, 2022 | Pubmed ID: 36083173
Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning.
Biomedical optics express Oct, 2022 | Pubmed ID: 36425635
UiT The Arctic University of Norway
Abhinanda Ranjit Punnakkal1,
Gustav Godtliebsen2,
Ayush Somani1,
Sebastian Andres Acuna Maldonado3,
Åsa Birna Birgisdottir2,4,
Dilip K. Prasad1,
Alexander Horsch1,
Krishna Agarwal3
1Department of Computer Science, UiT The Arctic University of Norway,
2Department of Clinical Medicine, UiT The Arctic University of Norway,
3Department of Physics and Technology, UiT The Arctic University of Norway,
4Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway
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