Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/50035, first published
.
Journals
- Brand Y, Kluge F, Palmerini L, Paraschiv-Ionescu A, Becker C, Cereatti A, Maetzler W, Sharrack B, Vereijken B, Yarnall A, Rochester L, Del Din S, Muller A, Buchman A, Hausdorff J, Perlman O. Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults. Scientific Reports 2024;14(1) View
- Decker J, Boborzi L, Schniepp R, Jahn K, Wuehr M. Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning. Sensors 2024;24(19):6442 View
- Pohlmann P, Glienke M, Ehrmann C, Gratzke C, Miernik A, Schoeb D. How does urology work? Evaluation of activity trackers in the assessment of workload and stress burden among employees in the Department of Urology of a German University Hospital: A prospective pilot study. DIGITAL HEALTH 2024;10 View