Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults - Brand, Yonatan E.; Kluge, Felix; Palmerini, Luca; Paraschiv-Ionescu, Anisoara; Becker, Clemens; Cereatti, Andrea; Maetzler, Walter; Sharrack, Basil; Vereijken, Beatrix; Yarnall, Alison J.; Rochester, Lynn; Del Din, Silvia; et al. (Scientific reports, 2024)
Gesehen am 10.03.2025