Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50035, first published .

Journals

  1. 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
  2. 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
  3. 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
  4. Rodríguez-Martín D, Pérez-López C. Commercial symptom monitoring devices in Parkinson’s disease: benefits, limitations, and trends. Frontiers in Neurology 2024;15 View
  5. Marcianò V, Cereatti A, Bertuletti S, Bonci T, Alcock L, Gazit E, Ireson N, Bevilacqua A, Mazzà C, Ciravegna F, Del Din S, Hausdorff J, Ifrim G, Caulfield B, Caruso M. Discriminating Between Indoor and Outdoor Environments During Daily Living Activities Using Local Magnetic Field Characteristics and Machine Learning Techniques. IEEE Sensors Journal 2025;25(1):1507 View
  6. Caroppo A, Manni A, Rescio G, Carluccio A, Siciliano P, Leone A. Movement Disorders and Smart Wrist Devices: A Comprehensive Study. Sensors 2025;25(1):266 View
  7. Tasca P, Salis F, Rosati S, Balestra G, Mazzà C, Cereatti A. Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2025;33:858 View
  8. Post E, Laarhoven T, Raykov Y, Little M, Nonnekes J, Heskes T, Bloem B, Evers L. Quantifying arm swing in Parkinson’s disease: a method accounting for arm activities during free-living gait. Journal of NeuroEngineering and Rehabilitation 2025;22(1) View
  9. Keppler A, Zaccaria R, Weigert M, Keppler L, Böcker W, Neuerburg C, Schniepp R, Fürmetz J. Wearable technology for mobility measurement in orthopedics and traumatology: a comparison of commercially available systems. Archives of Orthopaedic and Trauma Surgery 2025;145(1) View