This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (511) Registered Report (579) mHealth for Data Collection and Research (981) Tools, Programs and Algorithms (275) Fitness Trackers and Smart Pedometers/Accelerometers (571) Wearable Devices and Sensors (903) Formative Evaluation of Digital Health Interventions (2491) Mobile Health (mhealth) (2982) Implantable Wearable Devices and Body Extensions; Smart Prostheses (5) Wearable Devices and Sensors (26)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50035, first published .
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

Authors of this article:

Felix Kluge1 Author Orcid Image ;   Yonatan E Brand2 Author Orcid Image ;   M Encarna Micó-Amigo3 Author Orcid Image ;   Stefano Bertuletti4 Author Orcid Image ;   Ilaria D'Ascanio5 Author Orcid Image ;   Eran Gazit6 Author Orcid Image ;   Tecla Bonci7 Author Orcid Image ;   Cameron Kirk3 Author Orcid Image ;   Arne Küderle8 Author Orcid Image ;   Luca Palmerini5, 9 Author Orcid Image ;   Anisoara Paraschiv-Ionescu10 Author Orcid Image ;   Francesca Salis4 Author Orcid Image ;   Abolfazl Soltani10 Author Orcid Image ;   Martin Ullrich8 Author Orcid Image ;   Lisa Alcock3, 11 Author Orcid Image ;   Kamiar Aminian10 Author Orcid Image ;   Clemens Becker12, 13 Author Orcid Image ;   Philip Brown14 Author Orcid Image ;   Joren Buekers15, 16, 17 Author Orcid Image ;   Anne-Elie Carsin15, 16, 17 Author Orcid Image ;   Marco Caruso4 Author Orcid Image ;   Brian Caulfield18, 19 Author Orcid Image ;   Andrea Cereatti4 Author Orcid Image ;   Lorenzo Chiari5, 9 Author Orcid Image ;   Carlos Echevarria3, 20 Author Orcid Image ;   Bjoern Eskofier8 Author Orcid Image ;   Jordi Evers21 Author Orcid Image ;   Judith Garcia-Aymerich15, 16, 17 Author Orcid Image ;   Tilo Hache1 Author Orcid Image ;   Clint Hansen22 Author Orcid Image ;   Jeffrey M Hausdorff6, 23, 24, 25, 26 Author Orcid Image ;   Hugo Hiden14 Author Orcid Image ;   Emily Hume27 Author Orcid Image ;   Alison Keogh18, 19 Author Orcid Image ;   Sarah Koch15, 16, 17 Author Orcid Image ;   Walter Maetzler22 Author Orcid Image ;   Dimitrios Megaritis27 Author Orcid Image ;   Martijn Niessen21 Author Orcid Image ;   Or Perlman2, 23 Author Orcid Image ;   Lars Schwickert12 Author Orcid Image ;   Kirsty Scott7 Author Orcid Image ;   Basil Sharrack28, 29 Author Orcid Image ;   David Singleton18, 19 Author Orcid Image ;   Beatrix Vereijken30 Author Orcid Image ;   Ioannis Vogiatzis27 Author Orcid Image ;   Alison Yarnall3, 11, 14 Author Orcid Image ;   Lynn Rochester3, 11, 14 Author Orcid Image ;   Claudia Mazzà7 Author Orcid Image ;   Silvia Del Din3, 11 Author Orcid Image ;   Arne Mueller1 Author Orcid Image
Article Authors Cited by (3) Tweetations (10) Metrics

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