Skip to content
VuFind
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
    • Sámegiella
    • Монгол
Advanced
  • Correction: Assessing real-wor...
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Permanent link
Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Bibliographic Details
Main Authors: M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, Martin Ullrich, Cameron Kirk, Abolfazl Soltani, Arne Küderle, Eran Gazit, Francesca Salis, Lisa Alcock, Kamiar Aminian, Clemens Becker, Stefano Bertuletti, Philip Brown, Ellen Buckley, Alma Cantu, Anne-Elie Carsin, Marco Caruso, Brian Caulfield, Andrea Cereatti, Lorenzo Chiari, Ilaria D’Ascanio, Bjoern Eskofier, Sara Fernstad, Marcel Froehlich, Judith Garcia-Aymerich, Clint Hansen, Jeffrey M. Hausdorff, Hugo Hiden, Emily Hume, Alison Keogh, Felix Kluge, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Mueller, Martijn Niessen, Luca Palmerini, Lars Schwickert, Kirsty Scott, Basil Sharrack, Henrik Sillén, David Singleton, Beatrix Vereijken, Ioannis Vogiatzis, Alison J. Yarnall, Lynn Rochester, Claudia Mazzà, Silvia Del Din, for the Mobilise-D consortium
Format: Article
Language:English
Published: BMC 2024-05-01
Series:Journal of NeuroEngineering and Rehabilitation
Online Access:https://doi.org/10.1186/s12984-024-01361-6
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

https://doi.org/10.1186/s12984-024-01361-6

Similar Items

  • Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
    by: M. Encarna Micó-Amigo, et al.
    Published: (2023-06-01)
  • Author Correction: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
    by: Cameron Kirk, et al.
    Published: (2024-11-01)
  • Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
    by: Cameron Kirk, et al.
    Published: (2024-01-01)
  • Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
    by: Robbin Romijnders, et al.
    Published: (2023-10-01)
  • Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
    by: Felix Kluge, et al.
    Published: (2024-05-01)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs