ePrints

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

Lookup NU author(s): Dr Kirsty ScottORCiD, Dr Lisa AlcockORCiD, Philip Brown, Dr Silvia Del DinORCiD, Dr Cameron KirkORCiD, Dr Encarna Mico Amigo, Isabel Neatrour, Professor Alison Yarnall, Professor Lynn RochesterORCiD

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Salis F, Bertuletti S, Bonci T, Caruso M, Scott K, Alcock L, Buckley E, Gazit E, Hansen C, Schwickert L, Aminian K, Becker C, Brown P, Carsin A, Caulfield B, Chiari L, D'ascanio I, Del Din S, Eskofier BM, Garcia-Aymerich J, Hausdorff JM, Hume EC, Kirk C, Kluge F, Koch S, Kuederle A, Maetzler W, Micó-Amigo EM, Mueller A, Neatrour I, Paraschiv-Ionescu A, Palmerini L, Yarnall AJ, Rochester L, Sharrack B, Singleton D, Vereijken B, Vogiatzis I, Della Croce U, Mazzà C, Cereatti A

Publication type: Article

Publication status: Published

Journal: Frontiers in Bioengineering and Biotechnology

Year: 2023

Volume: 11

Online publication date: 21/04/2023

Acceptance date: 30/03/2023

Date deposited: 03/05/2023

ISSN (electronic): 2296-4185

Publisher: Frontiers

URL: https://doi.org/10.3389/fbioe.2023.1143248

DOI: 10.3389/fbioe.2023.1143248

Data Access Statement: The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: Data sample INDIP Validation Paper [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7802795

Altmetrics

Funding

Share