Gait analysis platform for measuring surgery recovery

Marc Codina*, Manuel Navarrete, Ashkan Rezaee, David Castells-Rufas, Maria Jesús Torrelles, Stefan Burkard, Holger Arndt, Sabine Drevet, Medhi Boudissa, Jerome Tonetti, Isabelle Marque, Alexandre Moreau-Gaudry, Armand Castillejo, Jordi Carrabina

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

Abstract

Gait analysis has evolved significantly during last years due to the great development of the Medical Internet of Things (MIoT) platforms that allow an easy integration of sensors (inertial, magnetic and pressure in our case) to the complex analytics required to compute, not only relevant parameters, but also meaningful indexes. In this paper, we extend a previous development based on a fully wireless pair of insoles by implementing an updated version with more reliable and user-friendly devices, smartphone app and web front-end and back-end. We also extend previous work focused on fall analysis (with the corresponding fall risk index or FRI) with the proposal of a new surgery recovery index (SRI) to account for the individual speed recovery speed that can be measured either at clinical facilities or at home in a telemedicine environment or while doing daily life activities. This new index can be personalized for different types of surgeries that affect gait such as hip, knee, etc. This paper presents the case of hip recovery and is built on top of the clinical standard SPPB test and allows obtaining quantitative parameters directly from the sensors.

Original languageEnglish
Title of host publicationpHealth 2021 - Proceedings of the 18th International Conference on Wearable Micro and Nano Technologies for Personalized Health
EditorsBernd Blobel, Mauro Giacomini
Pages199-204
Number of pages6
ISBN (Electronic)9781643682266
DOIs
Publication statusPublished - 27 Oct 2021

Publication series

NameStudies in Health Technology and Informatics
Volume285
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Gait Analysis
  • Hip surgery recovery
  • Insoles
  • Medical Internet-of-Things
  • Recovery Index

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