Real-time constant monitoring of fall risk index by means of fully-wireless insoles

Holger Arndt, Stefan Burkard, Guillermo Talavera, Joan Garcia, David Castells, Marc Codina, Jeffrey Hausdorff, Anat Mirelman, Richard Harte, Monica Casey, Liam Glynn, Mirko Di Rosa, Lorena Rossi, Vera Stara, John Rösevall, Cristina Rusu, Carlos Carenas, Fanny Breuil, Elisenda Reixach, Jordi Carrabina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Constant monitoring of gait in real life conditions is considered the best way to assess Fall Risk Index (FRI) since most falls happen out of the ideal conditions in which clinicians are currently analyzing the patient's behavior. This paper presents the WIISEL platform and results obtained through the use of the first full-wireless insole devices that can measure almost all gait related data directly on the feet (not in the upper part of the body as most existing wearable solutions). The platform consists of a complete tool-chain: insoles, smartphone & app, server & analysis tool, FRI estimation and user access. Results are obtained by combining parameters in a personalized way to build individual fall risk index assessed by experts with the help of data analytics. New FRI has been compared with standards that validate the quality of its prediction in a statistically significant way. That qualitatively relevant information is being provided to the platform users, being either end-users/patients, relatives or caregivers and the related clinicians to ideally assess about their long term evolution.

Original languageEnglish
Title of host publicationpHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health
EditorsBernd Blobel, William Goossen
PublisherIOS Press BV
Pages193-197
Number of pages5
ISBN (Electronic)9781614997603
DOIs
StatePublished - 1 Jan 2017
Externally publishedYes
Event14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017 - Eindhoven, Netherlands
Duration: 14 May 201716 May 2017

Publication series

NameStudies in Health Technology and Informatics
Volume237
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017
Country/TerritoryNetherlands
CityEindhoven
Period14/05/1716/05/17

Keywords

  • Fall Risk Index (FRI)
  • Fall risk
  • Gait analysis
  • Wireless insole

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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