Citation

Arndt H, Burkard S, Talavera G, Garcia J, Castells D, Codina M, Hausdorff J, Mirelman A, Harte R, Casey M, Glynn L, Di Rosa M, Rossi L, Stara V, Rösevall J, Rusu C, Carenas C, Breuil F, Reixach E, Carrabina J. Stud. Health Technol. Inform. 2017; 237: 193-197.

Affiliation

Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.

Copyright

(Copyright © 2017, IOS Press)

DOI

unavailable

PMID

28479567

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.

Language: en

Keywords

Fall Risk Index (FRI); Fall risk; Gait Analysis; Wireless insole