TY  - JOUR
PY  - 2017//
TI  - Real-time constant monitoring of Fall Risk Index by means of fully-wireless insoles
JO  - Studies in health technology and informatics
A1  - Arndt, Holger
A1  - Burkard, Stefan
A1  - Talavera, Guillermo
A1  - Garcia, Joan
A1  - Castells, David
A1  - Codina, Marc
A1  - Hausdorff, Jeffrey
A1  - Mirelman, Anat
A1  - Harte, Richard
A1  - Casey, Monica
A1  - Glynn, Liam
A1  - Di Rosa, Mirko
A1  - Rossi, Lorena
A1  - Stara, Vera
A1  - Rösevall, John
A1  - Rusu, Cristina
A1  - Carenas, Carlos
A1  - Breuil, Fanny
A1  - Reixach, Elisenda
A1  - Carrabina, Jordi
SP  - 193
EP  - 197
VL  - 237
IS  - 
N2  - 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. <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 0926-9630
UR  - http://dx.doi.org/
ID  - ref1
ER  -