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

doi:10.3233/978-1-61499-761-0-193

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health
Editors	Bernd Blobel, William Goossen
Publisher	IOS Press BV
Pages	193-197
Number of pages	5
ISBN (Electronic)	9781614997603
DOIs	https://doi.org/10.3233/978-1-61499-761-0-193
Publication status	Published - 2017
Externally published	Yes
Event	14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017 - Eindhoven, Netherlands Duration: 14 May 2017 → 16 May 2017

Publication series

Name	Studies in Health Technology and Informatics
Volume	237
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017
Country/Territory	Netherlands
City	Eindhoven
Period	14/05/17 → 16/05/17

Keywords

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

Access to Document

10.3233/978-1-61499-761-0-193

Cite this

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. (2017). Real-time constant monitoring of fall risk index by means of fully-wireless insoles. In B. Blobel, & W. Goossen (Eds.), pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health (pp. 193-197). (Studies in Health Technology and Informatics; Vol. 237). IOS Press BV. https://doi.org/10.3233/978-1-61499-761-0-193

Arndt, Holger ; Burkard, Stefan ; Talavera, Guillermo et al. / Real-time constant monitoring of fall risk index by means of fully-wireless insoles. pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health. editor / Bernd Blobel ; William Goossen. IOS Press BV, 2017. pp. 193-197 (Studies in Health Technology and Informatics).

@inproceedings{a83c85ad2b734f0bb3feb8336918a076,

title = "Real-time constant monitoring of fall risk index by means of fully-wireless insoles",

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.",

keywords = "Fall risk, Fall Risk Index (FRI), Gait analysis, Wireless insole",

author = "Holger Arndt and Stefan Burkard and Guillermo Talavera and Joan Garcia and David Castells and Marc Codina and Jeffrey Hausdorff and Anat Mirelman and Richard Harte and Monica Casey and Liam Glynn and {Di Rosa}, Mirko and Lorena Rossi and Vera Stara and John R{\"o}sevall and Cristina Rusu and Carlos Carenas and Fanny Breuil and Elisenda Reixach and Jordi Carrabina",

note = "Publisher Copyright: {\textcopyright} 2017 The authors and IOS Press.; 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017 ; Conference date: 14-05-2017 Through 16-05-2017",

year = "2017",

doi = "10.3233/978-1-61499-761-0-193",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press BV",

pages = "193--197",

editor = "Bernd Blobel and William Goossen",

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}

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 2017, Real-time constant monitoring of fall risk index by means of fully-wireless insoles. in B Blobel & W Goossen (eds), pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health. Studies in Health Technology and Informatics, vol. 237, IOS Press BV, pp. 193-197, 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2017, Eindhoven, Netherlands, 14/05/17. https://doi.org/10.3233/978-1-61499-761-0-193

Real-time constant monitoring of fall risk index by means of fully-wireless insoles. / Arndt, Holger; Burkard, Stefan; Talavera, Guillermo et al.
pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health. ed. / Bernd Blobel; William Goossen. IOS Press BV, 2017. p. 193-197 (Studies in Health Technology and Informatics; Vol. 237).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-time constant monitoring of fall risk index by means of fully-wireless insoles

AU - Arndt, Holger

AU - Burkard, Stefan

AU - Talavera, Guillermo

AU - Garcia, Joan

AU - Castells, David

AU - Codina, Marc

AU - Hausdorff, Jeffrey

AU - Mirelman, Anat

AU - Harte, Richard

AU - Casey, Monica

AU - Glynn, Liam

AU - Di Rosa, Mirko

AU - Rossi, Lorena

AU - Stara, Vera

AU - Rösevall, John

AU - Rusu, Cristina

AU - Carenas, Carlos

AU - Breuil, Fanny

AU - Reixach, Elisenda

AU - Carrabina, Jordi

PY - 2017

Y1 - 2017

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. 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.

AB - 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.

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ER -

Arndt H, Burkard S, Talavera G, Garcia J, Castells D, Codina M et al. Real-time constant monitoring of fall risk index by means of fully-wireless insoles. In Blobel B, Goossen W, editors, pHealth 2017 - Proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health. IOS Press BV. 2017. p. 193-197. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-761-0-193

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

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Keywords

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