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Real-Time Constant Monitoring of Fall Risk Index by Means of Fully-Wireless Insoles.
Arndt, Holger; Burkard, Stefan; Talavera, Guillermo; Garcia, Joan; Castells, David; Codina, Marc; Hausdorff, Jeffrey; Mirelman, Anat; Harte, Richard; Casey, Monica; Glynn, Liam; Di Rosa, Mirko; Rossi, Lorena; Stara, Vera; Rösevall, John; Rusu, Cristina; Carenas, Carlos; Breuil, Fanny; Reixach, Elisenda; Carrabina, Jordi.
Afiliação
  • Arndt H; Spring Techno GmbH & Co. KG, Bremen Germany.
  • Burkard S; Spring Techno GmbH & Co. KG, Bremen Germany.
  • Talavera G; Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.
  • Garcia J; Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.
  • Castells D; Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.
  • Codina M; Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.
  • Hausdorff J; Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Mirelman A; Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Harte R; National University of Ireland, Galway, Ireland.
  • Casey M; National University of Ireland, Galway, Ireland.
  • Glynn L; National University of Ireland, Galway, Ireland.
  • Di Rosa M; Istituto Nazionale Riposo e Cura per Anziani, Ancona,Italy.
  • Rossi L; Istituto Nazionale Riposo e Cura per Anziani, Ancona,Italy.
  • Stara V; Istituto Nazionale Riposo e Cura per Anziani, Ancona,Italy.
  • Rösevall J; Acreo Swedish ICT AB, Sensor Systems Dpt., Gothenburg, Sweden.
  • Rusu C; Acreo Swedish ICT AB, Sensor Systems Dpt., Gothenburg, Sweden.
  • Carenas C; EURECAT, Mataró, Spain.
  • Breuil F; EURECAT, Mataró, Spain.
  • Reixach E; EURECAT, Mataró, Spain.
  • Carrabina J; Universitat Autònoma de Barcelona, CEPHIS, Barcelona, Spain.
Stud Health Technol Inform ; 237: 193-197, 2017.
Article em En | MEDLINE | ID: mdl-28479567
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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Base de dados: MEDLINE Assunto principal: Sapatos / Acidentes por Quedas / Medição de Risco / Dispositivos Eletrônicos Vestíveis / Marcha Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Sapatos / Acidentes por Quedas / Medição de Risco / Dispositivos Eletrônicos Vestíveis / Marcha Idioma: En Ano de publicação: 2017 Tipo de documento: Article