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Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements.
Hellmers, Sandra; Izadpanah, Babak; Dasenbrock, Lena; Diekmann, Rebecca; Bauer, Jürgen M; Hein, Andreas; Fudickar, Sebastian.
Afiliación
  • Hellmers S; Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. sandra.hellmers@uni-oldenburg.de.
  • Izadpanah B; Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. babak_izadpanah83@yahoo.com.
  • Dasenbrock L; Peter L. Reichertz Institute for Medical Informatics, 30625 Hannover, Germany. lena.dasenbrock@plri.de.
  • Diekmann R; Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. rebecca.diekmann@uni-oldenburg.de.
  • Bauer JM; Center for Geriatric Medicine, University Heidelberg, 69117 Heidelberg, Germany. Juergen.Bauer@bethanien-heidelberg.de.
  • Hein A; Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. andreas.hein@uni-oldenburg.de.
  • Fudickar S; Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany. sebastian.fudickar@uni-oldenburg.de.
Sensors (Basel) ; 18(10)2018 Oct 02.
Article en En | MEDLINE | ID: mdl-30279374
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: Alemania