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Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models.
Tan, Jay-Shian; Tippaya, Sawitchaya; Binnie, Tara; Davey, Paul; Napier, Kathryn; Caneiro, J P; Kent, Peter; Smith, Anne; O'Sullivan, Peter; Campbell, Amity.
  • Tan JS; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Tippaya S; Curtin Institute for Computation, Curtin University, Perth, WA 6845, Australia.
  • Binnie T; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Davey P; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Napier K; Curtin Institute for Computation, Curtin University, Perth, WA 6845, Australia.
  • Caneiro JP; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Kent P; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Smith A; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • O'Sullivan P; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
  • Campbell A; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA 6845, Australia.
Sensors (Basel) ; 22(2)2022 Jan 07.
Article en En | MEDLINE | ID: mdl-35062408
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Osteoartritis de la Rodilla / Dispositivos Electrónicos Vestibles Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Osteoartritis de la Rodilla / Dispositivos Electrónicos Vestibles Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article