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A computational method for estimating trunk muscle activations during gait using lower extremity muscle synergies.
Li, Geng; Ao, Di; Vega, Marleny M; Shourijeh, Mohammad S; Zandiyeh, Payam; Chang, Shuo-Hsiu; Lewis, Valerae O; Dunbar, Nicholas J; Babazadeh-Naseri, Ata; Baines, Andrew J; Fregly, Benjamin J.
Afiliación
  • Li G; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Ao D; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Vega MM; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Shourijeh MS; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Zandiyeh P; Biomotion Laboratory, Department of Orthopaedic Surgery, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Chang SH; Department of Physical Medicine and Rehabilitation, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Lewis VO; Neurorecovery Research Center, TIRR Memorial Hermann, Houston, TX, United States.
  • Dunbar NJ; Department of Orthopaedic Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Babazadeh-Naseri A; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Baines AJ; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
  • Fregly BJ; Rice Computational Neuromechanics Laboratory, Department of Mechanical Engineering, Rice University, Houston, TX, United States.
Front Bioeng Biotechnol ; 10: 964359, 2022.
Article en En | MEDLINE | ID: mdl-36582837

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos