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Development of a lumbar EMG-based coactivation index for the assessment of complex dynamic tasks.
Le, Peter; Aurand, Alexander; Walter, Benjamin A; Best, Thomas M; Khan, Safdar N; Mendel, Ehud; Marras, William S.
Afiliação
  • Le P; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
  • Aurand A; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
  • Walter BA; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
  • Best TM; b UHealth Sports Performance and Wellness Institute, University of Miami , Miami , FL , USA.
  • Khan SN; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
  • Mendel E; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
  • Marras WS; a Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering , The Ohio State University , Columbus , OH , USA.
Ergonomics ; 61(3): 381-389, 2018 Mar.
Article em En | MEDLINE | ID: mdl-28743218
The objective of this study was to develop and test an EMG-based coactivation index and compare it to a coactivation index defined by a biologically assisted lumbar spine model to differentiate between tasks. The purpose was to provide a universal approach to assess coactivation of a multi-muscle system when a computational model is not accessible. The EMG-based index developed utilised anthropometric-defined muscle characteristics driven by torso kinematics and EMG. Muscles were classified as agonists/antagonists based upon 'simulated' moments of the muscles relative to the total 'simulated' moment. Different tasks were used to test the range of the index including lifting, pushing and Valsalva. Results showed that the EMG-based index was comparable to the index defined by a biologically assisted model (r2 = 0.78). Overall, the EMG-based index provides a universal, usable method to assess the neuromuscular effort associated with coactivation for complex dynamic tasks when the benefit of a biomechanical model is not available. Practitioner Summary: A universal coactivation index for the lumbar spine was developed to assess complex dynamic tasks. This method was validated relative to a model-based index for use when a high-end computational model is not available. Its simplicity allows for fewer inputs and usability for assessment of task ergonomics and rehabilitation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Músculo Esquelético / Modelos Biológicos / Contração Muscular Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Músculo Esquelético / Modelos Biológicos / Contração Muscular Idioma: En Ano de publicação: 2018 Tipo de documento: Article