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Communication Dans Un Congrès Année : 2016

Integration of High density sEMG and advanced biomechanical model for the study of muscle finger force

Résumé

The understanding of muscle coordination in human finger is essential for many application fields, such as muscle computer interface, movement simulation and surgeries. Biomechanical modeling is widely used to characterize the force sharing across the muscles. However, the models result in ill-posed problems since the number of muscles crossing the joints exceeds the number of degrees of freedom of these joints. To solve this problem, one advanced method includes the intramuscular electromyographical (EMG) signal as additional inequality constraints into the optimization procedure. This method is attractive, but it presents some limitations mainly due to the great spatial selectivity of the recordings. Finally, since it is invasive, this technique is not suitable for daily life and sport applications. We propose a new finger biomechanical modeland the introduction of high density surface EMG (HD-sEMG) into the optimization procedure.
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Dates et versions

hal-01974204 , version 1 (08-01-2019)

Identifiants

  • HAL Id : hal-01974204 , version 1

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Franck Quaine, Anton Dogadov, Christine Serviere, Nicolo Celadon, Marco Gazzoni. Integration of High density sEMG and advanced biomechanical model for the study of muscle finger force. BioSMART 2016 - International Conference on Bio-engineering for Smart Technologies, Dec 2016, Dubaï, United Arab Emirates. ⟨hal-01974204⟩
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