Literature DB >> 32185611

Flatness of musculoskeletal systems under functional electrical stimulation.

Mourad Benoussaad1, Frédéric Rotella2, Imen Chaibi3.   

Abstract

Control of musculoskeletal yy system through functional electrical stimulation (FES) still remains a complex and a challenging process. Indeed, the used musculoskeletal models are often complex and highly nonlinear, which makes their control and inversion (getting appropriate inputs from a desired outputs) very difficult. On the other hand, the system flatness has been proved to be an efficient method for nonlinear system control, since in this technique, the nonlinear system can be controlled more easily through its flat outputs. Therefore, it is very promising to apply this control technique on the musculoskeletal system, to overcome its problems, which has never been explored so far. The aim of this work is to explore the flatness technique and its feasibility on the knee joint musculoskeletal system in dynamic condition, controlled by electrically stimulated quadriceps muscle. A mathematical proof developed in the current work highlights that the two-input musculoskeletal system is flat, where two flat outputs are the muscle stiffness and the knee joint angle. It also shows that the single-input musculoskeletal system is not flat. These results are crucial for flatness-based control of musculoskeletal systems, since this model in literature deals with a single input. Simulation results in open-loop control of two-input system highlight the consistency of the mathematical proof, and the applicability of this technique on the musculoskeletal system, where its simulated outputs fit perfectly with the desired ones if the model is considered perfect. When, one parameter of the system is not well estimated (10% of error), simulations show limits of open-loop control, with a joint angle rms deviation of 4%; hence, the closed-loop control should be considered. Graphical Abstract Flatness Study and control of Musculoskeletal systems.

Entities:  

Keywords:  Flatness of nonlinear system; Functional electrical stimulation (FES); Movement rehabilitation; Musculoskeletal modeling

Mesh:

Year:  2020        PMID: 32185611     DOI: 10.1007/s11517-020-02139-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  12 in total

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Journal:  IEEE Trans Cybern       Date:  2015-07-28       Impact factor: 11.448

3.  An implantable neuroprosthesis for standing and walking in paraplegia: 5-year patient follow-up.

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Journal:  J Neural Eng       Date:  2006-09-07       Impact factor: 5.379

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Authors:  Hassan El Makssoud; David Guiraud; Philippe Poignet; Mitsuhiro Hayashibe; Pierre-Brice Wieber; Ken Yoshida; Christine Azevedo-Coste
Journal:  Biol Cybern       Date:  2011-07-15       Impact factor: 2.086

Review 5.  Functional electrical stimulation improves activity after stroke: a systematic review with meta-analysis.

Authors:  Owen A Howlett; Natasha A Lannin; Louise Ada; Carol McKinstry
Journal:  Arch Phys Med Rehabil       Date:  2015-01-26       Impact factor: 3.966

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7.  Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

8.  Experimental parameter identification of a multi-scale musculoskeletal model controlled by electrical stimulation: application to patients with spinal cord injury.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2013-02-05       Impact factor: 2.602

9.  Speed-adaptive control of functional electrical stimulation for dropfoot correction.

Authors:  Guangtao Chen; Le Ma; Rong Song; Le Li; Xiaoyun Wang; Kaiyu Tong
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

10.  Real-time estimation of FES-induced joint torque with evoked EMG : Application to spinal cord injured patients.

Authors:  Zhan Li; David Guiraud; David Andreu; Mourad Benoussaad; Charles Fattal; Mitsuhiro Hayashibe
Journal:  J Neuroeng Rehabil       Date:  2016-06-22       Impact factor: 4.262

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