دورية أكاديمية

Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study

التفاصيل البيبلوغرافية
العنوان: Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study
المؤلفون: Nathaniel S. Makowski, Marshaun N. Fitzpatrick, Ronald J. Triolo, Ryan-David Reyes, Roger D. Quinn, Musa Audu
المصدر: Bioengineering; Volume 9; Issue 2; Pages: 71
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2022
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: electrical stimulation, exoskeleton, neuroprosthesis, cooperative control, musculoskeletal model
جغرافية الموضوع: agris
الوصف: (1) Background: An iterative learning control (ILC) strategy was developed for a “Muscle First” Motor-Assisted Hybrid Neuroprosthesis (MAHNP). The MAHNP combines a backdrivable exoskeletal brace with neural stimulation technology to enable persons with paraplegia due to spinal cord injury (SCI) to execute ambulatory motions and walk upright. (2) Methods: The ILC strategy was developed to swing the legs in a biologically inspired ballistic fashion. It maximizes muscular recruitment and activates the motorized exoskeletal bracing to assist the motion as needed. The control algorithm was tested using an anatomically realistic three-dimensional musculoskeletal model of the lower leg and pelvis suitably modified to account for exoskeletal inertia. The model was developed and tested with the OpenSim biomechanical modeling suite. (3) Results: Preliminary data demonstrate the efficacy of the controller in swing-leg simulations and its ability to learn to balance muscular and motor contributions to improve performance and accomplish consistent stepping. In particular, the controller took 15 iterations to achieve the desired outcome with 0.3% error.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: https://dx.doi.org/10.3390/bioengineering9020071Test
DOI: 10.3390/bioengineering9020071
الإتاحة: https://doi.org/10.3390/bioengineering9020071Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.1DFC5CBA
قاعدة البيانات: BASE