Literature DB >> 21968792

Predictor-based compensation for electromechanical delay during neuromuscular electrical stimulation.

Nitin Sharma1, Chris M Gregory, Warren E Dixon.   

Abstract

Electromechanical delay (EMD) is a biological artifact that arises due to a time lag between electrical excitation and tension development in a muscle. EMD is known to cause degraded performance and instability during neuromuscular electrical stimulation (NMES). Compensating for such input delay is complicated by the unknown nonlinear muscle force-length and muscle force-velocity relationships. This paper provides control development and a mathematical stability analysis of a NMES controller with a predictive term that actively accounts for EMD. The results are obtained through the development of a novel predictor-type method to address the delay in the voltage input to the muscle. Lyapunov-Krasovskii functionals are used within a Lyapunov-based stability analysis to prove semi-global uniformly ultimately bounded tracking. Experiments on able-bodied volunteers illustrate the performance and robustness of the developed controller during a leg extension trajectory following task.

Mesh:

Year:  2011        PMID: 21968792     DOI: 10.1109/TNSRE.2011.2166405

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  11 in total

1.  Using Person-Specific Muscle Fatigue Characteristics to Optimally Allocate Control in a Hybrid Exoskeleton - Preliminary Results.

Authors:  Xuefeng Bao; Vahidreza Molazadeh; Albert Dodson; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-03-02

2.  Bilateral Control of Functional Electrical Stimulation and Robotics-based Telerehabilitation.

Authors:  Naji Alibeji; Brad E Dicianno; Nitin Sharma
Journal:  Int J Intell Robot Appl       Date:  2017-01-04

3.  An Iterative Learning Controller for a Switched Cooperative Allocation Strategy during Sit-to-Stand Tasks with a Hybrid Exoskeleton.

Authors:  Vahidreza Molazadeh; Qiang Zhang; Xuefeng Bao; Nitin Sharma
Journal:  IEEE Trans Control Syst Technol       Date:  2021-07-05       Impact factor: 5.418

4.  A Tube-based Model Predictive Control Method to Regulate a Knee Joint with Functional Electrical Stimulation and Electric Motor Assist.

Authors:  Xuefeng Bao; Zhiyu Sheng; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Control Syst Technol       Date:  2020-11-16       Impact factor: 5.418

5.  Robust Control of the Human Trunk Posture Using Functional Neuromuscular Stimulation: A Simulation Study.

Authors:  Xuefeng Bao; Musa L Audu; Aidan R Friederich; Ronald J Triolo
Journal:  J Biomech Eng       Date:  2022-09-01       Impact factor: 1.899

6.  A Nonlinear Dynamics-Based Estimator for Functional Electrical Stimulation: Preliminary Results From Lower-Leg Extension Experiments.

Authors:  Marcus Allen; Qiang Zhong; Nicholas Kirsch; Ashwin Dani; William W Clark; Nitin Sharma
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-09-07       Impact factor: 3.802

7.  A Modified Dynamic Surface Controller for Delayed Neuromuscular Electrical Stimulation.

Authors:  Naji Alibeji; Nicholas Kirsch; Brad E Dicianno; Nitin Sharma
Journal:  IEEE ASME Trans Mechatron       Date:  2017-05-16       Impact factor: 5.303

8.  A closed-loop self-righting controller for seated balance in the coronal and diagonal planes following spinal cord injury.

Authors:  Akhil Bheemreddy; Lisa M Lombardo; Michael E Miller; Kevin M Foglyano; Stephanie Nogan-Bailey; Ronald J Triolo; Musa L Audu
Journal:  Med Eng Phys       Date:  2020-10-15       Impact factor: 2.356

9.  A neuroprosthesis for control of seated balance after spinal cord injury.

Authors:  Musa L Audu; Lisa M Lombardo; John R Schnellenberger; Kevin M Foglyano; Michael E Miller; Ronald J Triolo
Journal:  J Neuroeng Rehabil       Date:  2015-01-21       Impact factor: 4.262

10.  Control of Dynamic Limb Motion Using Fatigue-Resistant Asynchronous Intrafascicular Multi-Electrode Stimulation.

Authors:  Mitchell A Frankel; V John Mathews; Gregory A Clark; Richard A Normann; Sanford G Meek
Journal:  Front Neurosci       Date:  2016-09-13       Impact factor: 4.677

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