Literature DB >> 22151722

Using mathematical models and advanced control systems techniques to enhance neuroprosthesis function.

J J Abbas1, R Riener.   

Abstract

Systems that use electrical stimulation to activate paralyzed muscles, called "neuroprostheses", have restored important functional capabilities to many people with neurologic disorders such as spinal cord injury or stroke. However, the clinical benefits derived from neuroprostheses have been limited by the quality of control of posture and movement that has been achieved. Over the past few decades, engineers have used mathematical models and control systems technology to develop functional neuromuscular stimulation (FNS) control systems that show promise in the laboratory, but these have not yet been incorporated into practical solutions for clinical problems. This article briefly reviews several of the complicating factors in controlling FNS systems and describes the potential roles of biomechanical modeling and advanced control system technology. Three important challenges in FNS control systems research and development are identified: 1) to obtain an improved understanding of the biomechanical system that we are trying to control and how it is controlled by the intact neural system, 2) to develop new control system technology with a particular focus on strategies that mimic those used by biologic systems, and 3) to integrate the knowledge and technologies into useful systems that meet the needs of neuroprosthesis users. The outlook for the future includes many interesting problems; yet more importantly, it includes relevant clinical benefits to be gained through the application of biomechanical models and advanced control systems techniques in neuroprostheses.

Entities:  

Year:  2001        PMID: 22151722     DOI: 10.1046/j.1525-1403.2001.00187.x

Source DB:  PubMed          Journal:  Neuromodulation        ISSN: 1094-7159


  8 in total

1.  A three-dimensional model of the rat hindlimb: musculoskeletal geometry and muscle moment arms.

Authors:  Will L Johnson; Devin L Jindrich; Roland R Roy; V Reggie Edgerton
Journal:  J Biomech       Date:  2007-12-03       Impact factor: 2.712

2.  Mathematical model that predicts the force-intensity and force-frequency relationships after spinal cord injuries.

Authors:  Jun Ding; Li-Wei Chou; Trisha M Kesar; Samuel C K Lee; Therese E Johnston; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2007-08       Impact factor: 3.217

3.  A predictive mathematical model of muscle forces for children with cerebral palsy.

Authors:  Samuel C K Lee; Jun Ding; Laura A Prosser; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  Dev Med Child Neurol       Date:  2009-08-24       Impact factor: 5.449

4.  Automated optimal coordination of multiple-DOF neuromuscular actions in feedforward neuroprostheses.

Authors:  J Luis Lujan; Patrick E Crago
Journal:  IEEE Trans Biomed Eng       Date:  2009-01       Impact factor: 4.538

Review 5.  Restoration of motor function following spinal cord injury via optimal control of intraspinal microstimulation: toward a next generation closed-loop neural prosthesis.

Authors:  Peter J Grahn; Grant W Mallory; B Michael Berry; Jan T Hachmann; Darlene A Lobel; J Luis Lujan
Journal:  Front Neurosci       Date:  2014-09-17       Impact factor: 4.677

6.  Development of a mathematical model for predicting electrically elicited quadriceps femoris muscle forces during isovelocity knee joint motion.

Authors:  Ramu Perumal; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-12-10       Impact factor: 4.262

7.  Nonlinear dynamical model based control of in vitro hippocampal output.

Authors:  Min-Chi Hsiao; Dong Song; Theodore W Berger
Journal:  Front Neural Circuits       Date:  2013-02-20       Impact factor: 3.492

8.  Predicting muscle forces of individuals with hemiparesis following stroke.

Authors:  Trisha M Kesar; Jun Ding; Anthony S Wexler; Ramu Perumal; Ryan Maladen; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-02-27       Impact factor: 4.262

  8 in total

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