Literature DB >> 9631319

Patient-driven control of FES-supported standing up: a simulation study.

R Riener1, T Fuhr.   

Abstract

To control movements aided by functional electrical stimulation (FES) in paraplegic patients, stimulation of the paralyzed lower limbs might be adjusted in response to voluntary upper body effort. Recently, Donaldson and Yu proposed a theoretical approach, called "control by handle reactions of leg muscle stimulation" (CHRELMS), in which stimulation of the lower limbs depends on upper body effort, i.e., body posture and recorded hand reactions, and is aimed to minimize arm forces during standing up and standing. An alternative strategy is presented in this paper, which accounts for voluntary upper body effort as well, but does not require estimation of hand reactions. The objective of this study is to test both strategies by applying them to a generic two-dimensional (2-D) neuromusculoskeletal model. The model takes into account the major properties of muscle and segmental dynamics during FES-supported standing-up movements of a paraplegic patient. In comparison to standing up without FES-support, both closed-loop strategies yield satisfying standing-up movements although no reference information (e.g., a desired trajectory) is required. Arm forces can be significantly reduced. Using the model to optimize the controller, time-consuming and strenuous trial-and-error experimentation could be avoided. However, final experimental studies are planned to verify the presented strategies.

Entities:  

Mesh:

Year:  1998        PMID: 9631319     DOI: 10.1109/86.681177

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  23 in total

1.  Adaptive fuzzy control of electrically stimulated muscles for arm movements.

Authors:  S Micera; A M Sabatini; P Dario
Journal:  Med Biol Eng Comput       Date:  1999-11       Impact factor: 2.602

2.  [Paraplegic cycling using functional electrical stimulation. Experimental and model-based study of power output].

Authors:  J Szecsi; S Krafczyk; J Quintern; M Fiegel; A Straube; T Brandt
Journal:  Nervenarzt       Date:  2004-12       Impact factor: 1.214

Review 3.  Robot-aided neurorehabilitation of the upper extremities.

Authors:  R Riener; T Nef; G Colombo
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

4.  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

5.  A method for paraplegic upper-body posture estimation during standing: a pilot study for rehabilitation purposes.

Authors:  Gaël Pages; Nacim Ramdani; Philippe Fraisse; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2009-03-10       Impact factor: 2.602

6.  A mathematical tool to generate complex whole body motor tasks and test hypotheses on underlying motor planning.

Authors:  Michele Tagliabue; Alessandra Pedrocchi; Thierry Pozzo; Giancarlo Ferrigno
Journal:  Med Biol Eng Comput       Date:  2007-09-11       Impact factor: 2.602

7.  Modeling the effect of tilting, passive leg exercise, and functional electrical stimulation on the human cardiovascular system.

Authors:  Amirehsan Sarabadani Tafreshi; Jan Okle; Verena Klamroth-Marganska; Robert Riener
Journal:  Med Biol Eng Comput       Date:  2017-02-10       Impact factor: 2.602

8.  Flexing computational muscle: modeling and simulation of musculotendon dynamics.

Authors:  Matthew Millard; Thomas Uchida; Ajay Seth; Scott L Delp
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

9.  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

10.  Patient-cooperative control increases active participation of individuals with SCI during robot-aided gait training.

Authors:  Alexander Duschau-Wicke; Andrea Caprez; Robert Riener
Journal:  J Neuroeng Rehabil       Date:  2010-09-10       Impact factor: 4.262

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