Literature DB >> 16843472

Symmetry-based resistance as a novel means of lower limb rehabilitation.

Ann M Simon1, R Brent Gillespie, Daniel P Ferris.   

Abstract

Robotic devices hold much promise for use as rehabilitation aids but their success depends on identifying effective strategies for controlling human-robot interaction forces. We developed a robotic device to test a novel method of controlling interaction forces with the intent of improving force symmetry in the limbs. Users perform lower limb extensions against a computer-controlled resistive load. The control software increases resistance above baseline in proportion to lower limb force asymmetry (balance between left and right limb forces). As a preliminary trial to test the device and controller, we conducted two experiments on neurologically intact subjects. In experiment 1, one group of subjects received symmetry-based resistance while performing lower limb extensions (n=10). A control group performed the same movements with constant resistance (n=10). The symmetry-based resistance group improved lower limb symmetry during training (ANOVA, p<0.05), whereas the control subjects did not. In experiment 2, subjects (n=10) successfully used symmetry-based resistance to alter their lower limb force production towards a target asymmetry (ANOVA, p<0.05). These studies suggest that symmetry-based resistance may hold rehabilitation benefits after orthopedic or neurological injury. Specifically, performing strength training therapy with this controller may allow hemiparetic individuals to focus better on increasing strength and neuromuscular recruitment in their paretic limb while experiencing symmetric limb forces.

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Year:  2006        PMID: 16843472     DOI: 10.1016/j.jbiomech.2006.05.021

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  Lower limb force production and bilateral force asymmetries are based on sense of effort.

Authors:  Ann M Simon; Daniel P Ferris
Journal:  Exp Brain Res       Date:  2008-02-05       Impact factor: 1.972

2.  Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Authors:  Edward P Washabaugh; Emma Treadway; R Brent Gillespie; C David Remy; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

3.  Asymmetry in quadriceps rate of force development as a functional outcome measure in TKA.

Authors:  Nicola A Maffiuletti; Mario Bizzini; Katharina Widler; Urs Munzinger
Journal:  Clin Orthop Relat Res       Date:  2009-07-14       Impact factor: 4.176

4.  Anti-Disturbance Sliding Mode Control of a Novel Variable Stiffness Actuator for the Rehabilitation of Neurologically Disabled Patients.

Authors:  Lufan Mo; Pengbo Feng; Yixin Shao; Di Shi; Linhang Ju; Wuxiang Zhang; Xilun Ding
Journal:  Front Robot AI       Date:  2022-05-02

5.  Effect of robotic performance-based error-augmentation versus error-reduction training on the gait of healthy individuals.

Authors:  Pei-Chun Kao; Shraddha Srivastava; Sunil K Agrawal; John P Scholz
Journal:  Gait Posture       Date:  2012-07-24       Impact factor: 2.840

Review 6.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

  6 in total

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