Literature DB >> 17271408

Biofeedback in gait training with the robotic orthosis Lokomat.

L Lünenburger1, Gery Colombo, Robert Riener, Volker Dietz.   

Abstract

Neurological diseases - such as spinal cord injury, stroke and traumatic brain injury - frequently result in gait impairment The recovery of the walking ability requires functional training (i.e. walking), as previous research in man and animal has shown. Because the patient usually has reduced voluntary muscle force early after the incident, his/her movements require external support by physical therapists or special robotic devices. The Lokomat is a robotic gait orthosis with electromechanical drives that supports walking on a treadmill with body weight support. Because the movements are performed according to a predefined trajectory, there is no visible cue to the amount the patient is contributing. However, the forces measured within the drives can deliver an estimation of this contribution. Based on these measurements, biofeedback on the patient's gait performance was added as a new feature. The visual display will allow the patient to get direct feedback on his/her efforts, and will allow the therapist to instruct the patient better. We report here that the biofeedback can correctly reflect the activity of a healthy subject, that patients can benefit from the use, and what the patients' opinion is.

Entities:  

Year:  2004        PMID: 17271408     DOI: 10.1109/IEMBS.2004.1404352

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  17 in total

1.  Recent developments in biofeedback for neuromotor rehabilitation.

Authors:  He Huang; Steven L Wolf; Jiping He
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

2.  Applications of Brain-Machine Interface Systems in Stroke Recovery and Rehabilitation.

Authors:  Anusha Venkatakrishnan; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-06-01

3.  A robotic system to train activities of daily living in a virtual environment.

Authors:  Marco Guidali; Alexander Duschau-Wicke; Simon Broggi; Verena Klamroth-Marganska; Tobias Nef; Robert Riener
Journal:  Med Biol Eng Comput       Date:  2011-07-28       Impact factor: 2.602

4.  Decrease of spasticity after hybrid assistive limb® training for a patient with C4 quadriplegia due to chronic SCI.

Authors:  Akira Ikumi; Shigeki Kubota; Yukiyo Shimizu; Hideki Kadone; Aiki Marushima; Tomoyuki Ueno; Hiroaki Kawamoto; Yasushi Hada; Akira Matsumura; Yoshiyuki Sankai; Masashi Yamazaki
Journal:  J Spinal Cord Med       Date:  2016-10-20       Impact factor: 1.985

5.  Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

Authors:  Federica Tamburella; Juan C Moreno; Diana Sofía Herrera Valenzuela; Iolanda Pisotta; Marco Iosa; Febo Cincotti; Donatella Mattia; José L Pons; Marco Molinari
Journal:  J Neuroeng Rehabil       Date:  2019-07-23       Impact factor: 4.262

Review 6.  [Exoskeletons for rehabilitation of patients with spinal cord injuries. Options and limitations].

Authors:  M Aach; R C Meindl; J Geßmann; T A Schildhauer; M Citak; O Cruciger
Journal:  Unfallchirurg       Date:  2015-02       Impact factor: 1.000

Review 7.  Spinal cord injury: present and future therapeutic devices and prostheses.

Authors:  Simon F Giszter
Journal:  Neurotherapeutics       Date:  2008-01       Impact factor: 7.620

8.  Controlling patient participation during robot-assisted gait training.

Authors:  Alexander Koenig; Ximena Omlin; Jeannine Bergmann; Lukas Zimmerli; Marc Bolliger; Friedemann Müller; Robert Riener
Journal:  J Neuroeng Rehabil       Date:  2011-03-23       Impact factor: 4.262

9.  Online assessment of human-robot interaction for hybrid control of walking.

Authors:  Antonio J del-Ama; Juan C Moreno; Angel Gil-Agudo; Ana de-los-Reyes; José L Pons
Journal:  Sensors (Basel)       Date:  2011-12-27       Impact factor: 3.576

10.  Validation of a mechanism to balance exercise difficulty in robot-assisted upper-extremity rehabilitation after stroke.

Authors:  Lukas Zimmerli; Carmen Krewer; Roger Gassert; Friedemann Müller; Robert Riener; Lars Lünenburger
Journal:  J Neuroeng Rehabil       Date:  2012-02-03       Impact factor: 4.262

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