Robot-assisted gait training

Marchal Crespo, Laura; Riener, Robert (2018). Robot-assisted gait training. In: Colombo, Roberto; Sanguineti, Vittorio (eds.) Rehabilitation Robotics (pp. 227-240). Elsevier 10.1016/B978-0-12-811995-2.00016-3

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There is increasing interest in using robotic devices to provide rehabilitation therapy following neurological injuries. During robotic gait training, patients are assisted with body-weight support and provided with physical guidance from a robotic device to move their legs into a correct gait pattern. Gait rehabilitation robots allow for longer training duration, promote more movement repetitions, improve patient safety and motivation, reduce the therapists' burden, and eventually improve the therapeutic outcome. This chapter introduces the rationale of robot-assisted gait training and follows with an overview of existing gait rehabilitation robots and their control strategies. It finishes with a summary of existing clinical trials, which showed that training with robotic rehabilitation devices is, at least, as effective as conventional physiotherapy. It concludes with the recommendation that further clinical studies are required in order to define the most appropriate robotic technical features based on the type of rehabilitation tasks, patients' neurological injuries, and their stage of recovery.

Item Type:

Book Section (Book Chapter)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

UniBE Contributor:

Marchal Crespo, Laura

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISBN:

978-0-12-811995-2

Publisher:

Elsevier

Language:

English

Submitter:

Angela Amira Botros

Date Deposited:

24 May 2018 10:59

Last Modified:

23 Oct 2019 18:23

Publisher DOI:

10.1016/B978-0-12-811995-2.00016-3

BORIS DOI:

10.7892/boris.116467

URI:

https://boris.unibe.ch/id/eprint/116467

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