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International Journal of Physiotherapy and Research
Article . 2015 . Peer-reviewed
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MECHANICAL GAIT TRAINING IN NEUROLOGICAL DISORDERS: A REVIEW OF EVIDENCES

Authors: Iyyappan Manickavasagam; Poongundran Paranthaman; Jagatheesan Alagesan; Vandana J. Rathod;

MECHANICAL GAIT TRAINING IN NEUROLOGICAL DISORDERS: A REVIEW OF EVIDENCES

Abstract

Robotic technologies are becoming more prevalent for treating neurological conditions in clinical settings. We conducted a literature search of original articles to identify all studies that examined the use of robotic devices for restoring walking function in adults with neurological disorders. A search was conducted in MEDLINE, Cochrane Library, Physiotherapy Evidence Database, Google Scholar, CINAHL and EBSCO host from 2005 to 2014. Keywords used were gait, locomotor training, multiple sclerosis, neurological disorders, rehabilitation, robotics, spinal cord injury, stroke, traumatic brain injury and walking. This review analyzed 27 articles that examined the effects of locomotor training with robotic assistance in patients following stroke, spinal cord injury (SCI), multiple sclerosis (MS), traumatic brain injury (TBI), and Parkinson disease (PD). This review supports that locomotor training with robotic assistance is beneficial for improving walking function in individuals following a stroke and SCI. Gait speed and endurance were not found to be significantly different among patients with motor incomplete SCI after a variety of locomotor training approaches. Limited evidence demonstrates that locomotor training with robotic assistance is beneficial in populations of patients with MS, TBI, or PD. We discuss clini­cal implications and decision making in the area of gait reha­bilitation for neurological dysfunction.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold