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MIT-Skywalker: considerations on the Design of a Body Weight Support System

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, September 2017
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Title
MIT-Skywalker: considerations on the Design of a Body Weight Support System
Published in
Journal of NeuroEngineering and Rehabilitation, September 2017
DOI 10.1186/s12984-017-0302-6
Pubmed ID
Authors

Rogério Sales Gonçalves, Hermano Igo Krebs

Abstract

To provide body weight support during walking and balance training, one can employ two distinct embodiments: support through a harness hanging from an overhead system or support through a saddle/seat type. This paper presents a comparison of these two approaches. Ultimately, this comparison determined our selection of the body weight support system employed in the MIT-Skywalker, a robotic device developed for the rehabilitation/habilitation of gait and balance after a neurological injury. Here we will summarize our results with eight healthy subjects walking on the treadmill without any support, with 30% unloading supported by a harness hanging from an overhead system, and with a saddle/seat-like support system. We compared the center of mass as well as vertical and mediolateral trunk displacements across different walking speeds and support. The bicycle/saddle system had the highest values for the mediolateral inclination, while the overhead harness body weight support showed the lowest values at all speeds. The differences were statistically significant. We selected the bicycle/saddle system for the MIT-Skywalker. It allows faster don-and-doff, better centers the patient to the split treadmill, and allows all forms of training. The overhead harness body weight support might be adequate for rhythmic walking training but limits any potential for balance training.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 11 14%
Student > Bachelor 9 12%
Researcher 7 9%
Other 5 6%
Other 8 10%
Unknown 19 25%
Readers by discipline Count As %
Engineering 21 27%
Medicine and Dentistry 12 16%
Nursing and Health Professions 10 13%
Neuroscience 6 8%
Psychology 1 1%
Other 6 8%
Unknown 21 27%