@inproceedings{e172ffe3d46e4a80a71f45b0178add4d,
title = "Mechanisms for improving walking speed after longitudinal powered robotic exoskeleton training for individuals with spinal cord injury",
abstract = "The goal of this study was to establish strideparameter gait models correlated to speed on individuals with chronic SCI and able-bodied controls walking with a powered robotic exoskeleton (EksoGT TM). Longitudinal exoskeleton training (>100 hours) across eight individuals with SCI resulted in a 30% increase in walking speed. A simple linear regression between step length, stride length for given speed were very tightly correlated along a line of best fit (p <.001). The temporal parameters of stride time, stance time and double support time depicted a non-linear exponentially decaying relationship for given walking speed. The research findings indicate that although longitudinal exoskeleton training reduces the temporal parameters, increases in spatial parameters are only marginal.",
author = "Arvind Ramanujam and Kamyar Momeni and Husain, {Syed R.} and Jonathan Augustine and Erica Garbarini and Peter Barrance and Ann Spungen and Pierre Asselin and Steven Knezevic and Forrest, {Gail F.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 ; Conference date: 18-07-2018 Through 21-07-2018",
year = "2018",
month = oct,
day = "26",
doi = "10.1109/EMBC.2018.8512821",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2805--2808",
booktitle = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018",
address = "United States",
}