| Autor: |
Ramanujam A, Momeni K, Husain SR, Augustine J, Garbarini E, Barrance P, Spungen A, Asselin P, Knezevic S, Forrest GF |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2018 Jul; Vol. 2018, pp. 2805-2808. |
| DOI: |
10.1109/EMBC.2018.8512821 |
| Abstrakt: |
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 $^{\mathrm{ TM}}$). 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 $( \mathrm {p}<$.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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
