Abstract
The objective of this research is to identify the demographic, physiological, kinematic and biomechanical determinants of exoskeleton assisted gait speed for individuals with a spinal cord injury (SCI). High number (300) of gait cycles across multiple time-points were analyzed to identify the parameter estimates from mixed model for dependent variable walk speed. Step length, step width, single stance time did not contribute to walk speed whereas trunk lean mass, stride length, step frequency were the most significant contributors. These variables were more significant than any of the spatial temporal parameters that are associated with human gait. Future research should determine the relative contributions of each independent variable to walk speed for different devices. Understanding the effects of exoskeleton/human interface for different devices is crucial for developing effective/efficient training protocols for community ambulation, rehabilitation and recovery post SCI.
Research supported by New Jersey Commission on Spinal Cord Research (Grant# CSCR13IRG013).
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References
Koller, J.R., David Remy, C., Ferris, D.P.: Comparing neural control and mechanically intrinsic control of powered ankle exoskeletons. IEEE Int. Conf. Rehabil. Robot. 2017, 294–299 (2017). https://doi.org/10.1109/ICORR.2017.8009262
Wu, A.R., Dzeladini, F., Brug, T.J.H., Tamburella, F., Tagliamonte, N.L., van Asseldonk, E.H.F., van der Kooij, H., Ijspeert, A.J.: An adaptive neuromuscular controller for assistive lower-limb exoskeletons: a preliminary study on subjects with spinal cord injury
Forrest, G.F., Spungen, A.M., Bauman, W.A., et al.: Muscle changes after Exoskeleton training. ISCOS Meeting, Dublin, Ireland (2017)
FDA. Evaluation of Automatic Class III Designation (De Novo) For Argore Walk. 15 A.D
FDA. http://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfrl/ldetails.cfm?lid=482440. FDA. 16 A.D
Tefertiller, C., Hays, K., Jones, J., Jayaraman, A., Hartigan, C., Bushnik, T., Forrest, G.F.: Initial outcomes from a multicenter study utilizing the Indego powered exoskeleton in spinal cord injury. Top. Spinal Cord Inj. Rehabil. 2018 Winter 24(1), 78–85 (2018). https://doi.org/10.1310/sci17-00014. Epub 20 Nov 2017
Ramanujam, A., Cirnigliaro, C.M., Garbarini, E., Asselin, P., Pilkar, R., Forrest, G.F.: Neuromechanical adaptations during a robotic powered exoskeleton assisted walking session. J. Spinal Cord Med. 20, 1 (2017)
Ramanujam, A., Spungen, A., Asselin, P., Garbarini, E., Augustine, J., Canton, S., Barrance, P., Forrest, G.F.: Training response to longitudinal powered exoskeleton training for SCI. In: Wearable Robotics: Challenges and Trends, pp. 361–366. Springer International Publishing (2017)
Ramanujam, A., Momeni, K., Husain, S.R., Augustine, J., Garbarini, E., Barrance, P., Spungen, A.M., Asselin, P.K., Knezevic, S., Forrest, G.F.: Center of mass and postural adaptations during robotic exoskeleton assisted walking for individuals with spinal cord injury. Submitted to WeROB, Italy (2018)
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Forrest, G.F. et al. (2019). Exoskeleton Controller and Design Considerations: Effect on Training Response for Persons with SCI. In: Carrozza, M., Micera, S., Pons, J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-01887-0_60
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