Abstract
Stroke is a leading cause of upper-limb impairment and a motivating factor behind the development of robotic technologies for arm assessment and rehabilitation. The shoulder is one of the most complex joints in the body and a potential source of human-exoskeleton misalignment. This paper presents histograms of shoulder displacement during 18 activities of daily living (ADLs) and demonstrates the shoulder joint translations that must be accommodated if misalignment is to be avoided during natural reach and grasp movements of the arm.
This work is supported by NSF Award#1532239 and the Eunice Kennedy Shiver NICHD of the NIH Award#K12HD073945. Content is the sole responsibility of the authors and does not necessarily represent the views of either NSF or NIH.
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Bitikofer, C.K., Hill, P.W., Wolbrecht, E.T., Perry, J.C. (2019). Analysis of Shoulder Displacement During Activities of Daily Living and Implications on Design of Exoskeleton Robotics for Assessment. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_96
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DOI: https://doi.org/10.1007/978-3-030-01845-0_96
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