User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke

November 18, 2019 Β· Declared Dead Β· πŸ› IEEE transactions on neural systems and rehabilitation engineering

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Sangwoo Park, Michaela Fraser, Lynne M. Weber, Cassie Meeker, Lauri Bishop, Daniel Geller, Joel Stein, Matei Ciocarlie arXiv ID 1911.08003 Category cs.RO: Robotics Citations 41 Venue IEEE transactions on neural systems and rehabilitation engineering Last Checked 6 months ago
Abstract
We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device mediated hand exercises to recover neuromuscular function or as an assistive device for use in everyday activities to aid functional use of the hand. We present the clinical outcomes of a pilot study designed as a feasibility test for these hypotheses. 11 chronic stroke (> 2 years) patients with moderate muscle tone (Modified Ashworth Scale less than or equal to 2 in upper extremity) engaged in a month-long training protocol using the orthosis. Individuals were evaluated using standardized outcome measures, both with and without orthosis assistance. Fugl-Meyer post intervention scores without robotic assistance showed improvement focused specifically at the distal joints of the upper limb, suggesting the use of the orthosis as a rehabilitative device for the hand. Action Research Arm Test scores post intervention with robotic assistance showed that the device may serve an assistive role in grasping tasks. These results highlight the potential for wearable and user-driven robotic hand orthoses to extend the use and training of the affected upper limb after stroke.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Robotics

Died the same way β€” πŸ‘» Ghosted