Literature DB >> 33329903

A domestic robotic rehabilitation device for assessment of wrist function for outpatients.

Matthias Panny1, Andreas Mayr2, Marco Nagiller1, Yeongmi Kim1.   

Abstract

INTRODUCTION: Available robot-assisted stroke rehabilitation systems are often limited in their utilization in the home environment, due to several barriers such as high cost, absence of therapists, tedious training tasks, or encumbering interfaces. This paper presents a low-cost robotic rehabilitation and assessment device for restoring wrist function, offering wrist exercises incorporating pronation-supination and flexion-extension movements. Furthermore, the device is designed for the assessment of joint stiffness of the wrist, and range of motion in two degrees of freedom.
Methods: Mechanical/electrical design of the device as well as the control system is described. A preliminary evaluation focused on the measurement of the torsional stiffness of the limb is presented. It is evaluated by reconstructing the known stiffness values of torsional springs by measuring the motor current required to displace them.
RESULTS: The device demonstrates the ability to determine the stiffness of an object with low-cost hardware. Use case scenarios of the device for training and assessment of the wrist are presented, allowing for a range of motion of ± 75 ° and ± 65 ° , for pronation-supination and flexion-extension respectively.
CONCLUSION: The device shows potential to help objectively quantify the stiffness of the wrist movement, which consecutively could be used to represent and quantify the degree of impairment of patients after stroke in a more objective manner. Further clinical study is necessary to examine this.
© The Author(s) 2020.

Entities:  

Keywords:  low-cost; stiffness assessment; stroke rehabilitation; virtual reality scenario; wrist orientation

Year:  2020        PMID: 33329903      PMCID: PMC7720346          DOI: 10.1177/2055668320961233

Source DB:  PubMed          Journal:  J Rehabil Assist Technol Eng        ISSN: 2055-6683


  34 in total

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