| Literature DB >> 32166053 |
Won Joon Sohn1, Rifat Sipahi2, Terence D Sanger3, Dagmar Sternad1.
Abstract
This study presents the design and feasibility testing of an interactive portable motion-analysis device for the assessment of upper-limb motor functions in clinical and home settings. The device engages subjects to perform tasks that imitate activities of daily living, e.g. drinking from a cup and moving other complex objects. Sitting at a magnetic table subjects hold a 3D printed cup with an adjustable magnet and move this cup on the table to targets that can be drawn on the table surface. A ball rolling inside the cup can enhance the task challenge by introducing additional dynamics. A single video camera with a portable computer tracks real-time kinematics of the cup and the rolling ball using a custom-developed, color-based computer-vision algorithm. Preliminary verification with marker-based 3D-motion capture demonstrated that the device produces accurate kinematic measurements. Based on the real-time 2D cup coordinates, audio-visual feedback about performance can be delivered to increase motivation. The feasibility of using this device in clinical diagnostics is demonstrated on 2 neurotypical children and also 3 children with upper-extremity impairments in the hospital, where conventional motion-analysis systems are difficult to use. The device meets key needs for clinical practice: 1) a portable solution for quantitative motor assessment for upper-limb movement disorders at non-laboratory clinical settings, 2) a low-cost rehabilitation device that can increase the volume of in-home physical therapy, and 3) the device affords testing and training a variety of motor tasks inspired by daily challenges to enhance self-confidence to participate in day-to-day activities. 2168-2372Entities:
Keywords: Quantitative motor assessment; cerebral palsy; kinematic data acquisition device; stroke; upper-limb movement disorder
Year: 2019 PMID: 32166053 PMCID: PMC6889943 DOI: 10.1109/JTEHM.2019.2953257
Source DB: PubMed Journal: IEEE J Transl Eng Health Med ISSN: 2168-2372 Impact factor: 3.316