Document Type
Conference Proceeding
Language
eng
Format of Original
4 p.
Publication Date
2014
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Source ISSN
1557-170X
Original Item ID
DOI: 10.1109/EMBC.2014.6944136
Abstract
A recently developed and evaluated upper extremity (UE) markerless motion analysis system based on the Microsoft® Kinect® has potential for improving functional assessment of patients with hemiplegic cerebral palsy. 12 typically-developing adolescents ages 12-17 were evaluated using both the Kinect-based system and the Shriners Hospitals for Children Upper Extremity Evaluation (SHUEE), a validated measure of UE motion. The study established population means of UE kinematic parameters for each activity. Statistical correlation analysis was used to identify key kinematic metrics used to develop automatic scoring algorithms. The Kinect motion analysis platform is technically sound and can be applied to standardized task-based UE evaluation while providing enhanced sensitivity in clinical analysis and automation through scoring algorithms.
Recommended Citation
Rammer, Jacob R.; Krzak, Joseph J.; Riedel, Susan A.; and Harris, Gerald F., "Evaluation of Upper Extremity Movement Characteristics during Standardized Pediatric Functional Assessment with a Kinect®-based Markerless Motion Analysis System" (2014). Biomedical Engineering Faculty Research and Publications. 354.
https://epublications.marquette.edu/bioengin_fac/354
Comments
Accepted version. Published as part of the proceedings of the conference, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014: 2525-2528. DOI. © 2014 Institute of Electrical and Electronics Engineers (IEEE). Used with permission.
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