Correlations between statistical models of robotically collected kinematics and clinical measures of upper extremity function

Document Type

Conference Proceeding

Publication Date

12-14-2012

Abstract

One of the obstacles in the development of rehabilitation robotics has been inadequacy in the measurement of treatment effects due to interventions. A measurement tool that will efficiently produce a large reliable sample of measurements collected during a single session that can also produce a rich set of data which reflects a subject's ability to perform meaningful functional activities has not been developed. This paper presents three linear regression models generated from seven kinematic measures collected during the performance of virtually simulated rehabilitation activities that were integrated with haptic robots by 19 persons with upper extremity hemiparesis due to chronic stroke. One of these models demonstrated a statistically significant correlation with the subjects' scores on the Jebsen Test of Hand Function (JTHF), a battery of six standardized upper extremity functional activities. The second and third models demonstrated a statistically significant correlation with the subjects' change scores on the JTHF. © 2012 IEEE.

Identifier

84880937580 (Scopus)

ISBN

[9781424441198]

Publication Title

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS

External Full Text Location

https://doi.org/10.1109/EMBC.2012.6346873

ISSN

1557170X

PubMed ID

23366834

First Page

4120

Last Page

4123

Grant

R01HD058301

Fund Ref

National Institute of Child Health and Human Development

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