Abstract
Timed measures of standardized functional tasks are commonly used to measure treatment effects in persons with upper extremity (UE) paresis due to stroke. The effectiveness of their ability to measure motor recovery has come into question because of their inability to distinguish between motor recovery and compensations. This paper presents three linear regression models generated from twelve kinematic measures collected during the performance of a two phase reach/grasp and transport /release activity as performed by 21 persons with upper extremity hemiparesis due to chronic stroke. One of these models demonstrated a statistically significant correlation with the subjects' scores on the Wolf Motor Function Test (WMFT), a battery of fifteen standardized upper extremity functional activities. The second and third models demonstrated a statistically significant correlation with the subjects' WMFT change scores elicited by a two week intensive upper extremity motor rehabilitation intervention. The high correlation suggests that models of kinematic measurements can be used to predict neurologic improvement and the effectiveness of treatment.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3610-3613 |
| Number of pages | 4 |
| Journal | Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference |
| Volume | 2014 |
| DOIs | |
| State | Published - Jan 1 2014 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics