Abstract
It is believed that the quality of arm mobility in planar reach movements can be adequately characterized by measures of planar position and vertical force. For the purpose of impairment assessment, it is further proposed that a complete picture of mobility performance can be represented through the assessment of metrics representative of each of four capacities: 1) Range of motion, 2) Range of force, 3) Control of motion, and 4) Control of force. In this paper, a set of games for mobility assessment is presented and initial plots of motion profiles and several computed metrics are shown for one patient in the performance of range of motion and control of motion assessments. Assessment plots are shown for four of seven training sessions and metrics are computed at each of the seven sessions to show the progression over the course of the 2-week clinical pilot study with the ArmAssist.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 - Seattle, WA, United States Duration: 24 Jun 2013 → 26 Jun 2013 |
Publication series
| Name | IEEE International Conference on Rehabilitation Robotics |
|---|---|
| ISSN (Print) | 1945-7898 |
| ISSN (Electronic) | 1945-7901 |
Conference
| Conference | 2013 IEEE 13th International Conference on Rehabilitation Robotics, ICORR 2013 |
|---|---|
| Country/Territory | United States |
| City | Seattle, WA |
| Period | 24/06/13 → 26/06/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Mobility assessment
- assessment metrics
- home-based training
- serious games
- stroke rehabilitation
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