| Autor: |
Felix C. Huang, Zachary A. Wright, Emily D.C. Lazzaro, James L. Patton |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
2015 IEEE International Conference on Rehabilitation Robotics (ICORR). |
| DOI: |
10.1109/icorr.2015.7281198 |
| Popis: |
Variation in upper extremity motor impairments among stroke survivors creates challenges for the design of robot-assisted therapies. One approach to enhance treatment is to customize based on individual assessments of motor capabilities. However, current strategies are limited by the use of traditional assessments (e.g. Fugl-Meyer, goal-directed performance) for informing customization. Our approach characterizes natural motor behavior through distributions of self-directed motor exploration. We then design unique force fields that push participants towards their neglected movements in the velocity domain. In this study, we investigated how stroke survivors' (n = 6) movement patterns evolve with customized force field training and compared this to a control group that trained without forces (n = 6). Our results showed that both training groups improved Fugl-Meyer UE scores (2.5 ± 1.0 point and 1.5 ± 0.7 point improvements for the force field group and control group, respectively) and increased their movement capabilities in the velocity domain (104.1 ± 28.1% and 169.8 ± 101.4% increases for the force field group and control group, respectively). These results provide preliminary evidence that patient-specific force fields could be developed into a treatment that expands movement capabilities. To our knowledge, this study is the first to directly link distributions of movement to robot-assisted therapy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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