Abstract
The range of reachable workspace is related to the activity and motor function of the upper limbs. In this paper the upper limb reachable workspace of stroke patient was analyzed, and compared with the upper limb Fugl-Meyer score assessed by the therapist. In the experiment, the subject did the movement protocol by following the conductor. Different protocol was selected adaptively according to the arm activity. The avatar in the virtual environment was controlled synchronously to increase the fun of measurement. According to the movement trajectory of the upper extremity, reachable workspace sphere was fitted and relative surface area (RSA) was calculated to evaluate the performance of the upper limb. This study indicates that the RSA of upper limbs based on Kinect virtual environment has great potential in the assessment of upper limb performance of stroke patients and can be helpful for clinical evaluation.
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Acknowledgment
The authors would like to thank the anonymous reviewers for their valuable comments and helpful suggestions. In addition, we would like to thank all of the subjects who participated in the study.
This work has been supported by National Key R&D Plan (2016YFB1001301), The National Natural Science Foundation of China (91648206).
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Bai, J., Song, A. (2018). Measurement and Analysis of Upper Limb Reachable Workspace for Post-stroke Patients. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_20
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DOI: https://doi.org/10.1007/978-3-319-97586-3_20
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