A Computational Framework for Quantitative Evaluation of Movement during Rehabilitation-Reference-Cited by-同舟云学术

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A Computational Framework for Quantitative Evaluation of Movement during Rehabilitation

Published:2011 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Chen Yinpeng,Duff Margaret,Lehrer Nicole,Sundaram Hari,He Jiping,Wolf Steven L.,Rikakis Thanassis,Pham Tuan D.,Zhou Xiaobo,Tanaka Hiroshi,Oyama-Higa Mayumi,Jiang Xiaoyi,Sun Changming,Kowalski Jeanne,Jia Xiuping

Publisher

AIP

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hierarchical Bayesian Model for Cyber-Human Assessment of Movement in Upper Extremity Stroke Rehabilitation;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

2. Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises;Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies;2023-06-21

3. A Hierarchical Bayesian Model for Cyber-Human Assessment of Rehabilitation Movement;2022-05-27

4. Capturing Upper Body Kinematics and Localization with Low-Cost Sensors for Rehabilitation Applications;Sensors;2022-03-16

5. Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer’s progression;Pattern Recognition;2021-11

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