Motor Function Assessment of Children with Cerebral Palsy using Monocular Video
Author:
Affiliation:
1. Massachusetts Institute of Technology,Department of Mechanical Engineering,Cambridge,MA,USA
2. University of Michigan,Zhan Shen was With Robotics Institute
3. Takeda Development Center Americas, Inc.,Lexington,MA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10330797/10330909/10331472.pdf?arnumber=10331472
Reference16 articles.
1. Overview of Four Functional Classification Systems Commonly Used in Cerebral Palsy
2. The Definition and Classification of Cerebral Palsy
3. Reliability of GMFCS family report questionnaire
4. Deep neural networks enable quantitative movement analysis using single-camera videos
5. Development and reliability of a system to classify gross motor function in children with cerebral palsy
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1. Reducing noise using neighbourhood pixel analysis and interpretable custom kernel in CNN model for CP handwritten digit recognition;International Journal of Information Technology;2024-06-22
2. Computer Vision for Gait Assessment in Cerebral Palsy: Metric Learning and Confidence Estimation;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
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