A-GAS: A Probabilistic Approach for Generating Automated Gait Assessment Score for Cerebral Palsy Children-Reference-Cited by-同舟云学术

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A-GAS: A Probabilistic Approach for Generating Automated Gait Assessment Score for Cerebral Palsy Children

Published:2021 Issue: Volume:29 Page:2530-2539
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Bajpai Rishabh^ORCID,Joshi Deepak^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9363468/09628094.pdf?arnumber=9628094

Cited by 10 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 Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human–Robot Collaboration;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-06

2. Wearable Sensor‐Based Multi‐modal Fusion Network for Automated Gait Dysfunction Assessment in Children with Cerebral Palsy;Advanced Intelligent Systems;2024-04-16

3. Identification and interpretation of gait analysis features and foot conditions by explainable AI;Scientific Reports;2024-03-12

4. Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning;Computers in Biology and Medicine;2024-03

5. Interpretable classification for multivariate gait analysis of cerebral palsy;BioMedical Engineering OnLine;2023-11-22

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