Lower Limb Exercise Rehabilitation Assessment Based on Artificial Intelligence and Medical Big Data-Reference-Cited by-同舟云学术

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Lower Limb Exercise Rehabilitation Assessment Based on Artificial Intelligence and Medical Big Data

Published:2019 Issue: Volume:7 Page:126787-126798
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ling Wenjie^ORCID,Yu Guishen,Li Zhaofeng

Funder

Key Project funded by the Scientific Research of Institutions of Higher Learning in Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08822675.pdf?arnumber=8822675

Cited by 12 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. Integrated control system of leg prostheses based on deep learning neural network;AIP Conference Proceedings;2024

2. Laboratory Experiences with an Intelligent Robotic Crank for Arm Exercises;Lecture Notes in Computer Science;2024

3. Periodic Disturbance Compensation Control of a Rope-Driven Lower Limb Rehabilitation Robot;Actuators;2023-07-12

4. A comparative review on artificial intelligence for exercise-based self-recuperation training to musculoskeletal disorder patients;IV INTERNATIONAL SCIENTIFIC FORUM ON COMPUTER AND ENERGY SCIENCES (WFCES II 2022);2023

5. Computer Vision Based on a Modular Neural Network for Automatic Assessment of Physical Therapy Rehabilitation Activities;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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