Building a gait analysis framework for Parkinson's disease patients: Motion capture and skeleton 3D representation
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6909332/6917722/06917764.pdf?arnumber=6917764
Cited by 7 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. DeePaGait: Motor Assessment of Parkinson’s Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
2. A type-2 neuro-fuzzy system with a novel learning method for Parkinson’s disease diagnosis;Applied Intelligence;2022-11-24
3. A vision‐based clinical analysis for classification of knee osteoarthritis, Parkinson's disease and normal gait with severity based on k‐nearest neighbour;Expert Systems;2022-02-16
4. Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis;Sensors;2019-01-10
5. Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey;IEEE Access;2019
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