Automated and accurate assessment for postural abnormalities in patients with Parkinson’s disease based on Kinect and machine learning

Abstract Background Automated and accurate assessment for postural abnormalities is necessary to monitor the clinical progress of Parkinson’s disease (PD). The combination of depth camera and machine learning makes this purpose possible. Methods Kinect was used to collect the postural images from 70...

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Auteurs principaux: Zhuoyu Zhang, Ronghua Hong, Ao Lin, Xiaoyun Su, Yue Jin, Yichen Gao, Kangwen Peng, Yudi Li, Tianyu Zhang, Hongping Zhi, Qiang Guan, LingJing Jin
Format: article
Langue:EN
Publié: BMC 2021
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Accès en ligne:https://doaj.org/article/bbfb35c0b43e4991ab0d06267f4a261a
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