Contactless evaluation of rigidity in Parkinson’s disease by machine vision and machine learning

作     者：Xue Zhu Weikun Shi Yun Ling Ningdi Luo Qianyi Yin Yichi Zhang Aonan Zhao Guanyu Ye Haiyan Zhou Jing Pan Liche Zhou Linghao Cao Pei Huang Pingchen Zhang Zhonglue Chen Cheng Chen Shinuan Lin Jin Zhao Kang Ren Yuyan Tan Jun Liu 

作者机构：Department of Neurology and Institute of NeurologyRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China GYENNO SCIENCE CO.LTD.ShenzhenGuangdong 518000China HUST-GYENNO CNS Intelligent Digital Medicine Technology CenterWuhanHubei 430074China School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanHubei 430074China Co-innovation Center of NeuroregenerationNantong UniversityNantongJiangsu 226019China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2023年第136卷第18期

页      面：2254-2256页

核心收录：

学科分类：1002[医学-临床医学] 100204[医学-神经病学] 10[医学] 

基　　金：National Natural Science Foundation of China(Nos.82230040,82071415,and 81971183) Shanghai Jiao Tong University Trans-med Awards Research(No.20220103) 

主　　题：rigidity severity tremor 

摘      要：To the Editor:Parkinson’s disease(PD)is one of the most common neurodegenerative movement disorders.[1]Its cardinal symptoms include bradykinesia,tremor,and rigidity.[2]The severity of PD-related motor symptoms is usually semiquantitatively evaluated by the Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale(MDS-UPDRS)[3]part three(MDS-UPDRS III).A series of machine perception and machine learning technologies have been applied to assist the manual rating of motor symptoms.[4,5]Machine vision,which does not require physical contact between the examiner and the patient.