He Juanjuan, Yao Zhiming, Li Bochen, Wang Jianguo, Yang Xianjun
Institute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
University of Science and Technology of China, Hefei, 230026.
Zhongguo Yi Liao Qi Xie Za Zhi. 2019 Nov 30;43(6):432-435. doi: 10.3969/j.issn.1671-7104.2019.06.011.
Parkinson's Disease (PD) is a neurodegenerative disease that occurs in the middle-aged and elderly population and has dyskinesia as the main clinical symptom. Bradykinesia is a typical dyskinesia symptom of Parkinson's disease. The evaluation of bradykinesia based on wearable devices is an important support for individualized diagnosis and telemedicine. This paper focuses on the bradykinesia, expound the existing detection and evaluation techniques for wearable devices and data analysis methods. This paper also analyzes and discusses some current problems in the field and future research directions.
帕金森病(PD)是一种发生在中老年人群中的神经退行性疾病,以运动障碍为主要临床症状。运动迟缓是帕金森病典型的运动障碍症状。基于可穿戴设备对运动迟缓进行评估,是个性化诊断和远程医疗的重要支撑。本文聚焦于运动迟缓,阐述了可穿戴设备现有的检测与评估技术以及数据分析方法。本文还分析和讨论了该领域当前存在的一些问题及未来的研究方向。