Recent Advances in Quantitative Assessment of Parkinsonian Motor Symptoms Based on Wearable Devices
Dai Houde1, Xiong Yongsheng1,2, Cai Guoen3, Lin Zhirong1, Ye Qinyong3*
1Quanzhou Institute of Equipment Manufacturing, Haixi Institutes [Fujian Institute of Research on the Structure], Chinese Academy of Sciences, Quanzhou 362200, Fujian, China 2North University of China of Computer Science and Control Engineering, Taiyuan 030051, China 3Neurology of Fujian Medical University Union Hospital, Fuzhou 350001, China
Abstract：The quantitative assessment of motor symptoms of Parkinson's disease (PD) has remained a significant challenge since PD was first defined in 1817. However, with benefits of MEMS (Micro-Electro-Mechanical Systems) motion sensors for high-precision motion tracking, together with the multivariate statistical analysis and estimation theory, PD motor symptoms quantification has become available. In this article, at first, the MEMS motion sensing technique and the typical wearable systems for the quantification of PD motor symptoms were introduced. Secondly, the quantification methods of the four primary motor symptoms and their correlations to the UPDRS judgments of neurologists were compared and analyzed. After that, the impacts of motor fluctuations and the side effects of treatments such as dyskinesia for the quantification of PD symptoms were discussed. This paper also introduced the recent advances in quantitative assessment of parkinsonian motor symptoms based on wearable devices, and provides a system structure for the research of quantitative assessment of PD motor symptoms.
戴厚德, 熊永生, 蔡国恩, 林志榕, 叶钦勇. 基于可穿戴式传感装置的帕金森运动症状量化评估的研究进展[J]. 中国生物医学工程学报, 2018, 37(2): 229-236.
Dai Houde, Xiong Yongsheng, Cai Guoen, Lin Zhirong, Ye Qinyong. Recent Advances in Quantitative Assessment of Parkinsonian Motor Symptoms Based on Wearable Devices. Chinese Journal of Biomedical Engineering, 2018, 37(2): 229-236.
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