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本文引用的文献

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A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease.一项关于评估帕金森病的监测技术的特征与有效性的系统评价。
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Potential of APDM mobility lab for the monitoring of the progression of Parkinson's disease.APDM运动实验室在监测帕金森病进展方面的潜力。
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Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial.基于家庭的智能手机自动反馈训练对帕金森病患者步态的可行性及效果:一项随机对照试验。
Parkinsonism Relat Disord. 2016 Jan;22:28-34. doi: 10.1016/j.parkreldis.2015.11.004.

使用可穿戴设备对帕金森病运动状态进行定量分析:从方法学考量到临床应用中的问题

Quantitative Analysis of Motor Status in Parkinson's Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications.

作者信息

Suzuki Masahiko, Mitoma Hiroshi, Yoneyama Mitsuru

机构信息

Department of Neurology, Katsushika Medical Center, Jikei University School of Medicine, Tokyo, Japan.

Medical Education Promotion Center, Tokyo Medical University, Tokyo, Japan.

出版信息

Parkinsons Dis. 2017;2017:6139716. doi: 10.1155/2017/6139716. Epub 2017 May 18.

DOI:10.1155/2017/6139716
PMID:28607801
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5451764/
Abstract

Long-term and objective monitoring is necessary for full assessment of the condition of patients with Parkinson's disease (PD). Recent advances in biotechnology have seen the development of various types of wearable (body-worn) sensor systems. By using accelerometers and gyroscopes, these devices can quantify motor abnormalities, including decreased activity and gait disturbances, as well as nonmotor signs, such as sleep disturbances and autonomic dysfunctions in PD. This review discusses methodological problems inherent in wearable devices. Until now, analysis of the mean values of motion-induced signals on a particular day has been widely applied in the clinical management of PD patients. On the other hand, the reliability of these devices to detect various events, such as freezing of gait and dyskinesia, has been less than satisfactory. Quantification of disease-specific changes rather than nonspecific changes is necessary.

摘要

对帕金森病(PD)患者病情进行全面评估需要长期且客观的监测。生物技术的最新进展推动了各种可穿戴(穿戴在身上的)传感器系统的发展。通过使用加速度计和陀螺仪,这些设备可以量化运动异常,包括活动减少和步态障碍,以及非运动症状,如PD患者的睡眠障碍和自主神经功能障碍。本综述讨论了可穿戴设备固有的方法学问题。到目前为止,对特定日期运动诱发信号的平均值分析已广泛应用于PD患者的临床管理。另一方面,这些设备检测各种事件(如步态冻结和异动症)的可靠性一直不尽人意。有必要对疾病特异性变化而非非特异性变化进行量化。