Rovini Erika, Maremmani Carlo, Cavallo Filippo
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.
U.O. Neurologia, Ospedale delle Apuane (AUSL Toscana Nord Ovest), Massa, Italy.
Front Neurosci. 2017 Oct 6;11:555. doi: 10.3389/fnins.2017.00555. eCollection 2017.
Parkinson's disease (PD) is a common and disabling pathology that is characterized by both motor and non-motor symptoms and affects millions of people worldwide. The disease significantly affects quality of life of those affected. Many works in literature discuss the effects of the disease. The most promising trends involve sensor devices, which are low cost, low power, unobtrusive, and accurate in the measurements, for monitoring and managing the pathology.
This review focuses on wearable devices for PD applications and identifies five main fields: early diagnosis, tremor, body motion analysis, motor fluctuations (ON-OFF phases), and home and long-term monitoring. The concept is to obtain an overview of the pathology at each stage of development, from the beginning of the disease to consider early symptoms, during disease progression with analysis of the most common disorders, and including management of the most complicated situations (i.e., motor fluctuations and long-term remote monitoring).
The research was conducted within three databases: IEEE Xplore®, Science Direct®, and PubMed Central®, between January 2006 and December 2016.
Since 1,429 articles were found, accurate definition of the exclusion criteria and selection strategy allowed identification of the most relevant papers.
Finally, 136 papers were fully evaluated and included in this review, allowing a wide overview of wearable devices for the management of Parkinson's disease.
帕金森病(PD)是一种常见的致残性疾病,其特征为运动和非运动症状,影响着全球数百万人。该疾病严重影响患者的生活质量。文献中有许多研究探讨了该疾病的影响。最有前景的趋势涉及传感器设备,这些设备成本低、功耗低、不引人注意且测量准确,可用于监测和管理该疾病。
本综述聚焦于用于帕金森病应用的可穿戴设备,并确定了五个主要领域:早期诊断、震颤、身体运动分析、运动波动(开-关期)以及家庭和长期监测。其理念是在疾病发展的每个阶段对该疾病进行全面概述,从疾病初期考虑早期症状,在疾病进展过程中分析最常见的病症,包括处理最复杂的情况(即运动波动和长期远程监测)。
该研究在2006年1月至2016年12月期间于三个数据库进行:IEEE Xplore®、Science Direct®和PubMed Central®。
由于共找到1429篇文章,准确界定排除标准和选择策略有助于确定最相关的论文。
最终,136篇论文得到全面评估并纳入本综述,从而对用于帕金森病管理的可穿戴设备进行了广泛概述。