Analog Devices, Raleigh, NC 27603, USA.
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53705, USA.
Sensors (Basel). 2022 Jul 23;22(15):5491. doi: 10.3390/s22155491.
Parkinson's disease (PD) is a neurological disorder with complicated and disabling motor and non-motor symptoms. The complexity of PD pathology is amplified due to its dependency on patient diaries and the neurologist's subjective assessment of clinical scales. A significant amount of recent research has explored new cost-effective and subjective assessment methods pertaining to PD symptoms to address this challenge. This article analyzes the application areas and use of mobile and wearable technology in PD research using the PRISMA methodology. Based on the published papers, we identify four significant fields of research: diagnosis, prognosis and monitoring, predicting response to treatment, and rehabilitation. Between January 2008 and December 2021, 31,718 articles were published in four databases: PubMed Central, Science Direct, IEEE Xplore, and MDPI. After removing unrelated articles, duplicate entries, non-English publications, and other articles that did not fulfill the selection criteria, we manually investigated 1559 articles in this review. Most of the articles (45%) were published during a recent four-year stretch (2018-2021), and 19% of the articles were published in 2021 alone. This trend reflects the research community's growing interest in assessing PD with wearable devices, particularly in the last four years of the period under study. We conclude that there is a substantial and steady growth in the use of mobile technology in the PD contexts. We share our automated script and the detailed results with the public, making the review reproducible for future publications.
帕金森病（PD）是一种神经系统疾病，具有复杂且致残的运动和非运动症状。由于其依赖于患者日记和神经科医生对临床量表的主观评估，PD 病理学的复杂性进一步加剧。大量最近的研究探讨了新的具有成本效益的、针对 PD 症状的主观评估方法，以应对这一挑战。本文使用 PRISMA 方法分析了移动和可穿戴技术在 PD 研究中的应用领域和用途。根据已发表的论文，我们确定了四个重要的研究领域：诊断、预后和监测、预测治疗反应以及康复。2008 年 1 月至 2021 年 12 月，在四个数据库：PubMed Central、Science Direct、IEEE Xplore 和 MDPI 中发表了 31718 篇文章。在去除不相关的文章、重复项、非英语出版物和其他不符合选择标准的文章后，我们在本综述中手动研究了 1559 篇文章。大多数文章（45%）发表在最近的四年内（2018-2021 年），19%的文章仅在 2021 年发表。这一趋势反映了研究界对使用可穿戴设备评估 PD 的兴趣日益浓厚，特别是在研究期间的最后四年。我们得出结论，移动技术在 PD 背景下的使用呈大幅且稳定的增长趋势。我们与公众分享我们的自动化脚本和详细结果，使未来的出版物能够重现本综述。
