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穿戴式传感器在帕金森病运动症状远程监测中的应用:现状、挑战与展望。

Body-Worn Sensors for Remote Monitoring of Parkinson's Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead.

机构信息

Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.

出版信息

J Parkinsons Dis. 2021;11(s1):S35-S47. doi: 10.3233/JPD-202471.

Abstract

The increasing prevalence of neurodegenerative conditions such as Parkinson's disease (PD) and related mobility issues places a serious burden on healthcare systems. The COVID-19 pandemic has reinforced the urgent need for better tools to manage chronic conditions remotely, as regular access to clinics may be problematic. Digital health technology in the form of remote monitoring with body-worn sensors offers significant opportunities for transforming research and revolutionizing the clinical management of PD. Significant efforts are being invested in the development and validation of digital outcomes to support diagnosis and track motor and mobility impairments "off-line". Imagine being able to remotely assess your patient, understand how well they are functioning, evaluate the impact of any recent medication/intervention, and identify the need for urgent follow-up before overt, irreparable change takes place? This could offer new pragmatic solutions for personalized care and clinical research. So the question remains: how close are we to achieving this? Here, we describe the state-of-the-art based on representative papers published between 2017 and 2020. We focus on remote (i.e., real-world, daily-living) monitoring of PD using body-worn sensors (e.g., accelerometers, inertial measurement units) for assessing motor symptoms and their complications. Despite the tremendous potential, existing challenges exist (e.g., validity, regulatory) that are preventing the widespread clinical adoption of body-worn sensors as a digital outcome. We propose a roadmap with clear recommendations for addressing these challenges and future directions to bring us closer to the implementation and widespread adoption of this important way of improving the clinical care, evaluation, and monitoring of PD.

摘要

神经退行性疾病(如帕金森病)的发病率不断上升,以及相关的行动问题,给医疗系统带来了严重负担。COVID-19 大流行进一步凸显了远程管理慢性病的迫切需要,因为定期前往诊所可能存在问题。远程监测佩戴式传感器等形式的数字健康技术为改善慢性病管理提供了重大机遇,有望彻底改变帕金森病的临床管理。目前正在大力开发和验证数字结果,以支持离线诊断和跟踪运动和移动障碍。试想一下,能否远程评估患者,了解他们的功能状况,评估近期任何药物/干预措施的影响,并在出现明显、不可逆转的变化之前,确定是否需要紧急随访?这将为个性化护理和临床研究提供新的实用解决方案。那么问题来了:我们离实现这一目标还有多远?在这里,我们根据 2017 年至 2020 年间发表的代表性论文,描述了这方面的最新进展。我们专注于使用佩戴式传感器(如加速度计、惯性测量单元)远程(即真实世界、日常生活)监测帕金森病,以评估运动症状及其并发症。尽管潜力巨大,但仍存在一些现有挑战(例如有效性、监管),阻碍了佩戴式传感器作为数字结果在临床上的广泛应用。我们提出了一份路线图,其中包含明确的建议,以应对这些挑战,并确定未来的方向,从而更接近实施和广泛采用这一重要方式,以改善帕金森病的临床护理、评估和监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b7d/8385520/e6ff40360c6b/jpd-11-jpd202471-g001.jpg

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