通过远程医疗监测运动障碍和多发性硬化症患者步态和姿势的可穿戴设备:系统综述。

Expert review of medical devices Pub Date : 2024-01-01 Epub Date: 2024-02-04 DOI:10.1080/17434440.2023.2298342
Francesca Salaorni, Giulia Bonardi, Federico Schena, Michele Tinazzi, Marialuisa Gandolfi
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引用次数: 0

摘要

导言:可穿戴设备和远程医疗被越来越多地用于跟踪患者群体的健康相关参数。由于步态和姿势控制缺陷是运动障碍和多发性硬化症患者行动不便的原因之一,我们认为对远程医疗中用于监测这类患者步态和姿势的设备进行评估很有意义:为了进行这项系统性研究,我们检索了 MEDLINE (PubMed)、SCOPUS、Cochrane Library 和 SPORTDiscus 等电子数据库。在检索到的 452 条记录中,有 12 条符合纳入/排除标准。检索了有关(1)研究特点和临床方面、(2)技术、(3)远程监控和远程咨询的数据,并对研究进行了质量评估:所有研究均涉及帕金森病患者;大多数研究使用三轴加速度计进行一般评估(4 项)、运动波动评估(3 项)、跌倒评估(2 项)和转身评估(3 项)。不同研究的传感器位置和数量差异很大。九项研究使用实验室验证的算法进行数据分析。只有一项研究讨论了同步患者反馈和异步远程会诊:可穿戴设备能够对患者进行真实世界的监测,并提出与潜在步态障碍相关的症状和行为的生物标志物,从而丰富临床评估和个性化治疗方案。随着数字医疗的发展,需要进一步开展研究,以提高设备的准确性,评估用户的可接受性,并将这些工具整合到远程医疗基础设施中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review.

Introduction: Wearable devices and telemedicine are increasingly used to track health-related parameters across patient populations. Since gait and postural control deficits contribute to mobility deficits in persons with movement disorders and multiple sclerosis, we thought it interesting to evaluate devices in telemedicine for gait and posture monitoring in such patients.

Methods: For this systematic review, we searched the electronic databases MEDLINE (PubMed), SCOPUS, Cochrane Library, and SPORTDiscus. Of the 452 records retrieved, 12 met the inclusion/exclusion criteria. Data about (1) study characteristics and clinical aspects, (2) technical, and (3) telemonitoring and teleconsulting were retrieved, The studies were quality assessed.

Results: All studies involved patients with Parkinson's disease; most used triaxial accelerometers for general assessment (n = 4), assessment of motor fluctuation (n = 3), falls (n = 2), and turning (n = 3). Sensor placement and count varied widely across studies. Nine used lab-validated algorithms for data analysis. Only one discussed synchronous patient feedback and asynchronous teleconsultation.

Conclusions: Wearable devices enable real-world patient monitoring and suggest biomarkers for symptoms and behaviors related to underlying gait disorders. thus enriching clinical assessment and personalized treatment plans. As digital healthcare evolves, further research is needed to enhance device accuracy, assess user acceptability, and integrate these tools into telemedicine infrastructure.

Prospero registration: CRD42022355460.

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