Technological evaluation of strategies to get out of bed by people with Parkinson's disease: Insights from multisite wearable sensors.

Frontiers in Medical Technology Pub Date : 2022-08-25 eCollection Date: 2022-01-01 DOI:10.3389/fmedt.2022.922218
Jirada Sringean, Chusak Thanawattano, Roongroj Bhidayasiri
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引用次数: 2

Abstract

Background: Difficulty getting out of bed is a common night-time and early morning manifestation of Parkinson's disease (PD), rated by 40% of the patients as their most concerning motor symptoms. However, current assessment methods are based on clinical interviews, video analysis, and clinical scales as objective outcome measures are not yet available.

Objective: To study the technical feasibility of multisite wearable sensors in the assessment of the supine-to-stand (STS) task as a determinant of the ability to get out of bed in patients with PD and age-matched control subjects, and develop relevant objective outcome measures.

Methods: The STS task was assessed in 32 patients with PD (mean Hoehn and Yahr; HY = 2.5) in the early morning before their first dopaminergic medication, and in 14 control subjects, using multisite wearable sensors (NIGHT-Recorder®; trunk, both wrists, and both ankles) in a sleep laboratory. Objective getting out of bed parameters included duration, onset, velocity and acceleration of truncal rotation, and angle deviation (a°) from the z-axis when subjects rose from the bed at different angles from the x-axis (10°, 15°, 30°, 45°, and 60°) as measures of truncal lateral flexion. Movement patterns were identified from the first body part or parts that moved. Correlation analysis was performed between these objective outcomes and standard clinical rating scales.

Results: Compared to control subjects, the duration of STS was significantly longer in patients with PD (p = 0.012), which is associated with a significantly slower velocity of truncal rotation (p = 0.003). Moderate and significant correlations were observed between the mean STS duration and age, and the Nocturnal Hypokinesia Questionnaire. The velocity of truncal rotation negatively and significantly correlated with HY staging. Any arm and leg moved together as the first movement significantly correlated with UPDRS-Axial and item #28. Several other correlations were also observed.

Conclusion: Our study was able to demonstrate the technical feasibility of using multisite wearable sensors to quantitatively assess early objective outcome measures of the ability of patients with PD to get out of bed, which significantly correlated with axial severity scores, suggesting that axial impairment could be a contributing factor in difficulty getting out of bed. Future studies are needed to refine these outcome measures for use in therapeutic trials related to nocturia or early morning akinesia in PD.

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帕金森病患者起床策略的技术评估:来自多站点可穿戴传感器的见解。
背景:起床困难是帕金森病(PD)常见的夜间和清晨表现,40%的患者认为这是他们最关心的运动症状。然而,目前的评估方法基于临床访谈、视频分析和临床量表,作为客观的结果衡量标准,尚不可用。目的:研究多部位可穿戴传感器在评估帕金森病患者和年龄匹配的对照受试者仰卧-站立(STS)任务中的技术可行性,并制定相关的客观结果指标。方法:在32名帕金森病患者(平均Hoehn和Yahr;HY=2.5)首次服用多巴胺能药物前的清晨,以及14名对照受试者在睡眠实验室中使用多点可穿戴传感器(NIGHT Recorder®;躯干、手腕和脚踝)评估STS任务。目的下床参数包括躯干旋转的持续时间、开始时间、速度和加速度,以及受试者从床上以不同角度(10°、15°、30°、45°和60°)起床时与z轴的角度偏差(a°),作为躯干侧屈的测量。运动模式是从第一个或多个运动的身体部位识别出来的。在这些客观结果和标准临床评分量表之间进行相关性分析。结果:与对照受试者相比,帕金森病患者STS的持续时间明显更长(p=0.012),这与躯干旋转速度明显较慢(p=0.003)有关。STS的平均持续时间与年龄和夜间运动功能减退问卷之间存在中度和显著相关性。躯干旋转速度与HY分期呈显著负相关。作为第一次移动,任何手臂和腿一起移动都与UPDRS轴向和项目#28显著相关。还观察到其他一些相关性。结论:我们的研究能够证明使用多部位可穿戴传感器定量评估PD患者下床能力的早期客观结果指标的技术可行性,这与轴向严重程度评分显著相关,表明轴向损伤可能是导致下床困难的一个因素。未来的研究需要完善这些结果指标,用于与帕金森病患者夜尿症或清晨失神症相关的治疗试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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