Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days.
Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days.
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DOI：
10.1371/journal.pone.0096675
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Hausdorff JM
中科院分区：
文献类型：
--
作者：
Weiss A;Herman T;Giladi N;Hausdorff JM
帕金森病（PD）患者有很高的跌倒风险。先前用于评估跌倒风险的方法是基于在给定时间点的自我报告或测试，因此可能不足以最佳地捕获跌倒风险。我们首次测试了从3天连续记录中得出的指标是否与PD中的跌倒风险相关。107名患者（Hoehn & Yahr分级：2.6±0.7）在下背部佩戴小型身体固定传感器（3D加速度计）3天。步行量（例如，每3天的步数）和质量（例如，步态变异性的频率衍生测量）。根据跌倒史将受试者分为跌倒者或非跌倒者。受试者还被随访了一年，以评估从非跌倒者向跌倒者转变的预测因素。3天的加速推导出的措施是显着不同的跌倒者和非跌倒者，并与以前验证的跌倒风险的措施显着相关。两组的步行量相似。相比之下，跌倒者走路时具有更高的步间变异性，例如，跌倒者（0.78±0.17 Hz）与非跌倒者（0.71±0.07 Hz）相比，主频率的前后宽度更大（p =0.012）。 在测试前一年未报告福尔斯跌倒的受试者中，传感器衍生的测量可预测首次跌倒的时间（p = 0.0034），而许多传统测量无法预测。 考克斯回归分析显示，前后宽度与随访期间跌倒时间显著相关（p=0.0039），即使在调整传统测量后也是如此。 这些发现表明，连续佩戴的身体固定传感器可以评估PD患者的跌倒风险。这种基于传感器的方法能够识别从非跌倒者到跌倒者的转变，而许多传统的指标并不成功。这种方法可以促进跌倒风险的早期检测，并且可以在未来帮助降低与福尔斯相关的高成本。
Patients with Parkinson's disease (PD) suffer from a high fall risk. Previous approaches for evaluating fall risk are based on self-report or testing at a given time point and may, therefore, be insufficient to optimally capture fall risk. We tested, for the first time, whether metrics derived from 3 day continuous recordings are associated with fall risk in PD. 107 patients (Hoehn & Yahr Stage: 2.6±0.7) wore a small, body-fixed sensor (3D accelerometer) on lower back for 3 days. Walking quantity (e.g., steps per 3-days) and quality (e.g., frequency-derived measures of gait variability) were determined. Subjects were classified as fallers or non-fallers based on fall history. Subjects were also followed for one year to evaluate predictors of the transition from non-faller to faller. The 3 day acceleration derived measures were significantly different in fallers and non-fallers and were significantly correlated with previously validated measures of fall risk. Walking quantity was similar in the two groups. In contrast, the fallers walked with higher step-to-step variability, e.g., anterior-posterior width of the dominant frequency was larger (p = 0.012) in the fallers (0.78±0.17 Hz) compared to the non-fallers (0.71±0.07 Hz). Among subjects who reported no falls in the year prior to testing, sensor-derived measures predicted the time to first fall (p = 0.0034), whereas many traditional measures did not. Cox regression analysis showed that anterior-posterior width was significantly (p = 0.0039) associated with time to fall during the follow-up period, even after adjusting for traditional measures. These findings indicate that a body-fixed sensor worn continuously can evaluate fall risk in PD. This sensor-based approach was able to identify transition from non-faller to faller, whereas many traditional metrics were not successful. This approach may facilitate earlier detection of fall risk and may in the future, help reduce high costs associated with falls.
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MHealth的承诺：可穿戴传感器的日常活动监测和结果评估。
影响因子：
4.2
作者：
Dobkin BH;Dorsch A
通讯作者：
Dorsch A
影响因子：
7.4
作者：
Fiordelli M;Diviani N;Schulz PJ
通讯作者：
Schulz PJ
DOI：
10.1111/j.1532-5415.2005.53455.x
发表时间：
2005-09-01
影响因子：
6.3
作者：
Lamb, SE;Jorstad-Stein, EC;Becker, C
通讯作者：
Becker, C
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
DOI：
10.1155/2013/906274
发表时间：
2013
期刊：
Parkinson's disease
影响因子：
--
作者：
Allen NE;Schwarzel AK;Canning CG
通讯作者：
Canning CG