Measuring freezing of gait during daily-life: an open-source, wearable sensors approach.
Measuring freezing of gait during daily-life: an open-source, wearable sensors approach.
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DOI：
10.1186/s12984-020-00774-3
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发表时间：
2021-01-04
影响因子：
5.1
通讯作者：
Nutt JG
中科院分区：
文献类型：
--
作者：
Mancini M;Shah VV;Stuart S;Curtze C;Horak FB;Safarpour D;Nutt JG
虽然越来越多的研究集中在实验室环境下对步态冻结(雾)的测量和检测，但仅有少数研究尝试使用人体佩戴的传感器来测量日常生活中的雾。在这里，我们提出了一种新的算法来检测实验室中的一组帕金森氏病(PD)患者的雾(研究I)，并将该算法扩展到第二组日常生活中在家的PD患者(研究II)。在研究一中，我们描述了我们的新型雾检测算法，该算法基于安装在脚、胫骨和腰部的五个惯性传感器，在40名帕金森氏症患者行走时进行。我们将算法的性能与两位专家临床评分员进行了比较，这两位评分员根据雾发作的持续时间对行走和转身视频记录中的雾发作数进行了评分：非常短(<； 1，S)、短(2-5，S)和长(>； 5，S)。在研究II中，48名帕金森病患者(有雾和无雾)的不同队列在他们的脚和腰部佩戴了3个可穿戴传感器7天。我们对冷冻的主要结果测量是花费在冷冻上的时间百分比及其变异性。我们显示，在实验室(研究I)检测到的雾发作次数中，临床评分员与算法(如果在脚上放置可穿戴传感器的情况下)对于短雾时段和长雾时段的一致性中等到很好，但对于非常短的雾时段则不是。当将这一方法扩展到无人监督的家庭监测(研究II)时，我们发现有雾和没有雾的人之间的冻结时间百分比和冻结时间的变异性不同(p <； 005)，并且短雾时段占总雾时段的69%。我们的发现表明，在实验室中使用脚部惯性传感器对帕金森病患者进行冰冻的客观测量与临床评分很好地匹配。尽管在日常生活中发现的结果是有希望的，但它们需要得到验证。在社区生活中使用可穿戴技术对雾气进行客观测量将有助于管理帕金森病患者行动能力障碍这一令人痛苦的特征。
Although a growing number of studies focus on the measurement and detection of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure FoG during daily life with body-worn sensors. Here, we presented a novel algorithm to detect FoG in a group of people with Parkinson’s disease (PD) in the laboratory (Study I) and extended the algorithm in a second cohort of people with PD at home during daily life (Study II). In Study I, we described of our novel FoG detection algorithm based on five inertial sensors attached to the feet, shins and lumbar region while walking in 40 participants with PD. We compared the performance of the algorithm with two expert clinical raters who scored the number of FoG episodes from video recordings of walking and turning based on duration of the episodes: very short (< 1 s), short (2–5 s), and long (> 5 s). In Study II, a different cohort of 48 people with PD (with and without FoG) wore 3 wearable sensors on their feet and lumbar region for 7 days. Our primary outcome measures for freezing were the % time spent freezing and its variability. We showed moderate to good agreement in the number of FoG episodes detected in the laboratory (Study I) between clinical raters and the algorithm (if wearable sensors were placed on the feet) for short and long FoG episodes, but not for very short FoG episodes. When extending this methodology to unsupervised home monitoring (Study II), we found that percent time spent freezing and the variability of time spent freezing differentiated between people with and without FoG (p < 0.05), and that short FoG episodes account for 69% of the total FoG episodes. Our findings showed that objective measures of freezing in PD using inertial sensors on the feet in the laboratory are matching well with clinical scores. Although results found during daily life are promising, they need to be validated. Objective measures of FoG with wearable technology during community-living would be useful for managing this distressing feature of mobility disability in PD.
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影响因子：
48
作者：
Nonnekes, Jorik;Snijders, Anke H.;Bloem, Bastiaan R.
通讯作者：
Bloem, Bastiaan R.
影响因子：
3.4
作者：
Mancini M;Weiss A;Herman T;Hausdorff JM
通讯作者：
Hausdorff JM
影响因子：
6.7
作者：
Jenkinson, C;Fitzpatrick, R;Hyman, N
通讯作者：
Hyman, N
影响因子：
4.1
作者：
Morris, Tiffany R.;Cho, Catherine;Moore, Steven T.
通讯作者：
Moore, Steven T.
影响因子：
8.6
作者：
Giladi, Nir;Nieuwboer, Alice
通讯作者：
Nieuwboer, Alice