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Application of smart bracelet to monitor frailty‐related gait parameters of older Chinese adults: A preliminary study

机译:智能手链在较老年成人的脆弱步骤中的应用:初步研究

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Aim Smart bracelets are popular today. Based on their built‐in motion sensors, they can serve as a cost‐effective method of gait assessment in home‐based care. Few studies have applied smart bracelets in the gait assessment of older Chinese adults. The present study aimed to: (i) establish reference gait parameters of older Chinese adults using smart bracelets under single and dual task; and (ii) explore the differences in gait parameters among non‐frail and pre‐frail Chinese older adults. Methods A total of 50 community‐dwelling older Chinese adults aged ≥50?years wore a smart bracelet sensor in the L3 region of the back and underwent a 10‐m walking test under single‐ and dual‐task conditions. Participants were preliminarily classified into non‐frail and pre‐frail groups based on the Fatigue, Resistance, Ambulation, Illnesses and Loss of Weight scale. Gait parameters including average walking speed, step frequency, root mean square (RMS), acceleration amplitude variability, step variability, step regularity and step symmetry were calculated based on the data exported from the bracelet. Results Multivariate analysis of covariance ( mancova ) analysis showed that older adults had significantly decreased speed and step frequency ( P ??0.05) under the dual cognitive task condition. Pre‐frail older adults showed significantly decreased speed, mediolateral RMS, vertical RMS, anteroposterior RMS, vertical amplitude variability and vertical step regularity compared with non‐frail older adults ( P ??0.05). Conclusions The present study suggested that the decline in gait parameters as a result of frailty could be detected by the smart bracelet sensor. Geriatr Gerontol Int 2018; 18: 1366–1371 .
机译:AIM SMART BRACELETS今天很受欢迎。基于其内置运动传感器,它们可以作为家庭护理中的高速评估的经济高效评估方法。少数研究在老年人的Gait评估中应用了智能手镯。本研究旨在:(i)在单一和双重任务下使用智能手镯建立老年人老年人的参考步态参数; (ii)探讨非体积勒菲和前勒克酿造成年人的步态参数的差异。方法共有50名≥50岁的欧洲居住老年人成年人≥50岁,在后面的L3区域中穿着智能手链传感器,并在单个和双任务条件下进行了10米的行走测试。参与者根据疲劳,抵抗,救护,疾病和体重量损失预先分为非体积和预勒欠群体。基于从手镯导出的数据计算,包括平均步行速度,步进频率,根均线(RMS),加速度幅度可变性,步长,步骤规律和步长对称性。结果协方差(MANCOVA)分析的多变量分析显示,在双重认知任务条件下,老年人的速度和步进频率显着降低(p≤0.05)。与非体积较老年人相比,预体较老年成人显示出显着降低的速度,MediolAllal rms,垂直rms,前后均rms,垂直幅度变异性和垂直步骤规则(p≤≤0.05)。结论本研究表明,智能手链传感器可以检测到由于脆弱而导致的步态参数下降。 GeriaTr Gerontol int 2018; 18:1366-1371。

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