Predictors of Step Length from Surface Electromyography and Body Impedance Analysis Parameters.
Predictors of Step Length from Surface Electromyography and Body Impedance Analysis Parameters.
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DOI：
10.3390/s22155686
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发表时间：
2022-07-29
期刊：
影响因子：
3.9
通讯作者：
Kim, Byung-Jo
中科院分区：
文献类型：
--
作者：
Park, Jin-Woo;Baek, Seol-Hee;Sung, Joo Hye;Kim, Byung-Jo
步长是健康状况的重要标志。然而，很少有研究调查可能影响步长的可修改因素。使用GAITRite®系统进行了一项探索性横断面研究，以评估体表肌电(SEMG)和身体阻抗分析(BIA)参数，并结合个人人口统计学数据预测个人步长。前瞻性地招募了年龄在40-80岁的健康受试者，并建立了三个预测个体步长的模型。第一个模型是最适合的模型(R2=0.244，p<；0.001)；最大屈膝时的均方根值和高度被作为显著变量。第二个模型使用了除表面肌电信号变量以外的所有候选变量，并显示年龄、身高和体脂质量是预测平均步长的显著变量(R2=0.198，p<；0.001)。第三个模型被用来预测步长，没有sEMG和BIA，显示只有年龄和身高仍然有意义(R2=0.158，p<；0.001)。本研究显示膝关节最大屈曲力量时的均方根值、身高、年龄和BFM是预测个人步长的重要指标，可能提示加强屈膝功能和减少BFM可能有助于改善步长。
Step length is a critical hallmark of health status. However, few studies have investigated the modifiable factors that may affect step length. An exploratory, cross-sectional study was performed to evaluate the surface electromyography (sEMG) and body impedance analysis (BIA) parameters, combined with individual demographic data, to predict the individual step length using the GAITRite® system. Healthy participants aged 40–80 years were prospectively recruited, and three models were built to predict individual step length. The first model was the best-fit model (R2 = 0.244, p < 0.001); the root mean square (RMS) values at maximal knee flexion and height were included as significant variables. The second model used all candidate variables, except sEMG variables, and revealed that age, height, and body fat mass (BFM) were significant variables for predicting the average step length (R2 = 0.198, p < 0.001). The third model, which was used to predict step length without sEMG and BIA, showed that only age and height remained significant (R2 = 0.158, p < 0.001). This study revealed that the RMS value at maximal strength knee flexion, height, age, and BFM are important predictors for individual step length, and possibly suggesting that strengthening knee flexor function and reducing BFM may help improve step length.
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影响因子：
4.6
作者：
Chang MC;Park S;Cho JY;Lee BJ;Hwang JM;Kim K;Park D
通讯作者：
Park D
影响因子：
2.5
作者：
LaRoche, Dain P.;Kralian, Rachel J.;Millett, Erica D.
通讯作者：
Millett, Erica D.
影响因子：
5.9
作者：
Charlton, Karen;Batterham, Marijka;McLean, Cameron
通讯作者：
McLean, Cameron
DOI：
10.12659/msm.904474
发表时间：
2017-10-14
期刊：
Medical science monitor : international medical journal of experimental and clinical research
影响因子：
--
作者：
Choi W;Han D;Kim J;Lee S
通讯作者：
Lee S
影响因子：
2
作者：
Flansbjer, Ulla-Britt;Lexell, Jan;Brogardh, Christina
通讯作者：
Brogardh, Christina