Soangra Rahul, Lockhart Thurmon E
School of Biological and Health Systems Engineering, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe AZ, 85287, USA.
Biomed Sci Instrum. 2017 Apr;53:359-366.
Previous studies on lateral stepping gait have demonstrated decreased variability and also decreased involvement of central nervous system's active control in the direction of progression. This study sought to further explore this notion through the variability of stride interval time series (SIT) and signal magnitude difference time series (SMD) while forward and lateral walking using an inertial sensor mounted at the sternum. Additionally, this study also explored the effects of dual-tasking on forward and lateral walking variability. Seven young (age 22.6±2.5 years) and seven old participants (age 71.14±6.5 years) were recruited for this study. Participants performed forward and lateral walking on treadmill at their preferred speed with and without dual tasking. The dual task provided was a mental arithmetic task (counting backwards from a random provided number by subtracting the number three). We found that complexity of stride interval time series decreased significantly during lateral walking in both young and older adults (p=0.01). We also found lateral walking affected both young and elderly and the complexity of signal magnitude differences in angular velocity signals reduced (p=0.01) than that at forward walking. We also found significant interaction effects in complexity of SMD signals between direction of progression and age groups. Furthermore, it was also found that dual-tasking affected both forward and lateral walking and both age groups by decreasing fractal properties in SMD (p=0.02). This study explored the complexity (approximate entropy and multiscale entropy) of temporal structure of movement as well as magnitudes of angular velocities and found that there is loss of complexity in both young and older adults due to lateral walking. We also found dual-tasking induced anti-persistence in angular velocities.
先前关于侧向步行动态的研究表明,变异性降低,并且中枢神经系统在行进方向上的主动控制参与度也降低。本研究试图通过使用安装在胸骨处的惯性传感器,在向前和侧向行走时,通过步幅间隔时间序列(SIT)和信号幅度差时间序列(SMD)的变异性,进一步探索这一概念。此外,本研究还探讨了多任务处理对向前和侧向行走变异性的影响。本研究招募了7名年轻参与者(年龄22.6±2.5岁)和7名老年参与者(年龄71.14±6.5岁)。参与者在跑步机上以他们喜欢的速度进行向前和侧向行走,同时进行和不进行多任务处理。提供的多任务是一项心算任务(从随机给出的数字开始倒着数,每次减去3)。我们发现,在年轻人和老年人中,侧向行走时步幅间隔时间序列的复杂性均显著降低(p = 0.01)。我们还发现,侧向行走对年轻人和老年人都有影响,与向前行走相比,角速度信号的信号幅度差的复杂性降低了(p = 0.01)。我们还发现,在行进方向和年龄组之间,SMD信号的复杂性存在显著的交互作用。此外,还发现多任务处理通过降低SMD中的分形特性,对向前和侧向行走以及两个年龄组都有影响(p = 0.02)。本研究探讨了运动时间结构的复杂性(近似熵和多尺度熵)以及角速度的大小,发现年轻人和老年人由于侧向行走都会出现复杂性的丧失。我们还发现多任务处理会在角速度中诱导反持续性。