Modulation of Arm Swing Frequency and Gait Using Rhythmic Tactile Feedback
Modulation of Arm Swing Frequency and Gait Using Rhythmic Tactile Feedback
复制标题
DOI：
10.1109/tnsre.2023.3249628
复制
发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
Mohsen Alizadeh Noghani;Md. Tanzid Hossain;B. Hejrati
中科院分区：
文献类型：
--
作者：
Mohsen Alizadeh Noghani;Md. Tanzid Hossain;B. Hejrati
由于上肢和下肢之间的神经耦合以及肢体间协调在人类步态中的重要性，因此建议将重点放在适当的手臂摆动上，这应该是行走障碍患者步态康复的一部分。尽管其至关重要，但缺乏有效的方法来利用手臂摆动包含步态康复的潜力。在这项工作中，我们提出了一个轻量级的无线触觉反馈系统，提供高度同步的振动触觉线索的武器，以操纵手臂摆动和调查的影响，这种操纵对受试者的步态在一项研究中有12名参与者（20-44岁）。我们发现，与没有反馈的正常行走期间的基线值相比，所开发的系统通过显着减少和增加这些参数分别高达20%和35%，有效地调整了受试者的手臂摆动和步幅周期时间。特别是，手臂和腿的循环时间的减少转化为步行速度的约19.3%（平均）的大幅增加。受试者对反馈的反应也在瞬态和稳态行走中进行了量化。对来自瞬态响应的稳定时间的分析揭示了手臂和腿的运动对用于减少循环时间的反馈的快速和类似的适应（即，提高速度）。相反，由于增加循环时间的反馈，观察到较大的稳定时间以及臂和腿的响应之间的时间差（即，减速）。结果清楚地表明，潜在的开发系统，以诱导不同的手臂摆动模式，以及所提出的方法，通过利用对步态训练的影响interlimb神经耦合调制关键步态参数的能力。
Due to the neural coupling between upper and lower limbs and the importance of interlimb coordination in human gait, it has been recommended that focusing on appropriate arm swing should be a part of gait rehabilitation in individuals with walking impairments. Despite its vital importance, there is a lack of effective methods to exploit the potential of arm swing inclusion for gait rehabilitation. In this work, we present a lightweight and wireless haptic feedback system that provides highly synchronized vibrotactile cues to the arms to manipulate arm swing and investigate the effects of this manipulation on the subjects’ gait in a study with 12 participants (20-44 years). We found the developed system effectively adjusted the subjects’ arm swing and stride cycle times by significantly reducing and increasing those parameters by up to 20% and 35%, respectively, compared to their baseline values during normal walking with no feedback. Particularly, the reduction of arms’ and legs’ cycle times translated into a substantial increase of about 19.3% (on average) in walking speed. The response of the subjects to the feedback was also quantified in both transient and steady-state walking. The analysis of settling times from the transient responses revealed a fast and similar adaptation of both arms’ and legs’ movements to the feedback for reducing cycle time (i.e., increasing speed). Conversely, larger settling times and the time differences between arms’ and legs’ responses were observed due to feedback for increasing cycle times (i.e., reducing speed). The results clearly demonstrate the potential of the developed system to induce different arm-swing patterns as well as the ability of the proposed method to modulate key gait parameters through capitalizing on the interlimb neural coupling with implications for gait training.