Lorenz Dana L, van den Bogert Antonie J
Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, Ohio, United States.
Department of Mechanical Engineering, Cleveland State University, Cleveland, Ohio, United States.
PeerJ. 2024 Apr 29;12:e17256. doi: 10.7717/peerj.17256. eCollection 2024.
Humans have a remarkable capability to maintain balance while walking. There is, however, a lack of publicly available research data on reactive responses to destabilizing perturbations during gait.
Here, we share a comprehensive dataset collected from 10 participants who experienced random perturbations while walking on an instrumented treadmill. Each participant performed six 5-min walking trials at a rate of 1.2 m/s, during which rapid belt speed perturbations could occur during the participant's stance phase. Each gait cycle had a 17% probability of being perturbed. The perturbations consisted of an increase of belt speed by 0.75 m/s, delivered with equal probability at 10%, 20%, 30%, 40%, 50%, 60%, 70%, or 80% of the stance phase. Data were recorded using motion capture with 25 markers, eight inertial measurement units (IMUs), and electromyography (EMG) from the tibialis anterior (TA), soleus (SOL), lateral gastrocnemius (LG), rectus femoris (RF), vastus lateralis (VL), vastus medialis (VM), biceps femoris (BF), and gluteus maximus (GM). The full protocol is described in detail.
We provide marker trajectories, force plate data, EMG data, and belt speed information for all trials and participants. IMU data is provided for most participants. This data can be useful for identifying neural feedback control in human gait, biologically inspired control systems for robots, and the development of clinical applications.
人类在行走时具有显著的保持平衡的能力。然而，目前缺乏关于步态中对不稳定扰动的反应性响应的公开研究数据。
在此，我们分享一个综合数据集，该数据集来自10名参与者，他们在装有仪器的跑步机上行走时经历了随机扰动。每位参与者以1.2米/秒的速度进行了6次5分钟的行走试验，在此期间，在参与者的站立阶段可能会出现快速的皮带速度扰动。每个步态周期有17%的概率受到扰动。扰动包括皮带速度增加0.75米/秒，在站立阶段的10%、20%、30%、40%、50%、60%、70%或80%等概率下施加。使用25个标记的运动捕捉、8个惯性测量单元（IMU）以及来自胫前肌（TA）、比目鱼肌（SOL）、外侧腓肠肌（LG）、股直肌（RF）、股外侧肌（VL）、股内侧肌（VM）、股二头肌（BF）和臀大肌（GM）的肌电图（EMG）记录数据。完整的方案将详细描述。
我们提供了所有试验和参与者的标记轨迹、测力台数据、EMG数据和皮带速度信息。大多数参与者的IMU数据也已提供。这些数据可用于识别人类步态中的神经反馈控制、机器人的生物启发控制系统以及临床应用的开发。
