College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Sensors (Basel). 2022 Jul 20;22(14):5416. doi: 10.3390/s22145416.
Due to a ship's extreme motion, there is a risk of injuries and accidents as people may become unbalanced and be injured or fall from the ship. Thus, individuals must adjust their movements when walking in an unstable environment to avoid falling or losing balance. A person's ability to control their center of mass (COM) during lateral motion is critical to maintaining balance when walking. Dynamic balancing is also crucial to maintain stability while walking. The margin of stability (MOS) is used to define this dynamic balancing. This study aimed to develop a model for predicting balance control and stability in walking on ships by estimating the peak COM excursion and MOS variability using accelerometers. We recruited 30 healthy individuals for this study. During the experiment, participants walked for two minutes at self-selected speeds, and we used a computer-assisted rehabilitation environment (CAREN) system to simulate the roll motion. The proposed prediction models in this study successfully predicted the peak COM excursion and MOS variability. This study may be used to protect and save seafarers or passengers by assessing the risk of balance loss.
由于船舶的剧烈运动，人们可能会失去平衡而受伤或从船上坠落，因此存在受伤和事故的风险。因此，当人们在不稳定的环境中行走时，必须调整他们的动作，以避免摔倒或失去平衡。当人在侧向运动时，控制其质心（COM）的能力对于保持行走时的平衡至关重要。动态平衡对于行走时保持稳定性也很重要。稳定裕度（MOS）用于定义这种动态平衡。本研究旨在通过使用加速度计估计 COM 峰值偏移和 MOS 变异性来开发一种用于预测船舶上行走时平衡控制和稳定性的模型。我们招募了 30 名健康个体参与本研究。在实验中，参与者以自选速度行走两分钟，我们使用计算机辅助康复环境（CAREN）系统模拟横摇运动。本研究提出的预测模型成功地预测了 COM 峰值偏移和 MOS 变异性。本研究可以通过评估平衡丧失的风险来保护和拯救海员或乘客。
