Estimation of sagittal-plane whole-body angular momentum during perturbed and unperturbed gait using simplified body models

IF 1.6 3区心理学 Q4 NEUROSCIENCES

Human Movement Science Pub Date : 2024-01-21 DOI:10.1016/j.humov.2024.103179

J. Zhang , M. van Mierlo , P.H. Veltink , E.H.F. van Asseldonk

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引用次数: 0

Abstract

Human whole-body angular momentum (WBAM) during walking typically follows a consistent pattern, making it a valuable indicator of the state of balance. However, calculating WBAM is labor-intensive, where the kinematic data for all body segments is needed, that is, based on a full-body model. In this study, we focused on selecting appropriate segments for estimating sagittal-plane WBAM during both unperturbed and perturbed gaits, which were segments with significant angular momentum contributions. Those major segments were constructed as a simplified model, and the sagittal-plane WBAM based on a simplified model was calculated by combining the angular momenta of the selected segments. We found that the WBAM estimated by seven-segment models, incorporating the head & torso (HT) and all lower limb segments, provided an average correlation coefficient of 0.99 and relative angular momentum percentage of 96.8% and exhibited the most similar sensitivity to external perturbations compared to the full-body model-based WBAM. Additionally, our findings revealed that the rotational angular momenta (RAM) of lower limb segments were much smaller than their translational angular momenta (TAM). The pair-wise comparisons between simplified models with and without RAMs of lower body segments were observed with no significant difference, indicating that RAMs of lower body segments are neglectable. This may further simplify the WBAM estimation based on the seven-segment model, eliminating the need to estimate the angular velocities of lower limb segments. These findings have practical implications for future studies of using inertial measurement units (IMUs) for estimating WBAM, as our results can help reduce the number of required sensors and simplify kinematics measurement.

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使用简化身体模型估算扰动和非扰动步态时的矢状面全身角动量。

人在行走过程中的全身角动量（WBAM）通常遵循一致的模式，因此是衡量平衡状态的重要指标。然而，计算全身角动量是一项劳动密集型工作，需要所有身体节段的运动学数据，即基于全身模型。在本研究中，我们重点选择了在无扰动和扰动步态中估算矢状面 WBAM 的适当节段，即具有显著角动量贡献的节段。我们将这些主要节段构建为简化模型，并结合所选节段的角动量计算出基于简化模型的矢状面 WBAM。我们发现，包含头部和躯干（HT）以及所有下肢节段的七节段模型估算的 WBAM 平均相关系数为 0.99，相对角动量百分比为 96.8%，与基于全身模型的 WBAM 相比，对外部扰动的敏感性最为相似。此外，我们的研究结果表明，下肢节段的旋转角动量（RAM）远小于其平移角动量（TAM）。有下肢角动量和没有下肢角动量的简化模型之间的成对比较没有显著差异，这表明下肢角动量是可以忽略的。这可能会进一步简化基于七节段模型的 WBAM 估算，从而无需估算下肢节段的角速度。这些发现对未来使用惯性测量单元（IMU）估算 WBAM 的研究具有实际意义，因为我们的结果有助于减少所需的传感器数量并简化运动学测量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Movement Science 医学-神经科学

CiteScore

3.80

自引率

4.80%

发文量

审稿时长

42 days

期刊介绍： Human Movement Science provides a medium for publishing disciplinary and multidisciplinary studies on human movement. It brings together psychological, biomechanical and neurophysiological research on the control, organization and learning of human movement, including the perceptual support of movement. The overarching goal of the journal is to publish articles that help advance theoretical understanding of the control and organization of human movement, as well as changes therein as a function of development, learning and rehabilitation. The nature of the research reported may vary from fundamental theoretical or empirical studies to more applied studies in the fields of, for example, sport, dance and rehabilitation with the proviso that all studies have a distinct theoretical bearing. Also, reviews and meta-studies advancing the understanding of human movement are welcome. These aims and scope imply that purely descriptive studies are not acceptable, while methodological articles are only acceptable if the methodology in question opens up new vistas in understanding the control and organization of human movement. The same holds for articles on exercise physiology, which in general are not supported, unless they speak to the control and organization of human movement. In general, it is required that the theoretical message of articles published in Human Movement Science is, to a certain extent, innovative and not dismissible as just "more of the same."