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运动过程中肌肉力量基于数量和时间估计的可能预测公式。

Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion.

作者信息

Matsumura Umi, Kai Ayana, Numata Miku, Lee Yeonghee, Yamamoto Shimpei, Tsurusaki Toshiya

机构信息

Health Sciences, Nagasaki University Graduate School of Biomedical Sciences, Japan.

Department of Rehabilitation, Kuroki Memorial Hospital, Japan.

出版信息

J Phys Ther Sci. 2020 Jan;32(1):27-32. doi: 10.1589/jpts.32.27. Epub 2020 Jan 22.

Abstract

[Purpose] To examine the validity of the predictive formulas based on the angle information of the segment center of mass and moments of inertia, and to propose a joint moment estimation method. [Participants and Methods] Twenty nine young healthy adults were divided into two groups: the Creation group (20 adults) was needed to create the prediction formulas, and the Verification group (9 adults) was needed to verify the formulas. By monitoring the Creation group, the angular information from inertial motion sensors and moments of inertia of each limb were used to estimate actual ankle joint moment and knee joint moment. Thereafter, the actual joint moments was derived from the Verification group and compared to the predicted values via Pearson correlations. [Results] Good to excellent correlations were obtained between the actual joint moments of the two groups for most of the motions. [Conclusion] It is suggested that the predictive formulas created from the angle information of the segment center of mass and moments of inertia can be used for an approximate estimation of the lower limb joint moments in the sagittal plane and more clinically useful tools need to be considered in the future.

摘要

[目的] 检验基于节段质心角度信息和转动惯量的预测公式的有效性,并提出一种关节力矩估计方法。[参与者与方法] 29名年轻健康成年人被分为两组:创建组(20名成年人)用于创建预测公式,验证组(9名成年人)用于验证公式。通过监测创建组,利用惯性运动传感器的角度信息和各肢体的转动惯量来估计实际踝关节力矩和膝关节力矩。此后,从验证组获得实际关节力矩,并通过Pearson相关性将其与预测值进行比较。[结果] 两组在大多数运动中的实际关节力矩之间获得了良好到优秀的相关性。[结论] 表明从节段质心角度信息和转动惯量创建的预测公式可用于矢状面下肢关节力矩的近似估计,未来需要考虑更具临床实用性的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49b4/7008027/e2dc0a36d1d7/jpts-32-027-g001.jpg

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