Variation of Kinematic Metrics With Perceived Fatigue in Ice Skating Measured Using Wearable Sensors.

IF 2.5 2区 医学 Q2 SPORT SCIENCES
Aminreza Khandan, Ramin Fathian, Jason P Carey, Hossein Rouhani
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引用次数: 0

Abstract

Abstract: Khandan, A, Fathian, R, Carey, JP, and Rouhani, H. Variation of kinematic metrics with perceived fatigue in ice skating measured using wearable sensors. J Strength Cond Res XX(X): 000-000, 2025-Enabling to obtain ice skaters' kinematics, wearable technology can track skaters' performance and thus detect performance fatigue in real-world settings. Therefore, this study aimed to investigate the potential of wearable inertial measurement units (IMU) to track skaters' performance, predict perceived fatigue, and detect severe fatigue onset before serious fatigue-related sequelae. In a multistage aerobic experiment, 19 subjects, 2 groups of high- and low-caliber skaters clustered by a novel algorithm, were asked to skate at a self-selected speed around an ice rink. During the experiments, subjects skated with 2 IMUs on their dominant leg's shank and thigh and 4 IMUs on their skates, pelvis, and trunk. These IMU outputs were used to develop 22 kinematic metrics whose variations were monitored with self-reported perceived fatigue by a linear mixed model, considering the effect of caliber. Finally, a machine learning algorithm was implemented to predict severe fatigue onset using the proposed kinematic metrics. The variations of intersegment correlation, joint angle fluctuations, and trunk angle were considerable (6-17% variation) during this intermittent skating experiment. In addition, a gradient-boosting model could predict severe fatigue onset with average precision, sensitivity, accuracy, and F1 score of 75, 81, 74, and 78%, respectively, in 196 skating stages captured from the subjects. The proposed kinematic metrics, as performance indicators, could also indicate perceived fatigue during an aerobic ice skating experiment and predict severe fatigue onset. The kinematic metrics introduced in this study equip coaches with quantitative tools to monitor performance and assess perceived fatigue in ice skating.

用可穿戴传感器测量滑冰运动中运动指标随感知疲劳的变化。
[摘要]Khandan, A, Fathian, R, Carey, JP,和Rouhani, H.基于可穿戴传感器的滑冰运动疲劳测量。[J]强度与控制,XX(X): 000-000, 2025-可穿戴技术可以获得滑冰运动员的运动学,从而跟踪滑冰运动员的表现,从而检测现实环境中的表现疲劳。因此,本研究旨在探讨可穿戴惯性测量装置(IMU)在跟踪滑冰运动员表现、预测感知疲劳以及在严重疲劳相关后遗症出现之前检测严重疲劳发作方面的潜力。在一项多阶段有氧实验中,19名受试者被要求以自己选择的速度在溜冰场周围滑冰,这19名受试者分为高水平和低水平两组,通过一种新颖的算法聚集在一起。在实验过程中,受试者在其主要腿的小腿和大腿上放置2个imu,在他们的冰鞋、骨盆和躯干上放置4个imu。这些IMU输出用于开发22个运动学指标,其变化通过线性混合模型监测自我报告的感知疲劳,考虑口径的影响。最后,利用提出的运动学指标实现了一种机器学习算法来预测严重疲劳发作。在间歇滑冰实验中,节间相关性、关节角度波动和躯干角度变化较大(6-17%)。此外,梯度增强模型在196个滑冰阶段预测严重疲劳发作的平均精度、灵敏度、准确度和F1分数分别为75、81、74和78%。提出的运动学指标,作为性能指标,也可以表明在有氧滑冰实验中的感知疲劳和预测严重疲劳的发作。本研究中引入的运动学指标为教练提供了定量的工具来监测滑冰的表现和评估感知疲劳。
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来源期刊
CiteScore
6.70
自引率
9.40%
发文量
384
审稿时长
3 months
期刊介绍: The editorial mission of The Journal of Strength and Conditioning Research (JSCR) is to advance the knowledge about strength and conditioning through research. A unique aspect of this journal is that it includes recommendations for the practical use of research findings. While the journal name identifies strength and conditioning as separate entities, strength is considered a part of conditioning. This journal wishes to promote the publication of peer-reviewed manuscripts which add to our understanding of conditioning and sport through applied exercise science.
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