Kuliś Szymon, Pietraszewski Przemysław, Callegari Bianca
Department of Rehabilitation, Józef Piłsudski University of Physical Education, 00-968 Warsaw, Poland.
Institute of Sport Sciences, Academy of Physical Education, 40-065 Katowice, Poland.
Sensors (Basel). 2025 Jul 10;25(14):4301. doi: 10.3390/s25144301.
Physiological tremor analysis is a practical tool for assessing the neuromuscular impacts of sport-specific training. The purpose of this study was to examine and compare the physiological characteristics of lower limb resting postural tremor in athletes from Poland's national speed skating team, following both sprint and endurance workouts. The study included 19 male, well-trained, elite athletes (with a mean age of 18 ± 3.1 years, body mass of 71.4 ± 10.1 kg, height of 178.5 ± 9.0 cm, and training experience of 12.6 ± 2.8 years) and a control group of 19 physically active but non-athlete men (with a mean age of 19 ± 2.3 years, body mass of 78.9 ± 12.1 kg, and height of 181.5 ± 11.0 cm). This group was assessed under resting conditions to provide baseline reference values for physiological tremor and to evaluate whether the neuromuscular tremor response is specific to trained athletes. Tremor amplitude and frequency were measured using an accelerometer, with data log-transformed to normalize the power spectrum distribution. Key findings indicate a significant effect of training condition on tremor amplitude in the low-frequency range (L(2_5); F = 38.42; < 0.0001; η = 0.68) and high-frequency range (L(9_14); F = 19.19; < 0.0001; η = 0.51). Post hoc analysis showed that tremor amplitude increased significantly after both sprint ( < 0.001) and endurance training ( < 0.001) compared to rest. No significant differences were observed between sprint and endurance training conditions for L(2_5) ( = 0.1014), but sprint training resulted in a greater increase in tremor in the high-frequency range (L(9_14); < 0.0001). Tremor frequency (F(2_5) and F(9_14)) also increased significantly post-training. Notably, no differences were observed between limbs, indicating symmetrical neuromuscular adaptation. These findings highlight the utility of tremor analysis in monitoring neuromuscular fatigue and performance in speed skaters. Future research should explore the application of this method in broader athletic populations and evaluate its potential integration into training programs.
生理震颤分析是评估特定运动训练对神经肌肉影响的一种实用工具。本研究的目的是检查和比较波兰国家速滑队运动员在短跑和耐力训练后下肢静息姿势性震颤的生理特征。该研究包括19名训练有素的优秀男性运动员(平均年龄18±3.1岁,体重71.4±10.1千克,身高178.5±9.0厘米,训练经验12.6±2.8年)以及19名有体育活动但非运动员的男性组成的对照组(平均年龄19±2.3岁,体重78.9±12.1千克,身高181.5±11.0厘米)。对该组在静息条件下进行评估,以提供生理震颤的基线参考值,并评估神经肌肉震颤反应是否特定于受过训练的运动员。使用加速度计测量震颤幅度和频率,并对数据进行对数变换以归一化功率谱分布。主要研究结果表明,训练条件对低频范围(L(2_5);F = 38.42;<0.0001;η = 0.68)和高频范围(L(9_14);F = 19.19;<0.0001;η = 0.51)的震颤幅度有显著影响。事后分析表明,与休息相比,短跑(<0.001)和耐力训练(<0.001)后震颤幅度均显著增加。在低频范围(L(2_5)),短跑和耐力训练条件之间未观察到显著差异(= 0.1014),但短跑训练导致高频范围(L(9_14))的震颤增加幅度更大(<0.0001)。训练后震颤频率(F(2_5)和F(9_14))也显著增加。值得注意的是,两下肢之间未观察到差异,表明神经肌肉适应性对称。这些发现突出了震颤分析在监测速滑运动员神经肌肉疲劳和表现方面的实用性。未来的研究应探索该方法在更广泛运动员群体中的应用,并评估其潜在地融入训练计划的情况。