Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running.

Wearable Sensors Detect Differences between the Sexes in Lower Limb Electromyographic Activity and Pelvis 3D Kinematics during Running.
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DOI:
10.3390/s20226478
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发表时间:
2020-11-12
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Martínez-Gramage J
Martínez-Gramage J
中科院分区:
其他
文献类型:
--
作者:
Moltó IN;Albiach JP;Amer-Cuenca JJ;Segura-Ortí E;Gabriel W;Martínez-Gramage J

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每年有50%的跑步者受到伤害。因此,更多关于跑步生物力学的研究正在发表;这些研究确定了有助于预防受伤的因素。科学证据表明,休闲跑步者应该使用个性化的生物力学训练计划,不仅要提高他们的表现,而且要防止由于业余运动员无法忍受增加的负荷和/或由于不良的形式而造成的伤害。本研究概述了男性和女性在自选速度跑步过程中下肢肌肉激活和骨盆关节活动范围的不同规范模式。方法:38名18 ~ 49岁的健康跑者参加了这项工作。我们检查了八个肌肉应用两个可穿戴表面肌电图传感器和惯性传感器的三维(3D)骨盆运动学。结果如下:在第一个双漂浮期(p = 0.013)和第二个站立期(p = 0.003),以及在第二个站立期(p = 0.028),臀大肌激活的差异最大。在这两种情况下,激活分布是更均匀的男性,并提出了显着低于女性获得的值。此外,在整个跑步周期中,女性的总股内侧肌激活百分比显著更高,女性的中位数(第25 - 75百分位数)为12.50%(9.25-14),男性为10%(9-12)。女性在自选速度下跑步时骨盆旋转的范围也更大(p = 0.011)。结论:了解男性和女性之间在肌肉激活和骨盆运动学值方面的差异,可能特别有助于卫生专业人员发现可能有受伤风险的运动员。
Each year, 50% of runners suffer from injuries. Consequently, more studies are being published about running biomechanics; these studies identify factors that can help prevent injuries. Scientific evidence suggests that recreational runners should use personalized biomechanical training plans, not only to improve their performance, but also to prevent injuries caused by the inability of amateur athletes to tolerate increased loads, and/or because of poor form. This study provides an overview of the different normative patterns of lower limb muscle activation and articular ranges of the pelvis during running, at self-selected speeds, in men and women. Methods: 38 healthy runners aged 18 to 49 years were included in this work. We examined eight muscles by applying two wearable superficial electromyography sensors and an inertial sensor for three-dimensional (3D) pelvis kinematics. Results: the largest differences were obtained for gluteus maximus activation in the first double float phase (p = 0.013) and second stance phase (p = 0.003), as well as in the gluteus medius in the second stance phase (p = 0.028). In both cases, the activation distribution was more homogeneous in men and presented significantly lower values than those obtained for women. In addition, there was a significantly higher percentage of total vastus medialis activation in women throughout the running cycle with the median (25th–75th percentile) for women being 12.50% (9.25–14) and 10% (9–12) for men. Women also had a greater range of pelvis rotation during running at self-selected speeds (p = 0.011). Conclusions: understanding the differences between men and women, in terms of muscle activation and pelvic kinematic values, could be especially useful to allow health professionals detect athletes who may be at risk of injury.
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