Barefoot

赤脚
  • 文章类型: Journal Article
    鞋影响内侧纵弓(MLA)的生物力学特性,进而影响足的整体功能。以前大多数关于MLA的研究都是基于传统的皮肤标记运动捕捉,并且很难观察鞋内的真实脚部运动。因此,鞋子参数对跑步过程中自然MLA运动的影响仍然存在疑问。因此,这项研究旨在通过使用高速双荧光成像系统(DFIS)来研究Shod和赤脚跑步之间的MLA运动学差异。招募了15名健康的习惯性后脚跑步者。所有参与者都以3m/s±5%的速度奔跑,并在赤脚和shood条件下高架跑道。使用高速DFIS获取整个站立阶段MLA运动的射线照相图像,并计算了MLA的运动学。使用配对的样本t检验来比较MLA在站立和赤脚条件之间的站立阶段的运动学特征。与赤脚相比,穿鞋表现出显着变化(p<0.05)如下:1)第一meta骨在80%时横向移动较少,前平移减少20%,在站立阶段的10-70%时,优势较小;2)第一meta骨移动的倒置较少,占20-60%,在站立阶段的0-10%时,背屈较少;3)相对于跟骨的第一meta骨的倒置/外翻运动范围(ROM)减小;4)站立阶段的0-70%时的MLA角度减小;5)在Shood状态下,最大MLA角度和MLA角度ROM减小。基于高速DFIS,以上结果表明,穿鞋限制了MLA的运动,尤其是减小MLA角度,这表明鞋子限制了MLA的压缩和后坐力,这进一步影响了MLA的弹簧样功能。
    Shoes affect the biomechanical properties of the medial longitudinal arch (MLA) and further influence the foot\'s overall function. Most previous studies on the MLA were based on traditional skin-marker motion capture, and the observation of real foot motion inside the shoes is difficult. Thus, the effect of shoe parameters on the natural MLA movement during running remains in question. Therefore, this study aimed to investigate the differences in the MLA\'s kinematics between shod and barefoot running by using a high-speed dual fluoroscopic imaging system (DFIS). Fifteen healthy habitual rearfoot runners were recruited. All participants ran at a speed of 3 m/s ± 5% along with an elevated runway in barefoot and shod conditions. High-speed DFIS was used to acquire the radiographic images of MLA movements in the whole stance phase, and the kinematics of the MLA were calculated. Paired sample t-tests were used to compare the kinematic characteristics of the MLA during the stance phase between shod and barefoot conditions. Compared with barefoot, shoe-wearing showed significant changes (p < 0.05) as follows: 1) the first metatarsal moved with less lateral direction at 80%, less anterior translation at 20%, and less superiority at 10-70% of the stance phase; 2) the first metatarsal moved with less inversion amounting to 20-60%, less dorsiflexion at 0-10% of the stance phase; 3) the inversion/eversion range of motion (ROM) of the first metatarsal relative to calcaneus was reduced; 4) the MLA angles at 0-70% of the stance phase were reduced; 5) the maximum MLA angle and MLA angle ROM were reduced in the shod condition. Based on high-speed DFIS, the above results indicated that shoe-wearing limited the movement of MLA, especially reducing the MLA angles, suggesting that shoes restricted the compression and recoil of the MLA, which further affected the spring-like function of the MLA.
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  • 文章类型: Journal Article
    第一meta趾关节(MTPJ)的生物力学受不同鞋子条件的影响。在生物力学研究领域,传统的皮肤标记运动捕获无法轻松获得鞋子中第一个MTPJ的体内关节运动学。因此,本研究旨在通过使用高速双荧光成像系统(DFIS)来研究第一个MTPJ的六自由度(6DOF)运动学在shod和赤脚跑步之间的差异。总的来说,招募了15名健康的男性跑步者。从每个参与者的右脚进行计算机断层扫描,以构建3D模型和局部坐标系。参与者在高架跑道上以3m/s±5%的速度在穿鞋和赤脚条件下在100Hz下采集射线照相图像,通过3D-2D配准计算了第一个MTPJ的6DOF运动学。使用配对的样本t检验来比较第一个MTPJ6DOF运动学在站立阶段的运动学特性,这些运动是在shood和赤脚条件之间进行的。与赤脚相比,穿鞋表现出显着变化(p<0.05):1)第一个MTPJ在50%时移动较少,但在90%和100%的站立阶段移动较少;2)峰值内侧,后部,在Shood条件下,第一个MTPJ的高级平移显着降低;3)第一个MTPJ的延伸角在30-60%时较大,但在站立阶段的90%和100%时较小;4)第一个MTPJ的最大延伸角和弯曲/延伸运动范围减小;5)在Shood条件下,第一个MTPJ的最小延伸角和内收角增加。在高速DFIS的基础上,上述结果表明,穿鞋限制了第一次MTPJ的屈伸运动,增加了内收角度,这表明鞋子可能会影响第一个MTPJ的推进,并增加外翻的风险。
    The biomechanics of the first metatarsophalangeal joint (MTPJ) is affected by different shoe conditions. In the biomechanical research field, traditional skin marker motion capture cannot easily acquire the in vivo joint kinematics of the first MTPJ in shoes. Thus, the present study aims to investigate the differences of the first MTPJ\'s six-degree-of-freedom (6DOF) kinematics between shod and barefoot running by using a high-speed dual fluoroscopic imaging system (DFIS). In total, 15 healthy male runners were recruited. Computed tomography scans were taken from each participant\'s right foot for the construction of 3D models and local coordinate systems. Radiographic images were acquired at 100 Hz while the participants ran at a speed of 3 m/s ± 5% in shod and barefoot conditions along an elevated runway, and 6DOF kinematics of the first MTPJ were calculated by 3D-2D registration. Paired sample t-tests were used to compare the kinematic characteristics of the first MTPJ 6DOF kinematics during the stance phase between shod and barefoot conditions. Compared with barefoot, wearing shoes showed significant changes (p < 0.05): 1) the first MTPJ moved less inferior at 50% but moved less superior at 90 and 100% of the stance phase; 2) the peak medial, posterior, and superior translation of the first MTPJ significantly decreased in the shod condition; 3) the extension angle of the first MTPJ was larger at 30-60% but smaller at 90 and 100% of the stance phase; 4) the maximum extension angle and flexion/extension range of motion of the first MTPJ were reduced; and 5) the minimum extension and adduction angle of the first MTPJ was increased in the shod condition. On the basis of the high-speed DFIS, the aforementioned results indicated that wearing shoes limited the first MTPJ flexion and extension movement and increased the adduction angle, suggesting that shoes may affect the propulsion of the first MTPJ and increase the risk of hallux valgus.
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  • 文章类型: Journal Article
    从生物进化的角度来看,人类在赤足条件下的运动使正常的足部功能和下肢生物力学表现成为可能。没有研究表明,基于步行和跑步过程中的足部形态和动态足底压力,习惯性赤足和shoid队列之间的特定差异。本研究旨在通过机器学习算法对赤脚和穿鞋人的足部指标和动态足底压力模式进行评估和分类。本研究招募了146名年龄匹配的赤脚(n=78)和shod(n=68)参与者。选择高斯朴素贝叶斯来识别粗毛和粗毛队列之间的足部形态差异。基于主成分分析(PCA)特征提取和递归特征消除(RFE)特征选择方法的支持向量机(SVM)分类器用于通过步行和跑步足底压力参数对赤足和shoid种群进行分离和分类。跑步参与者的M1-M5区域的峰值压力明显更高,增长34.8、37.3、29.2、31.7和40.1%,分别。高斯朴素贝叶斯模型的测试精度达到了93%的精度。基于RFE和PCA的SVM模型的平均10倍交叉验证分数分别为0.98和0.96,基于特征提取和基于特征选择的SVM模型都达到了95%的准确率。脚的形状,尤其是前脚区域,被证明是一个有价值的分类器,是一个有价值的分类器。跑步过程中的动态压力模式对两个队列的识别贡献最大,尤其是前脚区域。
    The human being\'s locomotion under the barefoot condition enables normal foot function and lower limb biomechanical performance from a biological evolution perspective. No study has demonstrated the specific differences between habitually barefoot and shod cohorts based on foot morphology and dynamic plantar pressure during walking and running. The present study aimed to assess and classify foot metrics and dynamic plantar pressure patterns of barefoot and shod people via machine learning algorithms. One hundred and forty-six age-matched barefoot (n = 78) and shod (n = 68) participants were recruited for this study. Gaussian Naïve Bayes were selected to identify foot morphology differences between unshod and shod cohorts. The support vector machine (SVM) classifiers based on the principal component analysis (PCA) feature extraction and recursive feature elimination (RFE) feature selection methods were utilized to separate and classify the barefoot and shod populations via walking and running plantar pressure parameters. Peak pressure in the M1-M5 regions during running was significantly higher for the shod participants, increasing 34.8, 37.3, 29.2, 31.7, and 40.1%, respectively. The test accuracy of the Gaussian Naïve Bayes model achieved an accuracy of 93%. The mean 10-fold cross-validation scores were 0.98 and 0.96 for the RFE- and PCA-based SVM models, and both feature extract-based and feature select-based SVM models achieved an accuracy of 95%. The foot shape, especially the forefoot region, was shown to be a valuable classifier of shod and unshod groups. Dynamic pressure patterns during running contribute most to the identification of the two cohorts, especially the forefoot region.
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  • 文章类型: Journal Article
    这项研究提出了基于人群的多元回归模型,用于通过容易测量的足部指标来预测足部足底压力,以进行跑步和步行任务。对50名参与者进行了shod和赤脚模型的训练,并使用“留一法”验证从人体测量中预测足底压力,在两个人群中步行和跑步的R2值为0.72-0.78。当模型在16个新数据集上进行盲目测试时,该模型在两个群体中的R2值为0.76-0.79的情况下表现良好。在两个人群中,步行和跑步峰值足底压力的预测精度相似。研究表明,在赤脚的人中,前足足底压力对趾趾距离更敏感,而穿鞋的参与者对这种足部特征几乎没有反应。鞋和赤脚参与者的前足外侧足底压力对足弓指数敏感,但仅对步行敏感。在运行过程中,足弓指数不是前足外侧压力的有用决定因素。因此,习惯性地赤脚的人采用极简主义的鞋类应考虑在内侧前足的额外支撑和步行鞋类应包括前足支撑分层足弓指数(足部类型),但是由于罢工模式的可变性,跑步鞋具有挑战性。
    This study presents population-based multivariate regression models for predicting foot plantar pressure from easily measured foot metrics in both shod and barefoot populations for running and walking tasks. Both shod and barefoot models were trained on 50 participants and predicted plantar pressure from anthropometric measurements using a \'leave-one-out\' validation with R2 values of 0.72-0.78 across walking and running in both populations. When the model was blindly tested on 16 new data sets, the model performed just as well with R2 values of 0.76-0.79 across both populations. Walking and running peak plantar pressure were predicted with similar levels of accuracy in both populations. It was revealed that forefoot plantar pressure was more sensitive to the hallux-toe distance in barefoot people with shod participants showing little response to this foot characteristic. Lateral forefoot plantar pressure was sensitive to the arch index in both shod and barefoot participants but only for walking. During running, the arch index was not a useful determinant of lateral forefoot pressure. Hence, habitually barefoot people who adopt minimalist footwear should consider additional support in the medial forefoot and walking footwear should include forefoot support stratified by arch index (foot type), but running footwear is challenging due to the variability in strike patterns.
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  • 文章类型: Journal Article
    Backward walking (BW) has been extensively used in athletic training and orthopedic rehabilitation as it may have value for enhancing balance. This study identified the differences in foot intersegment kinematics (forward walking (FW) vs. time-reversed BW) and plantar pressure parameters of 16 healthy habitually shod individuals walking FW and BW using flexible shoes (SH) and under barefoot conditions (BF). BW was found to have shorter stride length (SL) and higher stride frequency (SF) under BF conditions compared with SH, which indicates a better BW gait stability under BF conditions. Decreased HX/FF dorsiflexion at HO in BW induces less plantar aponeurosis tension which may inhibit the windlass mechanism compared to FW walking. Increased forefoot relative to hindfoot (FF/HF) pronation and sequentially hindfoot relative to tibia (HF/TB) eversion combined with medially distributed plantar pressure and a higher plantar contact area in the medial side in BW-BF maybe beneficial in maintaining balance. These results indicate that BW training may be more reliable under BF conditions compared to the SH conditions based on greater sensory information feedback from the plantar area resulting in better biomechanical behavior.
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