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基于统计参数映射分析不同习惯落地模式跑者跑步过程中地面反力的差异

Ground reaction forces characteristics among runners with different foot strike patterns:Analysis of one-dimensional statistical parametric mapping
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摘要 比较不同足落地模式跑者地面反力(ground reaction force, GRF)特征值是否存在差异,并基于一维统计参数映射(statistical parametric mapping, SPM)探索不同足落地模式跑者足触地期间GRF-时间连续性数据的差异。研究纳入32名习惯后足落地跑者(rearfoot strike, RFS)和27名习惯非后足落地跑者(non-rearfoot strike, NRFS),跑者以12 km/h的速度在构建的橡胶跑道上进行跑步,Kistler测力台被用于采集跑步过程中GRF的数据。采用SPM分析不同足落地模式跑者足触地期间三维方向GRF-时间连续性数据的差异。GRF特征值方面,RFS跑者的垂直平均负荷率和触地时前-后方向GRF均显著大于NRFS跑者。SPM结果发现,相较于NRFS跑者,RFS跑者的GRF曲线在站立相前-后方向的5%~10%显著较大,内-外方向的4%~12%显著较小,垂直方向的0~3%显著较小,8%~14%显著较大。对比GRF特征值和SPM分析结果,发现通过特征值分析不足以代表足触地期间GRF-时间连续性数据的变化,应建立连续性假设检验了解跑步过程中的生物力学变化,进而更好为跑步损伤预防提供一定的指导。 To explore ground reaction forces(GRF)characteristic values among runners with different foot strike patterns(FSP),and then analyze GRF-time series data based on one-dimensional statistical parametric mapping(SPM),32 habitual rearfoot strike pattern(RFS)runners and 27 habitual non-rearfoot strike pattern(NRFS)runners were included in our study.Kistler force plates were used to collect GRF data when participants were running on rubber at a speed of 12 km/h.SPM was used to analyze the differences of GRF-time series data among runners with different FSP.GRF characteristic values demonstrated that vertical average loading rate and anterior-posterior GRF of RFS runners were significantly higher than those of NRFS runners.The SPM results found that compared with NRFS runners,RFS runners have significantly higher GRF during 5%-10%and lower GRF during 4%-12%of the stance phase in anterior-posterior and medial-lateral direction.RFS runners have significantly lower GRF during 0-3%and higher GRF during 8%-14%of the stance phase in vertical direction.The results of GRF characteristic values and SPM GRF-time series data suggested that traditional characteristic values analysis seems insufficient to represent actual biomechanical characteristics of lower limbs,continuity hypothesis test like SPM should be established to better describe biomechanical parameters-times series data,thus providing constructive suggestions for the prevention of running injuries.
作者 魏震 王琳 WEI Zhen;WANG Lin(School of Kinesiology,Shanghai University of Sport,200438 Shanghai,China)
出处 《应用力学学报》 CAS CSCD 北大核心 2023年第2期474-480,共7页 Chinese Journal of Applied Mechanics
基金 国家自然科学基金资助项目(11572202)。
关键词 统计参数映射 一维数据 地面反力 跑步爱好者 足落地模式 statistical parametric mapping(SPM) one-dimensional data ground reaction force(GRF) runner foot strike pattern
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