Wang Yifei, Sun Jianbo, Guo Xuesong, Dong Delong, Luan Chuankai, Wang Xiaolin
College of Sports Sciences, Qufu Normal University, Jining, China.
Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
PLoS One. 2025 Mar 19;20(3):e0318693. doi: 10.1371/journal.pone.0318693. eCollection 2025.
To explore the functional characteristics and principal component differences of electromyography in different phases of the gait cycle, to provide key parameters for identifying a complete gait, and to provide a reference for joint moment solving in the lower limb.
Twenty young men were selected to measure the natural gait EMG of 14 muscles of the lower limb using VICON and NORAXON devices. Gait was classified into two categories according to the Niyogi S A classification, integral EMG differences were compared, and principal component analysis was performed on the differing muscles to calculate Cohen's d values for significant differences and ΔIEMG values for non-significant differences.
(1) Significant differences existed in the integral EMG of the left semitendinosus, right semitendinosus, right biceps femoris, and left gastrocnemius muscles, both lateral and medial. (2) Principal component analysis showed significant differences in the left semitendinosus for principal component five (P < 0.1, ES = 1.40); right biceps femoris for principal component three (ES = 0.63, 10%-30%); and left gastrocnemius medial for principal component four (P < 0.05, ES = 1.81, 40%-60%). The ΔIEMG% of the right semitendinosus principal components I-IV were 97.96%, 92.24%, 87.26%, and 75.08%, respectively; and the ΔIEMG% of the left gastrocnemius medial principal components I-IV were 90.95%, 75.08%, 96.37%, and 85.39%, respectively.
(1) Left semitendinosus, right semitendinosus, right biceps femoris, and left gastrocnemius can be used as the main muscles for gait recognition. (2) The left semitendinosus principal component V, the right biceps femoris principal component III, and the left gastrocnemius medial principal component IV are sensitive indicators for gait stage classification.
探讨步态周期不同阶段肌电图的功能特征及主成分差异,为识别完整步态提供关键参数,并为下肢关节力矩求解提供参考。
选取20名青年男性,使用VICON和NORAXON设备测量其下肢14块肌肉的自然步态肌电图。根据Niyogi S A分类将步态分为两类,比较积分肌电图差异,并对不同肌肉进行主成分分析,计算显著差异的Cohen's d值和非显著差异的ΔIEMG值。
(1)左半腱肌、右半腱肌、右股二头肌以及左腓肠肌内外侧的积分肌电图存在显著差异。(2)主成分分析显示,左半腱肌主成分五存在显著差异(P < 0.1,ES = 1.40);右股二头肌主成分三存在显著差异(ES = 0.63,10%-30%);左腓肠肌内侧主成分四存在显著差异(P < 0.05,ES = 1.81,40%-60%)。右半腱肌主成分I-IV的ΔIEMG%分别为97.96%、92.24%、87.26%和75.08%;左腓肠肌内侧主成分I-IV的ΔIEMG%分别为90.95%、75.08%、96.37%和85.39%。
(1)左半腱肌、右半腱肌、右股二头肌和左腓肠肌可作为步态识别的主要肌肉。(2)左半腱肌主成分V、右股二头肌主成分III和左腓肠肌内侧主成分IV是步态阶段分类的敏感指标。