Zhu Lin, Garon Martin, Quenneville Éric, Buschmann Michael D, Savard Pierre
Institut de génie biomédical, Polytechnique Montréal, CP 6079 succ. Centre-ville, Montréal, Québec, Canada H3C 3A7.
Biomomentum inc., Laval, Québec, Canada.
J Biomech. 2016 Oct 3;49(14):3587-3591. doi: 10.1016/j.jbiomech.2016.09.008. Epub 2016 Sep 15.
Electroarthrography (EAG) is a new technique for measuring electrical potentials appearing on the knee surface during loading that reflects cartilage quality and joint contact force. Our objective was to investigate the evolution of EAG signals during successive loading cycles. The study was conducted on 20 standing subjects who shifted their body weight to achieve knee loading. Their EAG signals were recorded during 10 successive loading cycles, and during a subsequent sequence of 10 cycles recorded after a 15min exercise period. Multiple linear regression models estimated the electro-mechanical ratio (EMR) interpreting the ability of cartilage to generate a certain potential for a given ground reaction force by taking into account this force and the center of pressure displacements during unipedal stance. The results showed that the EMR values slowly decreased with successive cycles: during the initial sequence, the correlation coefficients between EMR values and sequence numbers were significant at 3 of the 4 electrode sites (p<0.05); for the post-exercise sequence, the EMR values still decreased and were significantly lower than during the initial sequence (p<0.001). The reduction of EMR values could arise from muscle activity and habituation of the stretch reflex, and also from the time dependent electromechanical properties of cartilage. In conclusion, refraining from physical activity before the EAG measurements is important to improve measurement repeatability because of the EMR decrease. The electromechanical model confirmed the role of EAG as a natural sensor of the changes in the knee contact force and also improved EAG measurement accuracy.
关节电描记术(EAG)是一种用于测量负重过程中出现在膝关节表面的电势的新技术,它能反映软骨质量和关节接触力。我们的目的是研究连续加载周期中EAG信号的变化。该研究对20名站立的受试者进行,他们通过转移体重来实现膝关节负重。在连续10个加载周期以及随后15分钟运动期后的10个周期记录他们的EAG信号。多元线性回归模型通过考虑单足站立期间的力和压力中心位移来估计机电比(EMR),以解释软骨在给定地面反作用力下产生特定电势的能力。结果表明,EMR值随着连续周期缓慢下降:在初始序列中,4个电极位点中有3个位点的EMR值与序列数之间的相关系数具有显著性(p<0.05);对于运动后序列,EMR值仍下降且显著低于初始序列(p<0.001)。EMR值的降低可能源于肌肉活动和牵张反射的习惯化,也源于软骨随时间变化的机电特性。总之,由于EMR降低,在进行EAG测量前避免身体活动对于提高测量重复性很重要。机电模型证实了EAG作为膝关节接触力变化的天然传感器的作用,同时也提高了EAG测量的准确性。