Potvin J R, Norman R W, McGill S M
School of Human Biology, University of Guelph, Ontario, Canada.
Eur J Appl Physiol Occup Physiol. 1996;74(1-2):119-32. doi: 10.1007/BF00376504.
Few studies have been carried out on the changes in biomechanical loading on low-back tissues during prolonged lifting. The purpose of this paper was to develop a model for continuously estimating erector spinae muscle loads during repetitive lifting and lowering tasks. The model was based on spine kinematics and bilateral lumbar and thoracic erector spinae electromyogram (EMG) signals and was developed with the data from eight male subjects. Each subject performed a series of isometric contractions to develop extensor moments about the low back. Maximum voluntary contractions (MVCs) were used to normalize all recorded EMG and moment time-histories. Ramp contractions were used to determine the non-linear relationship between extensor moments and EMG amplitudes. In addition, the most appropriate low-pass filter cut-off frequencies were calculated for matching the rectified EMG signals with the moment patterns. The mean low-pass cut-off frequency was 2.7 (0.4) Hz. The accuracy of the non-linear EMG-based estimates of isometric extensor moment were tested with data from a series of six rapid contractions by each subject. The mean error over the duration of these contractions was 9.2 (2.6)% MVC. During prolonged lifting sessions of 20 min and of 2 h, a model was used to calculate changes in muscle length based on monitored spine kinematics. EMG signals were first processed according to the parameters determined from the isometric contractions and then further processed to account for the effects of instantaneous muscle length and velocity. Simple EMG estimates were found to underestimate peak loading by 9.1 (4.0) and 25.7 (11.6)% MVC for eccentric and concentric phases of lifting respectively, when compared to load estimates based on the mechanically corrected EMG. To date, the model has been used to analyze over 5300 lifts.
关于长时间提举过程中腰部组织生物力学负荷变化的研究较少。本文的目的是建立一个模型,用于在重复提举和放下任务期间连续估计竖脊肌负荷。该模型基于脊柱运动学以及双侧腰椎和胸椎竖脊肌肌电图(EMG)信号,并利用八名男性受试者的数据开发而成。每位受试者进行了一系列等长收缩,以产生关于下背部的伸展力矩。最大自主收缩(MVC)用于对所有记录的EMG和力矩时间历程进行归一化处理。斜坡收缩用于确定伸展力矩与EMG幅度之间的非线性关系。此外,计算了最合适的低通滤波器截止频率,以使整流后的EMG信号与力矩模式相匹配。平均低通截止频率为2.7(0.4)Hz。通过每位受试者进行的一系列六次快速收缩的数据,测试了基于非线性EMG的等长伸肌力矩估计的准确性。这些收缩过程中的平均误差为9.2(2.6)%MVC。在20分钟和2小时的长时间提举过程中,使用一个模型根据监测到的脊柱运动学来计算肌肉长度的变化。EMG信号首先根据从等长收缩中确定的参数进行处理,然后进一步处理以考虑瞬时肌肉长度和速度的影响。与基于机械校正EMG的负荷估计相比,发现简单的EMG估计在提举的离心和向心阶段分别低估峰值负荷9.1(4.0)%MVC和25.7(11.6)%MVC。迄今为止,该模型已用于分析超过5300次提举。