Research On The Surface Electromygraphic Characteristics Of Human During Walking With Different Backpacks

After an excessive weight-bearing walking for a long time, people’s muscles will be in a condition of fatigue, then resulting in a series of muscle damage problems. Consequently, the study of human muscles characteristics under walking with different load carriage is very important. As a noninvasive, real-time measuring method, surface electromyography (SEMG) is widely used in detections about muscles biological electrical signals. However, studies about surface electromyography when people in the condition of weight-bearing walking are less. This paper mainly studies characteristics about surface electromyogram signals of people’s body and back when they walking with weight.The test of the main muscle electromyogram of human body and lower limb under the subiects walking with different weight of backpack was doen by JE-TB0810myo-electric acquisition system. The backpack load was equivalent to one of the following weight:0%、5%、10%or15%of their body weight, and we adopt cervical extensor (CE), rapezius muscles, latissimus dorsi, erector spinae muscles, rectus femoris muscles, biceps femoris muscles, tibialis anterior muscles, lateral gastrocnemius for measuring.The text demands that the subjects should walk at a constant speed for30minutes on the treadmill. From the initial stage, the electromyographic signal was collected every5minutes, be given subjective evaluation every10minutes. Firstly, combined with the subjective evaluation results, the eigenvalue of average electromyography (AEMG) and mean power frequency (MPF) based on SEMG accurate evaluation indicator were comfirmed. Using SPSS statistical analysis software to standardize data, using t test to verify whether there are some differences between men and women’s muscles, muscles on different sides as well as different electromyograms between different weights (P<0.05), to analyse the muscles functional state and fatigue condition, and to explore the variation trend of characteristic parameters about muscle electromyography along with the change of load. Then using the method of regression analysis to conclude the optimum curve changing over time about the main muscle electromyography characteristic parameter, and using Matlab to build the three-dimensional model about mainly muscle electromyography characteristic parameters and the time loading.This paper presented surface electromyography studying on body and lower limb muscles under walking with different load carriage, there is a certain degree of differences between males and females and a feature of zygomorphy between left and right side of muscles. Meanwhile, when men and women are in different load cases, the most forceful muscle and the most fatigue muscle is different because of the gender. With the time changing, the feature of major muscle AEMG and MPF were same, that is cubic curve. AEMG eigenvalue increase and MPF characteristic value reduced with each muscle weight-bearing increased, and electromyogramphic signals has a significant difference when the load reaches a certain weight, that is the upper limit of the backpack’s quality. The study should be provide some reasonable reference for those who need to walk long time bearing weights, and makes them try to avoid a series of muscle damage due to excessive weight problems. Moreover, These conclusions, therefore,could be provided a large number of basis for people to improve the way of weight-bearing, weight method, the performance of backpack, backpack design and loading system. Finally, it could be provided a large number of reference bases for the medical diagnosis of the muscle damage, rehabilitation training and the judgment of rehabilitation efficacy.