Lay Andrea N, Hass Chris J, Richard Nichols T, Gregor Robert J
Bioengineering Program, School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0356, USA.
J Biomech. 2007;40(6):1276-85. doi: 10.1016/j.jbiomech.2006.05.023. Epub 2006 Jul 26.
Investigations using quadrupeds have suggested that the motor programs used for slope walking differ from that used for level walking. This idea has not yet been explored in humans. The aim of this study was to use electromyographic (EMG) signals obtained during level and slope walking to complement previously published joint angle and joint moment data in elucidating such control strategies. Nine healthy volunteers walked on an instrumented ramp at each of five grades (-39%, -15%, 0%, +15%, +39%). EMG activity was recorded unilaterally from eight lower limb muscles (gluteus maximus (GM), rectus femoris (RF), vastus medialis (VM), biceps femoris (BF), semimembranosus (SM), soleus (Sol), medial gastrocnemius (MG), and tibialis anterior (TA)). The burst onset, duration, and mean activity were calculated for each burst in every trial. The burst characteristics were then averaged within each grade and subject and submitted to repeated measures ANOVAs to assess the effect of grade (alpha=0.05, a priori). Power production increased during upslope walking, as did the mean activity and burst durations of most muscles. In this case, the changes in muscle activity patterns were not predictable based on the changes in joint moments because of the activation of biarticular muscles as antagonists. During downslope walking power absorption increased, as did knee extensor activity (mean and duration) and the duration of the ankle plantarflexor activity. The changes in muscle activity during this task were directly related to the changes in joint moments. Collectively these data suggest that the nervous system uses different control strategies to successfully locomote on slopes, and that joint power requirements are an important factor in determining these control strategies.
对四足动物的研究表明,用于斜坡行走的运动程序与用于平地行走的运动程序不同。这一观点尚未在人类中得到探索。本研究的目的是利用在平地和斜坡行走过程中获得的肌电图(EMG)信号,以补充先前发表的关节角度和关节力矩数据,从而阐明此类控制策略。九名健康志愿者在一个装有仪器的斜坡上以五个坡度(-39%、-15%、0%、+15%、+39%)中的每一个坡度行走。从八块下肢肌肉(臀大肌(GM)、股直肌(RF)、股内侧肌(VM)、股二头肌(BF)、半膜肌(SM)、比目鱼肌(Sol)、腓肠肌内侧头(MG)和胫骨前肌(TA))单侧记录EMG活动。计算每次试验中每个爆发的爆发起始时间、持续时间和平均活动。然后将每个坡度和受试者内的爆发特征进行平均,并进行重复测量方差分析,以评估坡度的影响(α=0.05,先验)。上坡行走时功率产生增加,大多数肌肉的平均活动和爆发持续时间也增加。在这种情况下,由于双关节肌肉作为拮抗剂的激活,肌肉活动模式的变化无法根据关节力矩的变化来预测。下坡行走时功率吸收增加,膝关节伸肌活动(平均和持续时间)以及踝关节跖屈肌活动的持续时间也增加。在此任务中肌肉活动的变化与关节力矩的变化直接相关。总体而言,这些数据表明,神经系统使用不同的控制策略在斜坡上成功行走,并且关节功率需求是决定这些控制策略的一个重要因素。