Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
J Electromyogr Kinesiol. 1991 Dec;1(4):263-9. doi: 10.1016/1050-6411(91)90013-U.
We present a technique to combine muscle shortening and lengthening velocity information with electromyographic (EMG) profiles during gait. A biomechanical model was developed so that each muscle's length could be readily calculated over time as a function of angles of the joints it crossed. The velocity of shortening and lengthening of the muscle fiber was then calculated, and with computer graphics this information was overlaid on the EMG profiles. Thus, researchers and clinicians were not only able to interpret the processed EMG signal as level of activity (tension) but also to gain insight as to the muscles' role as generators (muscle shortening) or absorbers (muscle lengthening) of energy. Six common muscles are documented, using database profiles; soleus (SOL), medial gastrocnemius (MG), tibialis anterior (TA), vastus lateralis (VL), rectus femoris (RF), and semitendinosus (ST). The protocol thus demonstrates a relatively simple technique for calculating muscle fiber velocity and for combining that velocity information with EMG activity profiles.
我们提出了一种技术，可将肌肉缩短和伸长速度信息与步态中的肌电图 (EMG) 图谱结合起来。开发了一种生物力学模型，以便可以根据其穿过的关节的角度随时间计算出每个肌肉的长度。然后计算出肌纤维的缩短和伸长速度，并通过计算机图形将该信息叠加在 EMG 图谱上。因此，研究人员和临床医生不仅能够将处理后的 EMG 信号解释为活动水平（张力），而且还能够深入了解肌肉作为能量发生器（肌肉缩短）或吸收器（肌肉伸长）的作用。使用数据库图谱记录了 6 块常见的肌肉，分别是比目鱼肌 (SOL)、内侧腓肠肌 (MG)、胫骨前肌 (TA)、股外侧肌 (VL)、股直肌 (RF) 和半腱肌 (ST)。因此，该方案展示了一种相对简单的计算肌肉纤维速度的技术，并将该速度信息与 EMG 活动图谱结合起来。
