Betts B, Smith J L
Electroencephalogr Clin Neurophysiol. 1979 Nov;47(5):571-81. doi: 10.1016/0013-4694(79)90258-x.
A real-time period-amplitude analysis program for EMG involving the detection of events consisting of the period and amplitude difference between maxima and minima was used to study the activity patterns of fast and slow, hind and forelimb extensors during treadmill locomotion and jumping. Events were stored in a two-dimensional table providing an easily interpreted quantification of frequency and amplitude parameters of single EMG bursts which were characterized over a range of movements by the mean frequency and amplitude. Periods between zero crossings of the original signal were also stored. Both mean frequency and mean amplitude remained relatively steady for the slow extensors throughout the range of movements, while the fast extensors exhibited an increase in both mean frequency and mean amplitude during the same movements. The results show that fast extensors of the hind and forelimb follow the kinetic demands of the movement, while the activity pattern of the slow extensors is constant and independent of the movement kinetics. Slight discontinuities in these trends are discussed in their possible relation to the dynamics of msucle recruitment. Period-amplitude analysis provides a useful method of quantifying the raw EMG while retaining much of the original information of the signal.
一个用于肌电图（EMG）的实时周期-振幅分析程序，该程序涉及检测由最大值和最小值之间的周期和振幅差异组成的事件，用于研究跑步机运动和跳跃过程中快速和慢速、后肢和前肢伸肌的活动模式。事件被存储在一个二维表中，该表提供了对单个EMG爆发的频率和振幅参数的易于解释的量化，这些参数通过平均频率和振幅在一系列运动中进行表征。原始信号过零点之间的周期也被存储。在整个运动范围内，慢肌伸肌的平均频率和平均振幅都保持相对稳定，而快肌伸肌在相同运动过程中平均频率和平均振幅均呈现增加。结果表明，后肢和前肢的快肌伸肌遵循运动的动力学需求，而慢肌伸肌的活动模式是恒定的，且与运动动力学无关。这些趋势中的轻微不连续性在其与肌肉募集动力学的可能关系方面进行了讨论。周期-振幅分析提供了一种量化原始EMG的有用方法，同时保留了信号的许多原始信息。
