Harba M I, Lynn P A
J Biomed Eng. 1981 Apr;3(2):100-6. doi: 10.1016/0141-5425(81)90002-9.
Electromyographic (EMG) signals, detected on the skin surface over active muscles, are being used increasingly for the control of prostheses and for investigating and retraining human movement. However, the statistical characteristics of the signal make it difficult toi achieve a processing delay of less than about 100 ms, which is marginal in some applications. Two techniques for reducing this delay are described: (i) signal pre-whitening, based upon digital autoregressive modelling or analogue filtering; an (ii) the use of a multiple electrode array. Successful discrimination between several states in a single muscle is possible in about 50 ms.
在活跃肌肉上方皮肤表面检测到的肌电图（EMG）信号，正越来越多地用于假肢控制以及人体运动的研究和再训练。然而，该信号的统计特性使得难以实现小于约100毫秒的处理延迟，这在某些应用中是勉强够的。文中描述了两种减少这种延迟的技术：（i）基于数字自回归建模或模拟滤波的信号预白化；以及（ii）使用多电极阵列。在大约50毫秒内就有可能成功区分单个肌肉中的几种状态。
