作为预测来自加热模型的偏差提出一种新的方法。该偏差被分成两部分:1)用加热模型说明偏差。2)随机偏正。其中,第一部分反映肌纤维的快速恢复函数。第二部分反映神经肌的传导。根据这个模型推出两个方法。方法Ⅰ从最近的放电中预测该偏差。方法Ⅱ能考虑到一些加热模型的周期。模型Ⅰ参数可以给出一个生理描述。测量描述得到快速恢复函数。在模拟 A new method is proposed as a prediction of deviations from the heating model. This deviation is divided into two parts: 1) Describe the deviation with the heating model. 2) random bias. Among them, the first part of the muscle fiber rapid recovery function. The second part reflects neuromuscular transmission. According to the model introduced two methods. Method I predicts this bias from the most recent discharge. Method II takes into account the period of some heating model. Model Ⅰ parameters can give a physiological description. Measurement Description Get a quick recovery function. In simulation