Parsaei Hossein, Stashuk Daniel W
Systems Design Engineering Department University of Waterloo, ON, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2551-4. doi: 10.1109/IEMBS.2009.5334758.
A method using the gap statistic is proposed to evaluate the validity of a motor unit potential train (MUPT) in terms of motor unit potential (MUP) shape consistency. This algorithm determines whether the MUPs of a given MUPT are homogeneous in terms of their shapes or not. It also checks if there are gaps in the inter-discharge interval (IDI) train of the given MUPT. If the MUPs are not homogeneous or if there is a temporal gap in the MUPT, the given MUPT is split into valid trains. To overcome MUP shape variability caused by jitter or needle movement during signal detection, similar MUPTs are merged if the resulting merged train is a valid train. Experimental results using simulated EMG signals show that the accuracy of the developed method in determining valid MUPTs and invalid MUPTs correctly is 97.58% and 99.33% on average, respectively. This performance encourages the use of this method for automated validation of MUPTs.
提出了一种使用间隙统计量的方法，以根据运动单位电位（MUP）形状一致性来评估运动单位电位序列（MUPT）的有效性。该算法确定给定MUPT的MUP在形状方面是否同质。它还检查给定MUPT的放电间隔（IDI）序列中是否存在间隙。如果MUP不同质或MUPT中存在时间间隙，则将给定的MUPT拆分为有效的序列。为了克服信号检测期间由抖动或针移动引起的MUP形状变异性，如果合并后的序列是有效的序列，则将相似的MUPT合并。使用模拟肌电信号的实验结果表明，所开发方法正确确定有效MUPT和无效MUPT的准确率平均分别为97.58%和99.33%。这种性能鼓励将该方法用于MUPT的自动验证。
