【摘要】 基于腹部采集的子宫肌电信号(EMG)提取子宫收缩信息被认为是一种最有可能取代分娩力描记法(TOCO)的新方法。传统均方根(RMS)算法对子宫肌电信号中脉冲性噪声的抑制能力有限,为了有效克服上述问题,本文提出一种改进的子宫肌电包络提取算法。新方法先对原始子宫肌电信号进行过零检测,识别出爆发波并分段,再对分段后的信号进行不同窗口宽度的平滑滤波,最后采用均方根法提取子宫肌电强度(IEMG)作为包络。为了评估本算法的性能表现,本文将该算法与两种现有子宫肌电强度提取算法进行比较。结果表明,该算法在抑制子宫肌电信号中存在的脉冲性噪声方面要明显优于对比算法,其测量灵敏度与阳性预测值(PPV)分别为0.952和0.922,不仅明显高于对比算法一中对应参数的0.859和0.847,同时也高于对比算法二中的0.928和0.877。本研究表明了该方法的可靠性与有效性。更多还原

【Abstract】 Extraction uterine contraction signal from abdominal uterine electromyogram(EMG) signal is considered as the most promising method to replace the traditional tocodynamometer(TOCO) for detecting uterine contractions activity. The traditional root mean square(RMS) algorithm has only some limited values in canceling the impulsive noise. In our study, an improved algorithm for uterine EMG envelope extraction was proposed to overcome the problem. Firstly, in our experiment, zero-crossing detection method was used to separate the burst of uterine electrical activity from the raw uterine EMG signal. After processing the separated signals by employing two filtering windows which have different width, we used the traditional RMS algorithm to extract uterus EMG envelope. To assess the performance of the algorithm, the improved algorithm was compared with two existing intensity of uterine electromyogram(IEMG) extraction algorithms. The results showed that the improved algorithm was better than the traditional ones in eliminating impulsive noise present in the uterine EMG signal. The measurement sensitivity and positive predictive value(PPV) of the improved algorithm were 0.952 and 0.922, respectively, which were not only significantly higher than the corresponding values(0.859 and 0.847) of the first comparison algorithm, but also higher than the values(0.928 and 0.877) of the second comparison algorithm. Thus the new method is reliable and effective.更多还原