胃食道酸碱度动态监测信号的人工神经网络分析算法

在深入分析胃食道pH值动态监测方法的基础上，提出了一种基于自适应共振理论(ART）适用于外参比电极胃食道pH值动态监测信号的分析算法．该算法的特点是综合考虑了食道pH值与胃pH值；结合pH值波形幅值和波形形态来确定返流判据；兼顾自适应方法与定阈值方法．理论和实验表明，这种算法具有一致、稳健和自适应等优点，在提高返流判据“客观性”方面具有一定的实际意义，与临床普遍采用的方法相比，判断精度有显著提高．

Dynamic Gastroesophageal pH Monitoring Analysis Using Artificial Neural Network

An algorithm based on adaptive resonance theory(ART)is used for outer reference electrode dynamic gastroesophageal pH monitoring signal analysis.It considers esophageal and gastric pH, and, combination of amplitude and shape of pH waveform for determining the reflux criterion. The self adaptive and fixed threshold method are combined to estimate refluxes. Aside being self adaptive,the algorithm has consistency. On contract to the method commonly used, the present approach has the capability to exercise better judgement.