Classification of acute myocardial ischemia by artificial neural network using echocardiographic strain waveforms.
Classification of acute myocardial ischemia by artificial neural network using echocardiographic strain waveforms.
复制标题
使用超声心动图应变波形通过人工神经网络对急性心肌缺血进行分类。
DOI：
10.1016/j.compbiomed.2008.01.003
复制
发表时间：
2008
影响因子：
7.7
通讯作者：
Belohlavek,Marek
中科院分区：
文献类型：
--
作者：
McMahon,EileenM;Korinek,Josef;Yoshifuku,Shiro;Sengupta,ParthoP;Manduca,Armando;Belohlavek,Marek
Echocardiographic strain waveforms are highly variable, so their interpretation is experience-dependent and subjective. We tested whether an artificial neural network (ANN) can distinguish between strain waveforms obtained at baseline and during experimentally induced acute ischemia. An open-chest model of coronary occlusion and acute ischemia was used in 14 adult pigs. Strain waveforms were obtained using a GE Vivid 7 ultrasound system. An ANN design was implemented in MATLAB®, and backpropagation and “leave-one-out” processes were used to train and test it. Specificity of 86% and sensitivity of 87% suggest that ANNs could aid in diagnostic prescreening of echocardiographic strain waveforms.
