CAJ | 학술논문

多数现有的计算机辅助心电(ECG)诊断技术研究通常是基于常规心电导联展开的,而正交Frank心电导联比常规心电导联有着与解剖学更为密切的联系.基于Frank导联的心肌梗死(MI)心电特征提取和分类检测的研究,对MI ECG信号进行Hermite非线性展开,以Hermite系数为心电特征,并对其进行分类测试.与常规心电导联相比,此方法对早期MI和急性期MI进行分类,检测精度可分别提高30.06%和19.33%.
다수현유적계산궤보조심전(ECG)진단기술연구통상시기우상규심전도련전개적,이정교Frank심전도련비상규심전도련유착여해부학경위밀절적련계.기우Frank도련적심기경사(MI)심전특정제취화분류검측적연구,대MI ECG신호진행Hermite비선성전개,이Hermite계수위심전특정,병대기진행분류측시.여상규심전도련상비,차방법대조기MI화급성기MI진행분류,검측정도가분별제고30.06%화19.33%.
Most of existing computer assistanted diagnosis technique studies are performed based on standard electrocardiogram(ECG) leads. Orthogonal Frank leads are more eorrehted with anatomy compared with standard ECG leads. Myocardial infarction (MI) ECG feature extraction and detection based on Frank leads is proposed. The ECG signals are expressed by nonlinear Hermite expansion method, and Hermite coefficients are utilized as ECG features for the classification. The accuracy of detecting MI in early stage and MI in acute stage can be increased by 30. 06 and 19. 33 percentages compared with that of standard ECG leads using the proposed method.