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机构地区:[1]青岛医学院内科学教研室 [2]青岛医学院心血管病研究所
出 处:《青岛医学院学报》1992年第1期1-5,共5页Acta Academiae Medicinae Qingdao Universitatis
摘 要:对53例心肌梗塞不伴室速(Ⅰ组),27例心肌梗塞伴室速(Ⅱ组)和42例健康者(Ⅲ组)的信号平均心电图频域多变量分析,选择其最佳分析参数.结果表明,QRS始点后60ms分析段(A_(60))20~50Hz,50~80Hz的A谱面积比(AAR),20~50Hz的P谱面积比(PAR)三组间均有显著差异(P<0.001);Bayes,Fisher分析示:20~50Hz,50~80Hz的AAR为相对独立的判别参数,频域分析对判别心肌梗塞伴室速的正确率为85.00%,敏感度77.78%,特异性88.68%,阳性和阴性预测值分别为77.78%和88.68%.提示频域分析能准确分辨心肌梗塞伴室速病人.The best parameters were studied by frequency domain analysis of signal-averaged electrocardiogram from 53 remote myocardial infarction (RMI) patients without ventricular tachycardia ( VT ) (Group I), 27 RMI patients with VT ( Group Ⅱ ) and 42 normal subjects (GroupⅢ).There were significant differences among the 3 groups for 20~50Hz, 50~80Hz A spectra area ratio (AAR) and 20~50Hz P spectra area ratio (PAR) using the interval of starting point of 60ms after the QRS onset(A60) ( P<0.001).Bayes and Fisher stepwise discriminant analysis showed that 20~50Hz, 50~80Hz AAR of A60 segment were a relatively indepentent paramenters. Frequency domain analysis provided a accuracy of 85%, a sensitivity of 77.78%, a specificity of 88.68%, a positive prognostic value of 77.78%, and a negative prognostic value of 88.68%. This suggested that patients of RMI with VT were correctly identified by frequency domain analysis, which is a better method for the analysis of ventricular late potentials.
分 类 号:R540.41[医药卫生—心血管疾病]
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