摘要
应用自回归( A R)数学模型对采集的正常少儿组、正常成年组、老年一般冠心病组及少儿室间隔缺损组共144 例的心音数据进行了较系统的三维和二维分析。结果显示,老年一般冠心病组与正常成年组相比,第 1、2、3、4 心音( S1、 S2、 S3、 S4)的频率均有向低频方向移动的趋势,收缩期杂音( S M )、舒张期杂音( D M )高频成分显著增多,低频成分显著减少, S M 振幅增大,并常伴有大的 S4;少儿室缺组与正常少儿组比较, S1、 S2、 S M 的频率有向高频方向移动的趋势,并常伴有 S3 振幅增大和 S4 振幅减小。提示正常成年与少儿之间,心音的时频域信息差别不明显,心脏病患者与正常人的差异较明显。
Autoregressive (AR) modal method was applied to analyze systematically data of heart sounds sampled from 144 subjects which were divided into four groups: normal adult, normal children, common old coronary heart disease (CHD) and ventricular septal defect (VSD) in three dimensional domains and two dimensional domains. The results showed that frequencies of the first, second, third and fourth heart sound(S1,S2,S3 and S4)of CHD have the trend of moving towards lower frequencies, the high frequent component of systolic murmurs (SM) and Diastolic murmurs(DM) increased and the low frequent component decreased, the bigger S4 was recorded frequently comparing with the normal adult and that the frequencies of S1,S2 and SM of VSD have the trend of moving towards higher frequency, bigger S3 and smaller S4 were recorded frequently comparing with the normal children. The results suggests that the significantly different parameters of heart sounds between normal adult and children were less than that between heart disease patients and the normal.
出处
《山东医科大学学报》
1999年第3期196-198,201,共3页
Acta Academiae Medicinae Shandong
基金
山东省科委科研基金
关键词
心音
心脏杂音
心音描记术
信号处理
Heart sounds
Heart Murmurs
Phonocardiongraphy
Signal processing, Computer assisted