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为了进一步探讨先进的信号处理技术在冠状动脉疾病的非损伤检测中的应用,我们利用舒张心音数据的自回归滑动平均(ARMA)模型对30个患者(10位血管成形术,20位正常或异常者)进行了测试,正是在舒张期间,冠状血流为最大,与部分流过闭塞冠状动脉的湍流血流有关的声音为最响。模型参数(ARMA方法的功率谱密度函数和极性)在正常/异常病人研究中用于区分正常和异常病人,在血管成形
To further explore the use of advanced signal processing techniques for the non-invasive detection of coronary artery disease, we evaluated the effects of 30 patients (10 angioplasty, 20 normal or abnormal ) Were tested, it is during diastole, coronary blood flow is the largest, and part of the flow through the occluded coronary artery turbulent flow of sound is the loudest. The model parameters (power spectral density function and polarity of the ARMA method) are used in normal / abnormal patient studies to distinguish between normal and abnormal patients in angioplasty