APPLICATION OF ADAPTIVE FILTERS TO NONINVASIVE ACOUSTICAL DETECTION OF CORONARY OCCLUSIONS BEFORE AND AFTER ANGIOPLASTY
APPLICATION OF ADAPTIVE FILTERS TO NONINVASIVE ACOUSTICAL DETECTION OF CORONARY OCCLUSIONS BEFORE AND AFTER ANGIOPLASTY
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DOI：
10.1109/10.121649
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发表时间：
1992-02-01
影响因子：
4.6
通讯作者：
KOSTIS, JB
中科院分区：
文献类型：
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作者：
AKAY, M;AKAY, YM;KOSTIS, JB
先前的研究表明，冠状动脉狭窄由于这些血管中的湍流血流而产生声音[1]-[10]。这些信号的测量构成了我们无创检测冠状动脉疾病的基础。正是在冠状动脉血流最大的时候，与通过部分闭塞的冠状动脉的湍流血流相关的声音将最大[1]-[10]。在自适应线增强（ALE）后，使用自回归（AR）和自回归移动平均（阿尔马）方法[4]，[7]对从患者床边记录的孤立舒张期心音进行建模。在不事先知道给定记录是在血管成形术之前还是之后的情况下，以盲态做出决定。由此产生的模型频谱显示更大的高频成分（400和800 Hz之间）在preangioplasty患者，和一致的位移的第二极对的AR和阿尔马方法与手术的振幅。盲法评估，频谱和极点的基础上，正确分类的舒张记录在18的20例。这些结果提供了强有力的证据支持我们的假设，即冠状动脉狭窄在舒张期间产生可检测到的声音[1]-[10]。
Previous studies have indicated that coronary stenoses produce sounds due to the turbulent blood flow in these vessels [1]-[10]. Measurement of these signals forms the basis of our noninvasive approach to the detection of coronary artery disease. It is during diastole that coronary blood flow is maximum and the sounds associated with turbulent blood flow through partially occluded coronary arteries would be loudest [1]-[10]. Isolated diastolic heart sounds taken from recordings made at the patient's bedside were modeled using the autoregressive (AR) and autoregressive moving average (ARMA) methods [4], [7] after adaptive line enhancement (ALE).Decisions were made in a blind fashion without prior knowledge of whether a given recording was made before or after angioplasty. Resulting model frequency spectra showed greater high-frequency components (between 400 and 800 Hz) in preangioplasty patients, and a consistent shift in amplitude of the second pole pairs of the AR and ARMA methods with surgery. Blind assessment, based on frequency spectra and poles, correctly classified the diastolic recordings in 18 of 20 cases. These results provide strong evidence supporting our hypothesis that coronary stenoses produce detectable sounds during diastole [1]-[10].