Akay M, Akay Y M, Welkowitz W, Semmlow J L, Kostis J
Biomedical Engineering Department, Rutgers University, Piscataway, NJ 08855-0909.
Ann Biomed Eng. 1993;21(1):9-17. doi: 10.1007/BF02368160.
This article presents a new signal processing application that can be used for acoustical detection of coronary artery disease before and after angioplasty. The adaptive Autoregressive (AR) method based on the FTF/FAEST (Fast transversal filters/Fast a posteriori error sequential techniques) is used to track acoustical behavior associated with coronary occlusions. Using the amplitude trajectory of the second pole pair of this method, 9 out of 10 angioplasty patients were correctly identified using a blind protocol without prior knowledge of whether a given recording was made before and after angioplasty. These results were obtained from signals located between 200 and 300 msec after the end of the second heart sound during the diastolic period.
本文介绍了一种新的信号处理应用，可用于在血管成形术前后对冠状动脉疾病进行声学检测。基于FTF/FAEST（快速横向滤波器/快速后验误差序列技术）的自适应自回归（AR）方法用于跟踪与冠状动脉闭塞相关的声学行为。使用该方法第二对极点的幅度轨迹，在对给定记录是否在血管成形术前后进行毫无先验知识的情况下，采用盲法协议，10名血管成形术患者中有9名被正确识别。这些结果来自舒张期第二心音结束后200至300毫秒之间的信号。
