Cyclic system reconfiguration for adaptive separation of lung and heart sounds
Cyclic system reconfiguration for adaptive separation of lung and heart sounds
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DOI：
10.1109/acc.2006.1657247
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发表时间：
2006-06
期刊：
影响因子：
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通讯作者：
Han Zheng;L. Wang;Hong Wang;Guohua Xu
中科院分区：
文献类型：
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作者：
Han Zheng;L. Wang;Hong Wang;Guohua Xu
本文介绍了一种改进的信号分离方法，用于去除噪声，分离心肺音。与传统的噪声消除和信号分离方法依赖于频带分离或统计独立性来实现信号分离不同，该方法利用呼吸和心动周期中的时间分裂阶段的独特特征来简化盲源分离问题并增强算法性能。通过采用多传感器系统，该方法执行时间分割信道识别，自适应信号分离，和噪声消除，从周期到周期的递归。由于不需要频率分离或统计独立性，该方法可以提供鲁棒和可靠的信号提取能力，以提高医疗诊断的准确性和可靠性
This paper introduces an improved methodology of signal separation for removing noise and separating heart and lung sounds. Unlike traditional noise cancellation and signal separation methods that rely on frequency band separation or statistical independence to achieve signal separation, this methodology utilizes the unique feature of time-split stages in breath and cardiac cycles to simplify the blind source separation problem and enhance algorithm performance. By employing a multi-sensor system, the method performs time-split channel identification, adaptive signal separation, and noise cancellation, with recursion from cycle to cycle. Since no frequency separation or statistical independence is required, this method can provide a robust and reliable capability of signal extraction for enhancing accuracy and reliability of medical diagnosis