摘要
介绍了一种在标准 1 2导联心电图中消除噪声信号的正交化方法。使用一种基于奇异值分解 (SVD)的算法 ,将信号分解为两个时正交的子空间即一个包含了 ECG信号 ,另一个则包含了人工噪声 ,诸如基线漂移 (BW)和肌电信号 (EMG) ,这种方法利用了存在于 1 2导联心电图中的冗余。在完整丢失信道的重建方面该方法也适用。最后 。
In this paper, we proposed an orthogonal method for noise signal elimination in standard 12-leads ECG. We used an algorithm based on single value decomposition to decomposed the signal into tow time- orthogonal subspaces: one contains ECG signal, the other contains artificial noise such as baseline wander and electromyography. This method used the redundancy existing in 12-lead ECG. This method also can used in reconstruction of complete lost channel. At last, we proposed on-line performance of this method.
