Stridh M, Sörnmo L
Signal Processing Group, Department Applied Electronics, Lund University, S-221 00 Lund, Sweden.
IEEE Trans Biomed Eng. 2001 Jan;48(1):105-11. doi: 10.1109/10.900266.
A new method for QRST cancellation is presented for the analysis of atrial fibrillation in the surface electrocardiogram (ECG). The method is based on a spatiotemporal signal model which accounts for dynamic changes in QRS morphology caused, e.g., by variations in the electrical axis of the heart. Using simulated atrial fibrillation signals added to normal ECGs, the results show that the spatiotemporal method performs considerably better than does straightforward average beat subtraction (ABS). In comparison to the ABS method, the average QRST-related error was reduced to 58 percent. The results obtained from ECGs with atrial fibrillation agreed very well with those from simulated fibrillation signals.
提出了一种用于消除QRST的新方法，以分析体表心电图（ECG）中的心房颤动。该方法基于时空信号模型，该模型考虑了例如由心脏电轴变化引起的QRS形态的动态变化。通过将模拟的心房颤动信号添加到正常心电图中进行实验，结果表明，时空方法的性能明显优于直接的平均搏动减法（ABS）。与ABS方法相比，平均QRST相关误差降低到了58%。从伴有心房颤动的心电图中获得的结果与从模拟颤动信号中获得的结果非常吻合。
