介绍了一种基于小波变换的分形分析方法 ,并将它成功地应用于心房纤颤的检测中 .该方法提取了一个特征值r,结果表明在心房纤颤开始时 ,特征值是上升的 ,心房纤颤结束后 ,特征值又慢慢恢复到原来的数值 ,由此可以成功地检测出心房纤颤的开始和结束 .此外 ,由于特征值同时反映了heartratevariability(HRV)信号的复杂程度 ,所以同时它也表明 :心房纤颤开始后 ,HRV信号的复杂度是下降的 A fractal analysis method based on wavelet transform is introduced and successfully applied in the detection of atrial fibrillation.The method extracts a eigenvalue r and the results show that the eigenvalue is increased at the beginning of atrial fibrillation, After the atrial fibrillation is over, the eigenvalues ​​slowly return to their original values, so that the onset and the end of atrial fibrillation can be successfully detected.In addition, since the eigenvalues ​​also reflect the complexity of the heart rate variability (HRV) signal It also shows that the complexity of HRV signals decreases after the onset of atrial fibrillation