Akay M, Mulder E J
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
IEEE Trans Biomed Eng. 1998 Sep;45(9):1097-103. doi: 10.1109/10.709552.
Fractal methods have been found to be useful in characterizing biomedical signals. The use of fractal estimation requires the estimation of parameter H, which is directly related to the fractal dimension D. Here, we propose a new approach which is a combination of the wavelet transform and fractal estimators to characterize the human fetal breathing signals before and after the intake of two glasses of wine by a mother. This study was performed on 26 fetuses. The variances of the wavelet coefficients were estimated at each scale. The slope of the representation on a logarithmic plot from the scales 5 to 1 was found to be increased after alcohol intake. Our results suggested that fetal breathing rates have a rough structure before the alcohol intake and a smooth structure after alcohol intake.
分形方法已被证明在表征生物医学信号方面很有用。分形估计的使用需要估计参数H，它与分形维数D直接相关。在此，我们提出一种新方法，该方法是小波变换和分形估计器的组合，用于表征母亲摄入两杯葡萄酒前后的人类胎儿呼吸信号。这项研究对26名胎儿进行。在每个尺度上估计小波系数的方差。发现在摄入酒精后，从尺度5到1的对数图上的表示斜率增加。我们的结果表明，胎儿呼吸频率在摄入酒精前具有粗糙结构，而在摄入酒精后具有平滑结构。
