Sivannarayana N, Reddy D C
Research Centre Imarat, Vigyanakancha, Hyderabad, India.
Med Eng Phys. 1999 Apr;21(3):167-74. doi: 10.1016/s1350-4533(99)00040-5.
The parameters of various morphologies of ECG waveform are basic in characterizing them as normal or otherwise. The use of multiscale analysis, through biorthogonal wavelets presented in this paper, appears very promising for such a characterization. This is on account of the fact that various morphologies are excited better at different scales. From these different scales, amplitudes, durations and various segments, widths can be determined more accurately. Simulation studies, with real ECG data, have shown that even when the signal-to-noise ratios are poor, the proposed technique can be used to accurately estimate the said parameters.
心电图波形各种形态的参数是将其表征为正常或异常的基础。通过本文提出的双正交小波进行多尺度分析，对于这种表征似乎非常有前景。这是因为各种形态在不同尺度下能得到更好的激发。从这些不同尺度中，可以更准确地确定振幅、持续时间以及各个段的宽度。利用真实心电图数据进行的模拟研究表明，即使信噪比很差，所提出的技术也可用于准确估计上述参数。
