Dromer O, Alata O, Bernard O
University of Poitiers, XLIM Laboratory, Department of Signal, Images and Communication, SIC, UMR CNRS 6172, B.P. 30179, 86962 Chasseneuil-Futuroscope, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4331-4. doi: 10.1109/IEMBS.2010.5627082.
In this paper, we present two additions to the SFLC algorithm in order to improve the beat by beat estimation of fiducial points (B and X) and the maximum value of the derivative in impedance cardiography signal: addition of a reference input and scanning each beat more than once. On data synthesized from real ICG which exhibits beat by beat changes and baseline variations, we used statistical measures to show that the modified algorithms give accurate beat by beat estimation conversely to the original version of SFLC. We also give results on a real ICG using phono cardiography as a reference. In this case too, results show the pertinence of the proposed improvements.
在本文中，我们对SFLC算法进行了两处改进，以提高心冲击图信号中基准点（B和X）的逐搏估计以及导数的最大值：添加一个参考输入并对每个搏动进行多次扫描。在从真实心冲击图合成的数据上，该数据呈现出逐搏变化和基线变化，我们使用统计方法表明，与SFLC的原始版本相反，改进后的算法能给出准确的逐搏估计。我们还给出了以心音图作为参考的真实心冲击图的结果。在这种情况下，结果也表明了所提出改进的相关性。
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