Dromer O, Alata O, Bernard O
XLIM-SIC, Department of Signal Images and Communication of XLIM Laboratory, UMR CNRS 6172, University of Poitiers, B. P. 30179, 86962 Chasseneuil-Futuroscope, France.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6930-3. doi: 10.1109/IEMBS.2009.5333634.
The Cardiac Output (CO) can be calculated from the thoracic cardio-impedance signal from several methods, and all of them are linked to the frequency information, information that is limited by the type of filtering used before. A methodology is proposed to evaluate the effect of the commonly used methods of filtering, and an improvement of the SFLC LMS-based algorithm by the use of RLS algorithm is also tested. Performances of algorithms are then evaluated considering different types of noise such as white noise or combination of sinusoidal noises to simulate the effect of respiration and body movements.
心输出量（CO）可通过多种方法从胸段心阻抗信号中计算得出，且所有这些方法都与频率信息相关，而该频率信息受之前所使用的滤波类型限制。本文提出一种方法来评估常用滤波方法的效果，同时还测试了通过使用RLS算法对基于SFLC LMS的算法进行改进。然后，考虑不同类型的噪声，如白噪声或正弦噪声组合，以模拟呼吸和身体运动的影响，对算法的性能进行评估。
