McCombie D, Asada H, Reisner A
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3490-3. doi: 10.1109/IEMBS.2005.1617231.
A method for estimating cardiovascular dynamics and cardiac output waveforms using signals derived from two PPG sensors is presented. The method employs a novel signal-processing algorithm known as Laguerre Model Blind System Identification to identify the vascular dynamics associated with the measured PPG signals. A unique deconvolution method is then used with the identified Laguerre models to estimate the cardiac output waveform. Initial results implementing the method on data derived from a human subject is presented. Results show good agreement between the morphology of the estimated waveform and the typical morphology of the human cardiac output waveform.
提出了一种使用从两个PPG传感器获取的信号来估计心血管动力学和心输出量波形的方法。该方法采用一种称为拉盖尔模型盲系统识别的新型信号处理算法，以识别与测量的PPG信号相关的血管动力学。然后，使用一种独特的反卷积方法和已识别的拉盖尔模型来估计心输出量波形。展示了在来自人类受试者的数据上实施该方法的初步结果。结果表明，估计波形的形态与人类心输出量波形的典型形态之间具有良好的一致性。
