Identification of Vascular Dynamics and Estimation of the Cardiac Output Waveform from Wearable PPG Sensors

D McCombie; H Asada; A Reisner

doi:10.1109/IEMBS.2005.1617231

Identification of Vascular Dynamics and Estimation of the Cardiac Output Waveform from Wearable PPG Sensors

Conf Proc IEEE Eng Med Biol Soc. 2005:2005:3490-3. doi: 10.1109/IEMBS.2005.1617231.

Authors

D McCombie¹, H Asada, A Reisner

Affiliation

¹ Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

PMID: 17280976
DOI: 10.1109/IEMBS.2005.1617231

Abstract

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.