Title: PPG-based Windkessel model parameter identification via unscented Kalman filtering

Authors: Akhil Walia; Amit Kaul

Addresses: Electrical Engineering Department, National Institute of Technology Hamirpur, Himachal Pradesh 177005, India ' Electrical Engineering Department, National Institute of Technology Hamirpur, Himachal Pradesh 177005, India

Abstract: Modelling of arterial system is helpful in understanding the cardiovascular system and related ailments. Among various methods, Windkessel model is one approach which plays significant role in understanding the working principle of natural arterial system. The Windkessel models describe the hydraulic properties of arterial system. In this paper, PPG-based Windkessel model has been suggested which utilises PPG signal as measurement. State dynamics of proposed model has also been developed. The main contribution of this work lies on the identification of model parameters using extended Kalman filter (EKF) and unscented Kalman filter (UKF). Estimated parameters are compared with nominal values to validate model structures. The comparative analysis has been carried out with the pre-existing method. Execution time taken to simulate the proposed model for modelling a single PPG pulse is approximately one second.

Keywords: Windkessel model; compliance; unscented Kalman filter; UKF; inertance.

DOI: 10.1504/IJBET.2023.131710

International Journal of Biomedical Engineering and Technology, 2023 Vol.42 No.2, pp.184 - 204

Received: 21 Feb 2021
Accepted: 23 Aug 2021
Published online: 29 Jun 2023 *

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