Compensation for two specific types of artifact in pulse wave using a Kalman filter

Abstract

An algorithm is proposed to interpolate the pulse wave during the measurement of SpO2 by using Kalman filter identification of autoregression (AR) coefficients, Kalman filter interpolation, and a fixed-interval smoother. This combined algorithm picks up the pulse rate smoothly from pulse waves contaminated by two specific artifact types: respiration artifact and sporadic body movement artifact.