The application of signal averaging to the NIBP oscillometric waveform

Abstract

This paper describes the application of Ensemble Signal Averaging (ESA) to the problem of motion artifact reduction in the oscillometric non-invasive blood pressure (NIBP) signal. The algorithm described addresses the problems of preserving the cuff pressure (CP) vs pulse size envelope shape, dealing with the case of a long pulse delay, using limited CPU resources, and optimizing the determination cycle time.

Preliminary Study of Motion Artifact Rejection for NIBP measurement in an Ambulance

“…frequency-domain filtering methods or Kalman filter were generally applied to reject the motion artifact [3][4][5]. However, since the frequency bandwidth of motion artifact overlaps with the oscillometric signal, it is not easy to reject the effect of the motion artifact successfully.…”