Heart beat and respiratory signals joint processing for the estimation of body adaptation system functionality

Abstract

Joint processing of respiratory and heart beat signals is considered in this paper. This joint processing makes heart rate variability analysis more reliable and improves body adaption system diagnostic in general. It is offered to use pulse-frequency modulation (PFM) and pulse-amplitude modulation (PAM) signals to represent tachogram that moves processing from frequency to time domain. Implementation issues and computational costs reduction with multirate processing are discussed. Modeling results proves the effectiveness of the offered approach.