Pregnancy is still one of the most delicate stages in a woman’s life, especially in the third world countries. In this project, we propose to characterize and analyse the respiratory and cardiovascular systems using the Poincaré plot. 112 pregnant women that suffered different pregnancy illnesses and 10 Non-pregnant women were analysed.
In this project we implement a new algorithm to an already established method of analysis, the 3 dimension Segmented Poincaré Plot Analysis (3DSPPA).
RR, SYS, DIA and TRESP time series were extracted from the ECG, blood pressure and respiratory flow signals, respectively.
Parameters that describe the importance of the concentrations of the scatterplot of the Poincaré method along their relative positions, related to a series of levels described by the user, were extracted. An analysis of those extracted parameters lead to our results.
These results show a difference between the studied parameters from every health condition analysed leading us to be able to discern between them with our algorithm
