ISSNIP

Event Name Seminar by Chandan on Dynamical Heart Rate Variability Analysis using Poincar¿¿ plot
Start Date 27th Nov 2009 3:00pm
End Date 27th Nov 2009 4:00pm
Duration 1 hour
Description

Title: Dynamical Heart Rate Variability Analysis using Poincar¿¿ plot
Speaker: Chandan
Time: 3pm-4pm Friday November 27, 2009
Place: Green Theatre, Dept. of EEE (building 193), The University of Melbourne

Abstract:
Poincar¿¿ plot is one of the important techniques used for visually representing the heart rate variability (HRV). It is valuable due to its ability to display nonlinear aspects of the data sequence. The presentation will cover two aspects of HRV signal analysis. First, to quantify temporal structure of the Poincar¿¿ plot, we propose a novel descriptor "Complex Correlation Measure (CCM)". CCM is capable of distinguishing two Poincar¿¿ plots having similar variability with different temporal dynamics. Second, to define asymmetry in the HRV signal using Poincar¿¿ plot, we propose a novel definition of asymmetry considering the geometry of Poincar¿¿e plot. The asymmetry in heart rate variability is a visibly obvious phenomenon in the Poincar¿¿e plot of normal sinus rhythm. It shows the unevenness in the distribution of points above and below the line of identity, which indicates instantaneous changes in the beat to beat heart rate. The major limitation of the existing asymmetry definition is that it considers only the instantaneous changes in the beat to beat heart rate rather than the pattern (increase/decrease). Based on the proposed definition, traditional asymmetry indices¿¿¿Guzik¿¿¿s index (GI), Porta¿¿¿s index (PI) and Ehlers¿¿¿ index (EI)¿¿¿have been redefined. The new definition resulted in a higher prevalence of normal subjects showing asymmetry in heart rate variability.

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