Saman Parvaneh

Utilizing occurrence sequence of Heart Rate's phase space points in order to discriminate heart Arrhythmia

Poincare plot analysis of RR time series allows a beat-to-beat approach to Heart Rate Variability (HRV), detecting patterns associated with nonlinear processes. Since the measurement of standards descriptors of Poincare plot is based on the points distribution in relation to the line of identity (y=x), we have concentrated on it and evaluated the points behavior related to this line. For this purpose, we test two global and local analyses of points against the identity line. For evaluating these two novel features of Poincare plot, we try to use them for distinguishing four groups of subjects (Arrhythmia, Congestive Heart Failure (CHF), Atrial Fibrillation (AF) and Normal Sinus Rhythm (NSR)). Kruskal-Wallis test was used to define the level of significance of features. The results show that global feature discriminate different groups by p<6E-7, and local feature discriminate them by p<2E-7.

How to interpret psychology from heart rate variability

In this paper, we have used the color stimuli to define the arousal level of subjects by analyzing their heart rate variability (HRV). For this analysis, we have used the novel Triangular Phase Space Mapping (TPSM) and try to distinguish two groups of emotions, calm and energetic. The results show that cold colors are associated with low arousal level and hot colors are in relation with high arousal level.