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Heart rate variability,important marker for modulation of autonomic nervoussystem is studied for diabetic,hypertensive and control group ofsubjects.Lagged Poincar\'{e} plot of heart rate(HR),method of principalcomponent analysis and auto-correlation of HR fluctuation are used to analyzeHR obtained from ECG signal recorded over short time duration.The parameters$(SD1)$,$(SD2)$ and their ratio $(SD12)$,characterizing the Poincar\'{e} plotreveal a significant reduction of their values for diabetic and hypertensivesubjects compared to the corresponding results of control one.The slope and thecurvature of the plot of these parameters with lagged number exhibit similartrend.In particular,the curvature of $(SD12)$ for the control group differswidely from that of other groups.The principal component analysis is used foranalysing multi-dimensional data set resulting from the Poincar\'{e} plot forall subjects.The correlation matrix points out significant correlation betweenslope and curvature.The analysis demonstrates that three groups are wellseparated in the domain of two significant principal components.Theauto-correlation of HR fluctuation exhibits highly correlated pattern forsubjects with health disorder compared to that of control subject.

Poincar\'{e} parameters and principal component analysis of Heart rate variability of subjects with health disorder