Abstrait

Significance Analysis of Different Time Domain Measures Of HRV to Differentiate Normal and On-Music States

Anilesh Dey, Sanjay Kumar Palit, D. K. Bhattacharya, D.N. Tibarewala

The present article establishes the significant difference between normal and on-music HRV data by applying the notion of Two Factor ANOVA. First of all, an attempt has been made to ascertain which of the seven available standard time domain measures of HRV data are significantly different and which are not so by the statistical test single factor ANOVA or its modified forms as and when necessary. It is found that in both of normal/pre-music and on-music states, all the measures show significant difference as a whole; the problem remains to identify exactly the measures, which cause the significant difference. This is done by applying Tukey’s multiple comparison test or by Newman-Keul’s test on pair wise means as and when required. This shows that there exists exactly one pair of measures, which are similar, but the rest five are significantly different in pre-music/normal state and two pairs of similar measures and the rest three are significantly different in on-music state. On comparing similar measures of normal and on-music states, it is found that there exists exactly one pair of similar measures common to both the states. Finally, the two factor ANOVA is applied, which successfully differentiates the aforesaid two states.