Analysis of the CS Group
HEART
For the CS group, in the first stage of analysis the non-parametric Friedman test for HR (Heart Rate) was applied to the coupled data and a p-value < 0.0001 was obtained. This means that there is a statistically significant difference between the compared HR values (objects). Then, for further detailed conclusions, the Nemenyi multiple test was applied and the obtained p-values are shown in Table P-values of Nemenyi test of HR for CS.Values in bold—statistically significant differences, NS—no statistically significant differences.Subsequently, hierarchical clustering with the Euclidean measure and the complete method was applied as part of the multivariate statistical analysis of the data. The results of the hierarchical clustering are presented graphically in the form of a dendrogram (Fig. A dendrogram of similarities between the HR values in the CS group, based on hierarchical cluster analysis according to the complete clustering method.In the CS group, when analysing the data for HF (High Frequency), the non-parametric Friedman test was also applied and a p-value = 0.058 was obtained. This means that there is no statistically significant difference between the compared values of the High Frequency component of the heart rate. The dendrogram of hierarchical grouping with the Euclidean measure and the complete method is presented in Fig. A dendrogram of similarities between the HF values in the CS group based on hierarchical cluster analysis according to the complete clustering method.In the CS group, when analysing LF (Low Frequency) values, as with HR and HF, the non-parametric Friedman test was first applied to the coupled data and a p-value < 0.0001 was obtained. This means that there is a statistically significant difference between the compared LF values (objects). Then, for further detailed conclusions, the Nemenyi multiple test was applied and the obtained p-values are shown in Table P-values of the Nemenyi test of LF for the CS group.Values in bold—statistically significant differences, NS—no statistically significant differences.The dendrogram of hierarchical clustering with Euclidean measure and complete method for LF values in the CS group is shown in Fig. A dendrogram of similarities between the LF values in the CS group based on hierarchical cluster analysis according to the complete clustering method.