019x ? 1.556. Despite of relatively simple model high correlation r = 0.91 was found between AGI and age for the healthy group, which shows the strong linear relationship between two variables.Figure 7(a) The selleck chem Carfilzomib AGI data points with standard deviation (SD) bars for groups of healthy subjects and diabetes patients. The linear model line yAGI is constructed for a group of healthy subjects. (b) Bland-Altman plot for constructed model. With dotted line the …In Figure 7(b) it can be seen the Bland-Altman plot for the proposed model yAGI. The standard deviations for the model a SDAGI = 0.126. For diabetes patients the mean AGI value difference from the proposed model yAGI is meanDia= 0.359. The AGI differences from the proposed model yAGI were compared between healthy and diabetes patients groups.

Paired t-test (two-sample assuming unequal variances) was performed in MS Excel with �� = 0.05. The significance level of paired t-test was P < 0.0005, which shows the difference between two groups.4. DiscussionsWith an improved SDPPG analysis algorithm, the average standard deviation for the AGI value is 0.06, which constitutes about 5% of the whole scale of AGI [12]. Compared to the algorithm of Millasseau et al. [17], the average standard deviation is twice lower. As a result, subjects with increased arterial stiffness can be more easily differentiated from healthy subjects, and the prevention of cardiovascular disease can be improved.The relatively high correlation relation was found between AGI and age by using the algorithm with optimal edge frequency (Figure 7(a)).

This is in relation to previously published results by Takazawa et al. [12], in which a good correlation between AGI and age among healthy subjects was shown. There are still some deviations from the regression model line, yAGI, which can be caused by the impact of cardiovascular deficiencies and the subject’s biological age. In addition model can be more complex and dependent on additional variables, such as blood pressure. However, this should be considered in the scope of future studies.The noticeably higher AGI values, compared to the healthy group of subjects, were found for diabetes patients (Figure 7(a)). The same behavior is also visible in Figure 7(b). Furthermore, the statistically significant difference was found between the healthy subjects and diabetes patients.

The higher AGI values are caused by the increased arterial stiffness of diabetes patients. Nevertheless, some of the diabetes patients have similar AGI values compared to healthy subjects. It can be caused by the early diagnosis of diabetes mellitus, which is followed AV-951 with efficient therapy, and as a result premature stiffening of the arteries has been stopped.It can be seen from Figures 5(a)�C5(e) that the lowest average standard deviation was achieved when the edge frequency of PM filter is 6Hz.