Time-series data analysis of home blood flow velocity measurements from radial artery in relation to lifestyle factors

Time-series data of home blood flow velocity measurements from the radial artery of six female subjects who felt they had poor peripheral circulation were analyzed in relation to their lifestyle factors, such as nightly sleeping hours and the number of walking steps. Correlations between time-series data of daily blood flow velocity and lifestyles were examined using a time-delayed correlation analysis method that is based on the simple idea that the accumulated effects of lifestyle could affect personal health with some delay. We found that daily blood flow velocities from the radial artery noticeably increased during the hottest months of summer (July to August in Japan) for four subjects. The time-delayed correlation analysis revealed a significant positive correlation between systolic blood flow velocity from the radial artery and sleeping hours for all six subjects, while the relationship between systolic blood flow velocity from the radial artery and walking steps was found to be complicated. That is, the analysis found a significant positive correlation for three subjects, a significant negative correlation for two subjects, and no correlation for one subject.