Abstract
Objective To design an analysis software to better evaluate the effect of atmospheric temperature on blood pressure (BP). Methods The BP data were from 10 healthy subjects in Nanchang during 2009.1.1–3.31. They take two home BP readings in the morning and evening. The maximal and minimal atmospheric temperatures of each day were from the weather forecast. After screening the relationship between BP and temperature by using regression analysis, vector cosine angle calculation method, filters and signal analysis, least square algorithm for fitting analysis, and the temperature and BP curve cross-correlation calculation, the relationship between the minimum temperature and the morning SBP in the same day was proved as the strongest. On this basis, the minimal temperature and the morning SBP were selected as the main parameters for software design. The designed software can create BP and temperature curves, BP–temperature step change curve, the scatter and the coefficient of linear correlation between BP and temperature, the fitting degree of the BP curve and temperature curve. Results Upon the report from this designed software, the BP response to atmospheric temperature can be evaluated easily and quantitatively in different subjects. Although majority of these subjects showed negative relation between SBP and the atmospheric temperature, the extent was quite different. Conclusion This analysis software is suitable for evaluating the relationship between temperature and BP. The BP response to atmospheric temperature was sensitive in some and was not in others. Objective To design an analysis software to better evaluate the effect of atmospheric temperature on blood pressure (BP). Methods The BP data were from 10 healthy subjects in Nanchang during 2009.1.1–3.31. They take two home BP readings in the morning and evening. The maximal and minimal atmospheric temperatures of each day were from the weather forecast. After screening the relationship between BP and temperature by using regression analysis, vector cosine angle calculation method, filters and signal analysis, least square algorithm for fitting analysis, and the temperature and BP curve cross-correlation calculation, the relationship between the minimum temperature and the morning SBP in the same day was proved as the strongest. On this basis, the minimal temperature and the morning SBP were selected as the main parameters for software design. The designed software can create BP and temperature curves, BP–temperature step change curve, the scatter and the coefficient of linear correlation between BP and temperature, the fitting degree of the BP curve and temperature curve. Results Upon the report from this designed software, the BP response to atmospheric temperature can be evaluated easily and quantitatively in different subjects. Although majority of these subjects showed negative relation between SBP and the atmospheric temperature, the extent was quite different. Conclusion This analysis software is suitable for evaluating the relationship between temperature and BP. The BP response to atmospheric temperature was sensitive in some and was not in others.
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