Time-Series Data Analysis of Long-Term Home Blood Pressure Measurements in Relation to Lifestyle.
We conducted a long-term time-series analysis of an individual's home blood pressure measurements, stored on a personal healthcare system in cloud, relative to the individual's life-style. In addition to daily scattering, apparent seasonal variations were observed in both systolic and diastolic blood pressure measurements. We examined the effect of seasonal variations on the outcome of a healthcare data mining process that extracts rules between blood pressure measurements and life-style components such as exercise and diet, and found that the daily blood pressure data approached a normal distribution when adjusted for the seasonal variations. This implies that an adjustment is desirable in order to produce appropriate rules in the healthcare data mining process.
Department of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Hiroshi
H
Takeuchi
Department of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Naoki
N
Kodama
Department of Healthcare Informatics, Takasaki University of Health and Welfare, Takasaki, Gunma, Japan.
Shingo
S
Takahashi
D001794:Blood Pressure / Q000502:physiology*; D001795:Blood Pressure Determination / Q000706:statistics & numerical data*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008019:Life Style; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012621:Seasons; D012648:Self Care / Q000379:methods*; D012680:Sensitivity and Specificity