Title :
Parameters characterizing nature of personal health in the correlation between energy expenditure/supply and body-fat
Author :
Takeuchi, H. ; Mayuzumi, Y. ; Kodama, Naoki
Author_Institution :
Dept. of Healthcare Inf., Takasaki Univ. of Health & Welfare, Takasaki, Japan
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Correlations between energy expenditure/supply and body-fat percentage were studied using personally stored daily time-series data. The weighting patterns for the summation of daily time-series energy expenditure and supply data giving the maximum correlations with the variation of daily body-fat percentage data were obtained. The weighting patterns can be expressed by two parameters whose combination is considered to characterize the nature of personal health. The combination of the parameters for a subject was found to show a significant bias in the frequency distribution, independent of season and aging, for the term of seven years, and the combination of the parameters of 20 other subjects showed a tendency to divide into two types.
Keywords :
data mining; health care; medical computing; medical information systems; time series; body fat percentage; daily time series energy expenditure; energy supply; frequency distribution; personal health; personally stored daily time series data; weighting pattern; Aging; Conferences; Correlation; Delay; Medical services; Time frequency analysis; Adipose Tissue; Algorithms; Computer Simulation; Eating; Energy Metabolism; Exercise; Health Status Indicators; Humans; Male; Middle Aged; Models, Biological; Physical Fitness; Statistics as Topic;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346384
