Title :
Time-series data analysis of blood-sugar level of a diabetic in relationship to lifestyle events
Author :
Takeuchi, Hiroshi ; Kodama, Naoki ; Tsurumi, Katsunori
Author_Institution :
Dept. of Healthcare Inf., Takasaki Univ. of Health & Welfare, Takasaki, Japan
Abstract :
Twelve days of time-series blood-sugar level data of a diabetic were analyzed in relationship to lifestyle events such as food ingestion, alcohol intake, and exercise. In this analysis, to exclude the influence of other lifestyle events on blood-sugar level variation, only data within time-windows where the target lifestyle event occurred, were considered. Three main results were obtained: (1) ingestion of grain or meat/fish/beans caused blood-sugar level to peak after one hour, (2) exercise decreased blood-sugar level rapidly in thirty minutes, (3) alcohol intake, particularly beer, increased blood-sugar level.
Keywords :
biochemistry; blood; diseases; medical signal processing; sugar; time series; alcohol intake; blood sugar level; diabetics; exercise; food ingestion; lifestyle events; time-series data analysis; Alcohol Drinking; Beer; Blood Glucose; Diabetes Mellitus; Energy Metabolism; Exercise; Feeding Behavior; Humans; Life Style; Male; Middle Aged; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334582