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糖尿病患者血糖水平与生活方式事件关系的时间序列数据分析。

Time-series data analysis of blood-sugar level of a diabetic in relationship to lifestyle events.

作者信息

Takeuchi Hiroshi, Kodama Naoki, Tsurumi Katsunori

机构信息

Department of Healthcare Informatics, Takasaki University of Health and Welfare, 37-1, Nakaorui-machi, Takasaki-shi, Gunma, 370-0033, Japan.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5195-8. doi: 10.1109/IEMBS.2009.5334582.

DOI:10.1109/IEMBS.2009.5334582
PMID:19965040
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.

摘要

分析了一名糖尿病患者连续12天的血糖水平时间序列数据,并将其与饮食摄入、酒精摄入和运动等生活方式事件相关联。在该分析中,为排除其他生活方式事件对血糖水平变化的影响,仅考虑目标生活方式事件发生的时间窗口内的数据。得到了三个主要结果:(1)摄入谷物或肉类/鱼类/豆类会导致血糖水平在一小时后达到峰值,(2)运动在30分钟内迅速降低血糖水平,(3)酒精摄入,尤其是啤酒,会使血糖水平升高。

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