Meal-time Detection by Means of Long Periods Blood Glucose Level Monitoring via IoT Technology
arxiv(2023)
摘要
Blood glucose level monitoring is of great importance, especially for
subjects experiencing type 1 diabetes. Accurate monitoring of their blood
glucose level prevents dangerous and life-threatening situations that might be
experienced by those subjects. In addition, precise monitoring of blood glucose
levels over long periods of time helps establishing knowledge about the daily
mealtime routine which aids the medical staff to monitor subjects and properly
intervene in hazardous cases such as hypo- or hyperglycemia. Establishing such
knowledge will play a potential role when designing proper treatment
intervention plan. In this research, we present a complete IoT framework,
starting from hardware acquisition system to data analysis approaches that
gives a hand for medical staff when long periods of blood glucose monitoring
are essential for subjects. Also, this framework is validated with real-time
data collection from 7 subjects over 10 successive days with temporal
resolution of 5 minutes allowing for near real-time monitoring and analysis.
Our results show the precisely estimated daily mealtime routines for 4 subjects
out of the 7 with discard of 3 subjects due to huge data loss mainly. The daily
mealtime routines for the 4 subjects are found to be matching to have a pattern
of 4 periods of blood glucose level changes corresponding to the breakfast
around 8 AM, the lunch around 5 PM, the dinner around 8 PM, and finally a
within-day snack around 12 PM. The research shows the potential of IoT
ecosystem in support for medically related studies.
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关键词
iot technology,blood glucose level
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