文献类型: 会议论文
第一作者: Barbara Simon
作者: Barbara Simon 1 ; Ádám Hartveg 1 ; Máté Siket 2 ; Lehel Dénes-Fazakas 3 ; Gyórgy Eigner 1 ; Levente Kovács 1 ; László Szilágyi 1 ;
作者机构: 1.University Research and Innovation Center, Physiological Controls Research Center, Óbuda University, Budapest, Hungary|John von Neumann Faculty of Informatics, Biomatics and Applied Artificial Intelligence Institute, Óbuda University, Budapest, Hungary
2.University Research and Innovation Center, Physiological Controls Research Center, Óbuda University, Budapest, Hungary
3.University Research and Innovation Center, Physiological Controls Research Center, Óbuda University, Budapest, Hungary|John von Neumann Faculty of Informatics, Biomatics and Applied Artificial Intelligence Institute, Óbuda University, Budapest, Hungary|Applied Informatics and Applied Mathematics Doctoral School, Óbuda University, Budapest, Hungary
关键词: Protocols;Data collection;Predictive models;Physiology;Glucose;Diabetes;Pancreas
会议名称: IEEE International Conference on Computational Cybernetics and Cyber-Medical Systems
主办单位:
页码: 375-380
摘要: This paper describes clinical trials which are aimed to understand the relationship between blood glucose level changes and physical activity in type 1 diabetics. Also, the paper introduces our study, including the protocol and preliminary statistics on the collected data. Our study observes type 1 diabetic individuals in everyday living conditions. During the study, the subjects log their insulin intake, physiological status (circadian rhythm, menstruation, stress), nutrient and fluid intake, and medication intake by means of electronic diaries. In addition, heart rate is automatically collected from a wearable device. The data will be used to investigate the effect of physical activity on blood glucose levels, e.g. for virtual patient system model development (digital twin), to develop and refine physical activity detection, and to refine blood glucose prediction.
分类号: tp3
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