Handling Missing Data in CGM Records

被引：0
|
作者：
Zulj, Sara [1 ]
Carvalho, Paulo [2 ]
Ribeiro, Rogerio [3 ]
Magjarevic, Ratko [1 ]
机构：
[1] Univ Zagreb, Fac Elect Engn & Comp, Unska 3, Zagreb, Croatia
[2] Univ Coimbra, Dept Engn Informat, Coimbra, Portugal
[3] Assoc Protectora Diabet Portugal, Lisbon, Portugal
来源：
FUTURE TRENDS IN BIOMEDICAL AND HEALTH INFORMATICS AND CYBERSECURITY IN MEDICAL DEVICES, ICBHI 2019 | 2020年 / 74卷
关键词：
Missing data; Data reconstruction; CGM; Continuous glucose monitoring;
D O I：
10.1007/978-3-030-30636-6_57
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Continuous glucose monitor (CGM) is a wearable body sensor device that automatically measures glucose at regular intervals. CGM records can be used to analyze data after the collection or for predicting certain trends in the records in real-time. Nevertheless, missing values are common in CGM records. In this paper we discuss possible methods to replace the missing values in short-length gaps, in both real-time and after the collection use.
引用
收藏
页码：420 / 427
页数：8
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