DocumentCode :
3191393
Title :
Analyzing EEG signals under insulin-induced hypoglycemia in type 1 diabetes patients
Author :
Nguyen, Long B. ; Nguyen, A.V. ; Sai Ho Ling ; Nguyen, Hung T.
Author_Institution :
Centre for Health Technol., Univ. of Technol. Sydney, Sydney, NSW, Australia
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
1980
Lastpage :
1983
Abstract :
Hypoglycemia is dangerous and considered as a limiting factor of the glycemic control therapy for patients with type 1 diabetes mellitus (T1DM). Nocturnal hypoglycemia is especially feared because early warning symptoms are unclear during sleep so an episode of hypoglycemia may lead to a fatal effect on patients. The main objective of this paper is to explore the correlation between hypoglycemia and electroencephalography (EEG) signals. To do this, the EEG of five T1DM adolescents from an overnight insulin-induced study is analyzed by spectral analysis to extract four different parameters. We aim to explore the response of these parameters during the clamp study which includes three main phases of normal, hypoglycemia and recovery. We also look at data at the blood glucose level (BGL) of 3.3-3.9 mmol/l to find a threshold to distinguish between non-hypoglycemia and hypoglycemia states. The results show that extracted EEG parameters are highly correlated with patients´ conditions during the study. It is also shown that at the BGL of 3.3 mmol/l, responses to hypoglycemia in EEG signals start to significantly occur.
Keywords :
blood; diseases; electroencephalography; medical signal processing; spectral analysis; EEG parameter extraction; EEG signal analysis; T1DM adolescents; blood glucose level; electroencephalography signals; glycemic control therapy; insulin-induced hypoglycemia; nocturnal hypoglycemia; overnight insulin-induced study; spectral analysis; type 1 diabetes mellitus; Blood; Clamps; Correlation; Diabetes; Electroencephalography; Sleep; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609917
Filename :
6609917
Link To Document :
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