Analyzing EEG Signals under Insulin-induced Hypoglycemia in Type 1 Diabetes Patients

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013, pp. 1980 - 1983
Issue Date:
2013-01
Full metadata record
Files in This Item:
Filename Description Size
Analyzing EEG Signals.pdfAccecpted manuscript304.19 kB
Adobe PDF
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.
Please use this identifier to cite or link to this item: